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© 2017 The Author(s)
Published by S. Karger AG, Basel
Viewpoint – Review
Digit Biomark
Pharmaceutical Perspective: How Digital
Biomarkers and Contextual Data Will Enable
Therapeutic Environments
Carlos Rodarte
Volar Health, LLC, Cambridge, MA, USA
Keywords
Digital biomarkers · Digital health · Built environment
Abstract
Digital biomarkers are helping to reshape the understanding of health and disease, which will
have an impact in how an individual’s relationship to the environment is assessed, how re-
search is conducted, and how treatment effectiveness is determined. In particular, this article
highlights key activities by the pharmaceutical industry as they explore the utility and rele-
vance of digital biomarkers across the value chain. Lastly, this paper will discuss how digital
biomarkers, in conjunction with digital environmental markers, will pave the way for the cre-
ation of healthy spaces that more directly improve patient outcomes.
© 2017 The Author(s)
Published by S. Karger AG, Basel
Introduction
Sensor technology has broad applications in research and healthcare with devices built
to monitor blood pressure, skin conductance, mobility, posture, oxygen levels, respiration,
sleep, temperature, heart rate, and more [1]. Particularly, many of these devices are being
used by the pharmaceutical industry and, as a result, have increased their confidence in the
value of digital biomarkers [2] (Table 1).
The utilization of such devices will only increase as market forecasts expect the remote
monitoring and sensor-based markets to grow rapidly. Such added levels of connectivity will
enable a better understanding of human behavior, digital biomarkers, and the role of physical
environment. This additional environmental quantification will bring with it additional ter-
minology from disciplines such as public health, about which pharmaceutical companies are
not accustomed to routinely thinking (Fig. 1).
Received: April 18, 2017
Accepted: August 2, 2017
Published online: August 17, 2017
Carlos Rodarte
Volar Health, LLC
45 Prospect Street
Cambridge, MA 02139 (USA)
E-Mail carlos@volarhealth.com
www.karger.com/dib
ThisarticleislicensedundertheCreativeCommonsAttribution-NonCommercial-NoDerivatives4.0Interna-
tional License (CC BY-NC-ND) (http://www.karger.com/Services/OpenAccessLicense). Usage and distribu-
tion for commercial purposes as well as any distribution of modified material requires written permission.
DOI: 10.1159/000479951
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© 2017 The Author(s). Published by S. Karger AG, BaselDOI: 10.1159/000479951
Once sensor implementation challenges – accuracy, privacy, and data integration to name
a few – are overcome, a growing body of evidence will highlight the many ways continuous
measurement of physiology via biosensors can play a role in managing health and improving
access to care [3]. We already see how technology use, via social media, leaves a digital trace,
a reflection, of how an individual may be feeling or subtly changing over time, as with sleep
or insomnia [4]. Other research shows how such traces correspond to real-world mobility
patterns and reflect urban land use [5].
Care delivery has improved as a result of the new and novel data emerging from digital
biomarkers, which have enhanced our knowledge of disease progression and helped to
identify patient subtypes [6], but overall progress has been minimal to date. Less explored
is the context or environment surrounding the capture of digital biomarkers, which can help
to strengthen their signal but also provide a glimpse into the everyday life of patient expe-
rience.
This discussion will hone in on the particular set of opportunities and incentives that
exist in the pharmaceutical industry for digital biomarker research to understand new forms
Table 1. Examples of commercial and R&D sensors for tracking vital signs and behavior [2]
Vital sign or behavior Wearable location (form factor) Environment location
Blood pressure Arm (cuff)
Wrist (watch)
Chest (clothing)
Bed
Chair
ECG Chest (phone case, clothing, necklace)
Waist (belt)
Bed
Chair
Heart rate Finger (ring)
Ear (headset, earlobe clip)
Chest (phone case)
Nose bridge (glasses)
Forehead (hat)
Bed
Chair
Camera
(face, mirror)
Pulse oximetry Finger (ring, glove)
Forehead (mounted sensor)
Blood glucose Waist (device)
Eye (contact lens)
EEG Head (headset)
Breathing Chest (device, vest) Camera (face)
Sleep Wrist (watch)
Ankle (watch)
Head (headset)
Chest (device)
Bed, mattress
Bedside
Camera
Body temperature Wrist (watch)
Forehead (patch)
Camera
Motion Wrist (watch)
Ankle (watch)
Foot (shoe)
Leg (stocking)
Waist (belt)
Chest (necklace)
Camera
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© 2017 The Author(s). Published by S. Karger AG, BaselDOI: 10.1159/000479951
of data, improve research, and measure real-world effectiveness of medications. Additionally,
this paper will explore how digital biomarkers can serve as a catalyst for directly modifying
the environment to improve health and well-being.
Discussion
The Pharmaceutical Business Model Is Evolving
The pharmaceutical industry is undergoing a business model transformation that is
expanding its focus from a product-based company into a more services-oriented model [7].
Competitive forces and the desire to differentiate in the market are primary reasons why
service models are being employed. To name a few examples, Verily and Sanofi partnered to
create Onduo, a diabetes-based disease management program, while Teva Pharmaceuticals
and Roche have taken a more acquisition-based strategy – Teva Pharmaceuticals acquiring
Gecko Health Innovations for improved medication adherence and Roche Pharmaceuticals
acquiring mySugr to further strengthen its service offering in diabetes.
The hope is that in developing solutions that enhance the patient experience, the combi-
nation of drug therapy plus digital health services will improve patient outcomes but also
furtherdifferentiatethetotaloffering.Regulatorybodies,suchastheFDA,havebeenproviding
further clarity on new forms of evidence requirements through the 21st Century Cures Act
and more recently the creation of their Digital Health Program, as part of the Center for
Devices and Radiological Health (CDRH) [8]. These initiatives further enable a more rapid
transition by pharma towards new business model exploration.
From a research perspective, the pharmaceutical industry is incentivized to understand
and utilize new forms of data and methods to improve its clinical trials. However, when it
comes to incorporating novel forms of data that might provide a context to treatments in a
study setting, pharmaceutical companies find themselves in a conundrum – include explor-
atory components and risk a more complex trial, or keep a trial streamlined but potentially
miss novel insights by purposely excluding novel data sources or devices. The interplay of
these factors has been well documented [9].
From a commercial perspective, pharmaceutical companies face increasing pressure
from payers to justify the value of their therapies based on how they perform in the real
world. Such real-world evidence represents a way to ensure that medicines are actually bene-
Normalized difference
Vegetation index
Phototrophic
Green buildings
Exposome
Confounding
variables
Biophilia
Walkability
Interior design
Epidemiology
Sick building
syndrome
Light
Sustainability
Healthy spaces
Context
Ecology
Physical
environment
Weather
Sound pollution
Building-omics
Built environment
Social
determinants
Particulate
matter
Epigenetics
Pollution
Global warming
Fig. 1. Digital biomarker contextual map.
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fitting patients, and pharmaceutical companies are paying attention. A recent survey of 15 life
sciences companies shows how real-world evidence is a priority, with over 50% of respon-
dents said to be investing in their real-world evidence programs in order to enhance their
capability [10].
How Pharmaceutical Companies Are Involved with Digital Biomarkers
In some diseases, digital biomarkers can improve our understanding of the natural
history of disease through more continuous measurement of objective health data [11]. Such
an approach enhances the often limited clinical encounters patients have with their clinicians,
which is particularly relevant in diseases where symptom presence and severity is more
variablethaninitiallyexpected,orindiseasesthataligntomeasurescapturedthroughcurrent
devices, such as mobility in neurodegenerative conditions [12].
Pharmaceutical companies are exploring pilot studies and strategic initiatives across a
number of different therapeutic areas, with a range of partners and devices. In some cases
pilot studies are meant to test the feasibility of a research process involving wearables,
whereas in others the focus is to embark on large, multi-year studies to help shape our
knowledge of disease progression through various means, including digital biomarkers.
A representative list of examples is shown below:
•• Respiratory Conditions. Through its sensor-outfitted inhalers, Propeller Health is able to
identify environmental triggers for patients with asthma, chronic obstructive pulmonary
disorder, and other respiratory conditions [13]. These efforts have resulted in Asthma
Hotspot maps across the US including Louisville, KY. Propeller Health has partnered with
numerous health systems and pharmaceutical companies, including GlaxoSmithKline,
Boehringer Ingelheim, and AstraZeneca. Boehringer Ingelheim has also partnered with
PatientsLikeMe in idiopathic pulmonary fibrosis to test consumer wearables in the real
world [14].
•• Neurodegenerative Conditions. Symptom presence and severity in conditions like Par-
kinson disease, multiple sclerosis, and Alzheimer disease are benefitting from digital
biomarker efforts. Roche built a Parkinson disease app to capture voice-related in-
formation, Biogen partnered with PatientsLikeMe to understand physical activity
measurement in patients with multiple sclerosis, and Neurotrack measured cognitive
ability remotely to assess cognition in patients with Alzheimer disease. Formal study
results are not available for all, but Parkinson disease results utilizing voice have shown
promise in prior efforts [12].
•• Cardiovascular Disease. Recent efforts to expand our understanding of cardiovascular
disease beyond the Framingham Heart Study have started, notably a research grant of
USD 75 million for Dr. Calum MacRae from Brigham and Women’s Hospital, spearheaded
by Verily Life Sciences (Mountain View, CA, USA), AstraZeneca (Cambridge, UK), and the
American Heart Association. In part, the study aims to identify the factors that contribute
to disease onset and outcomes along the entire patient journey, in a manner that accounts
for various data sources including objective sensor information and environmental data.
•• Diabetes. Diabetes continues to be an area of much innovation for digital therapeutics,
in many cases in partnership with pharmaceuetical companies. Omada Health (San
Francisco, CA, USA) is a pioneer in bringing evidence-based digital therapeutics to the
area of pre-diabetes/diabetes where behavior change approaches leverage coaching
plus a host of tools enabling objective data capture. More recently, Merck & Co. and
Amazon’s Alexa are exploring the creation of diabetes tools, and Sanofi and Verily
recently announced Onduo – with funding of USD 500 million dollars to build a next-
generation diabetes platform that captures a range of data types and can be applied from
research to care.
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© 2017 The Author(s). Published by S. Karger AG, BaselDOI: 10.1159/000479951
Virtual Research and Real-World Evidence Benefit from Contextual Data
As digital biomarkers, environmental context, and our need to better quantify disease
merge, companies that enable studies to be done remotely without the need of a physical
clinical site are proving to be a test bed for pharmaceutical innovation. These virtual research
platforms, such as Science37 (Los Angeles, CA, USA), MonARC Bionetworks, Inc. (Palo Alto,
CA, USA), Koneksa Health (New York City, NY, USA), Evidation Health (San Mateo, CA, USA),
THREAD Research (Tustin, CA, USA), and Medidata Solutions (New York City, NY, USA), all
work with pharmaceutical companies in some capacity to help spearhead goals of leveraging
novel technology in research studies.
The pharmaceutical industry has come a long way since Pfizer’s Overactive Bladder
virtual study leveraging “electronic health tools” [15] and the use purely electronic patient-
reported outcomes (ePROs). Much more is known about how to recruit patients in clinical
trials, and more recently, the term electronic device-reported outcomes (eDROs) has been
introduced. eDROs aim to blend objective data from sensor-driven device technologies
alongside patient self-report [16]. Environmental or contextual data is not routinely captured
alongside ePROs and eDROs. Evidation Health, however, is aiming to better capture real-
world contextual information as part of its research platform and showing how its data can
be included in real-world assessments of adherence with some success [17], among a number
of other use cases.
Table 2. How pharmaceutical companies can implement digital biomarkers and account for environmental
context
Barriers to
implementation
Considerations
1 Accuracy
thresholds and
validity
Establish guidelines for how novel digital biomarker technology should be
validated; for example, methodologies to compare objective measures to more
traditional self-report measures can help increase the uptake of new technologies
by researchers and clinicians
2 User adoption
and user
experience
Excessive and continuous tracking may negatively impact user experience and
result in lower engagement; prioritizing the patient experience by measuring
only what matters can help reduce the measurement burden
3 Technological
platforms
Consumer-facing technology (e.g., smartphones, direct to consumer wearables)
may be updated regularly, forcing revalidation studies; new hardware or use of
case-specific hardware can help ensure technology consistency over time
4 Regulatory
concerns
A more agile regulatory framework can support innovation while ensuring
safety; FDA’s Digital Health Program is a step in the right direction; however,
multiple stakeholders should participate
5 Privacy and
security
As person-generated health data continues to grow, the risk of data breaches
becomes more significant; alleviating privacy and security concerns by
establishing best practices, adhering to privacy guidelines, and ensuring patients
are well informed of the risks can help increase comfort of participation
6 Pharmaceutical
company
organization
Introducing novel technology and concepts (e.g., role of environment) into
routine business operations requires top-level senior executive support and clear
delineation of where such efforts live within the organization (commercial, R&D,
etc.); further, ensuring that innovation efforts are tied to clear business metrics
will help to better position internal efforts amongst staff
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© 2017 The Author(s). Published by S. Karger AG, BaselDOI: 10.1159/000479951
There are tangible benefits to better capturing contextual information in all of research,
but particularly in virtual research as less is known about the situational environment in
which the patient may physically be residing. For example, the answers to the following types
of questions can not only impact study findings in virtual research, but also the conclusions
drawn from assessing the real-world effectiveness of treatments.
•• Does time of day or light exposure at the time of filling out a PHQ-9 impact the score?
•• Does ambient sound or music therapy influence outcomes?
•• How does weather or room temperature affect cognitive status?
•• How does urban design impact physical activity levels?
•• Is food availability impacting disease outcomes?
Omada Health has created an evidence-based diabetes prevention program that has been
shown to result in weight loss and the lowering of diabetes risk [18]. The program focuses
not only on digital health tracking, but also includes access to a coach to help with various
lifestyle activities such as nutrition. Food more generally is being recognized as a “beyond the
pill” service by pharmaceutical companies, as Merck and Celgene begin to utilize Savor
Health’s cancer nutrition programs [19]. Sound and music therapy as a digital biomarker is
in development, with a potential impact on health measurement, but little evidence has
emerged thus far.
Limitations and Barriers to Implementation
Whilethereismuchpotentialinapplyingthesenoveltechnologiesandapproachesacross
the pharmaceutical value chain, there are several implementation challenges that must be
overcome.Suchchallengesarenotaltogethernew,aspublichealthresearchershaveaddressed
them in the past [20]; however, there is some nuance when being applied within a pharma-
ceutical industry context (Table 2).
Future
Accounting for Environment in Research and Care
Pharmaceutical companies will increasingly look to refine their use of digital biomarkers,
either through in-house efforts or in partnership with virtual research platforms. Such efforts
will be helped by greater ease of access to government-level data, such as the Environmental
Protection Agency, the National Weather Service, and even “noise maps” from the US Bureau
of Transportation Statistics [21]. In addition to accessing these types of data sources, new
environmental sensing hardware is being launched, such as pollution detecting sensors from
Plume Labs (Paris, France).
Treatment facilities are utilizing objective sensor data in a number of clinical settings,
such as rehabilitation, with some success [22]. Such models that impact outcomes are highly
relevant to pharmaceutical companies that may have a vested interest in those therapeutic
areas. In addition, there are now examples of sensors being used in the home environment as
part of cancer trials to enable a more real-time assessment of health status [23]. Further,
research from the University of California, San Diego, has demonstrated how individuals can
carry novel sensors to help quantify city-level environmental variables such as air quality,
revealing how exposure levels to particulate matter can vary more than previously thought
[24].
Modifying the Built Environment to Improve Health
It is well documented that our built environment and urban design impact our health
and physical activity [25], and areas like New York City have actively implemented urban
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design principles to promote health and well-being within the built environment [26]. As
such initiatives continue to be implemented, the pharmaceutical industry will be able to
leverage these frameworks to implement novel health and disease assessments outside the
model of traditional clinical trials. Frameworks around physical activity have been well
documented (Fig. 2).
Our increasing desire to incorporate context into our definition of health will give rise to
digital environmental markers and better elucidate their relationship to digital biomarkers.
In this future state, it will become possible to directly modify our built environment in concert
or as a result of the device technologies that individuals carry on a day-to-day basis. Physical
spaces transform into therapeutic environments where light, sound, pressure, temperature,
and other parameters are fine-tuned for optimal health achievement. For example, circadian
rhythms can be stabilized by circadian light measures, as is being studied at the Lighting
Research Center at the Rensselaer Polytechnic Institute [27].
Stakeholdersinvolvedinthebusinessofimprovingpatientoutcomeswilleithercompete
with new organizations creating “therapeutic environments” or play a key role in their im-
plementation. The pharmaceutical industry is already moving towards a services-oriented
model, and if trends continue, it will likely further extend towards a more experience-driven
model that involves helping to shape the environment as part of its overall offering.
The future will have to answer many questions: what is required in order to prescribe
therapeutic environments? Which diseases are more likely to benefit from environmental
modification? How is the built environment assessed and measured? These questions all
need to be addressed thoughtfully, but as health is reframed in the context of the envi-
ronment,thepharmaceuticalindustrywillsimilarlyneedtoreframeitsthinkingaboutwhich
stakeholders have a seat at the table. Such efforts will continue to include researchers and
technologists, but will likely also involve nontraditional stakeholders who are evaluating the
role of public health, social determinants of health, and other variables when measuring
overall health [28].
Personal
factors
Social/
organizational
factors
Physical
environmental
factors
Physical
activity
Spatial
scales
Urban design
Site selction and design
Building design
Building element design
Fig. 2. A social ecological model
of influences on physical activity
[25].
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8Digit Biomark
Rodarte: Digital Biomarkers and the Environment
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© 2017 The Author(s). Published by S. Karger AG, BaselDOI: 10.1159/000479951
Ethics Statement
The author has no ethical conflicts to disclose.
Conflict of Interest Statement
The author provided paid consulting for MonARC Bionetworks, Inc. in 2017.
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Pharmaceutical Perspective: How Digital Biomarkers and Contextual Data Will Enable Therapeutic Environments (August 2017)

  • 1. © 2017 The Author(s) Published by S. Karger AG, Basel Viewpoint – Review Digit Biomark Pharmaceutical Perspective: How Digital Biomarkers and Contextual Data Will Enable Therapeutic Environments Carlos Rodarte Volar Health, LLC, Cambridge, MA, USA Keywords Digital biomarkers · Digital health · Built environment Abstract Digital biomarkers are helping to reshape the understanding of health and disease, which will have an impact in how an individual’s relationship to the environment is assessed, how re- search is conducted, and how treatment effectiveness is determined. In particular, this article highlights key activities by the pharmaceutical industry as they explore the utility and rele- vance of digital biomarkers across the value chain. Lastly, this paper will discuss how digital biomarkers, in conjunction with digital environmental markers, will pave the way for the cre- ation of healthy spaces that more directly improve patient outcomes. © 2017 The Author(s) Published by S. Karger AG, Basel Introduction Sensor technology has broad applications in research and healthcare with devices built to monitor blood pressure, skin conductance, mobility, posture, oxygen levels, respiration, sleep, temperature, heart rate, and more [1]. Particularly, many of these devices are being used by the pharmaceutical industry and, as a result, have increased their confidence in the value of digital biomarkers [2] (Table 1). The utilization of such devices will only increase as market forecasts expect the remote monitoring and sensor-based markets to grow rapidly. Such added levels of connectivity will enable a better understanding of human behavior, digital biomarkers, and the role of physical environment. This additional environmental quantification will bring with it additional ter- minology from disciplines such as public health, about which pharmaceutical companies are not accustomed to routinely thinking (Fig. 1). Received: April 18, 2017 Accepted: August 2, 2017 Published online: August 17, 2017 Carlos Rodarte Volar Health, LLC 45 Prospect Street Cambridge, MA 02139 (USA) E-Mail carlos@volarhealth.com www.karger.com/dib ThisarticleislicensedundertheCreativeCommonsAttribution-NonCommercial-NoDerivatives4.0Interna- tional License (CC BY-NC-ND) (http://www.karger.com/Services/OpenAccessLicense). Usage and distribu- tion for commercial purposes as well as any distribution of modified material requires written permission. DOI: 10.1159/000479951 Downloadedby: 96.70.233.197-8/18/20179:30:03PM
  • 2. 2Digit Biomark Rodarte: Digital Biomarkers and the Environment www.karger.com/dib © 2017 The Author(s). Published by S. Karger AG, BaselDOI: 10.1159/000479951 Once sensor implementation challenges – accuracy, privacy, and data integration to name a few – are overcome, a growing body of evidence will highlight the many ways continuous measurement of physiology via biosensors can play a role in managing health and improving access to care [3]. We already see how technology use, via social media, leaves a digital trace, a reflection, of how an individual may be feeling or subtly changing over time, as with sleep or insomnia [4]. Other research shows how such traces correspond to real-world mobility patterns and reflect urban land use [5]. Care delivery has improved as a result of the new and novel data emerging from digital biomarkers, which have enhanced our knowledge of disease progression and helped to identify patient subtypes [6], but overall progress has been minimal to date. Less explored is the context or environment surrounding the capture of digital biomarkers, which can help to strengthen their signal but also provide a glimpse into the everyday life of patient expe- rience. This discussion will hone in on the particular set of opportunities and incentives that exist in the pharmaceutical industry for digital biomarker research to understand new forms Table 1. Examples of commercial and R&D sensors for tracking vital signs and behavior [2] Vital sign or behavior Wearable location (form factor) Environment location Blood pressure Arm (cuff) Wrist (watch) Chest (clothing) Bed Chair ECG Chest (phone case, clothing, necklace) Waist (belt) Bed Chair Heart rate Finger (ring) Ear (headset, earlobe clip) Chest (phone case) Nose bridge (glasses) Forehead (hat) Bed Chair Camera (face, mirror) Pulse oximetry Finger (ring, glove) Forehead (mounted sensor) Blood glucose Waist (device) Eye (contact lens) EEG Head (headset) Breathing Chest (device, vest) Camera (face) Sleep Wrist (watch) Ankle (watch) Head (headset) Chest (device) Bed, mattress Bedside Camera Body temperature Wrist (watch) Forehead (patch) Camera Motion Wrist (watch) Ankle (watch) Foot (shoe) Leg (stocking) Waist (belt) Chest (necklace) Camera Downloadedby: 96.70.233.197-8/18/20179:30:03PM
  • 3. 3Digit Biomark Rodarte: Digital Biomarkers and the Environment www.karger.com/dib © 2017 The Author(s). Published by S. Karger AG, BaselDOI: 10.1159/000479951 of data, improve research, and measure real-world effectiveness of medications. Additionally, this paper will explore how digital biomarkers can serve as a catalyst for directly modifying the environment to improve health and well-being. Discussion The Pharmaceutical Business Model Is Evolving The pharmaceutical industry is undergoing a business model transformation that is expanding its focus from a product-based company into a more services-oriented model [7]. Competitive forces and the desire to differentiate in the market are primary reasons why service models are being employed. To name a few examples, Verily and Sanofi partnered to create Onduo, a diabetes-based disease management program, while Teva Pharmaceuticals and Roche have taken a more acquisition-based strategy – Teva Pharmaceuticals acquiring Gecko Health Innovations for improved medication adherence and Roche Pharmaceuticals acquiring mySugr to further strengthen its service offering in diabetes. The hope is that in developing solutions that enhance the patient experience, the combi- nation of drug therapy plus digital health services will improve patient outcomes but also furtherdifferentiatethetotaloffering.Regulatorybodies,suchastheFDA,havebeenproviding further clarity on new forms of evidence requirements through the 21st Century Cures Act and more recently the creation of their Digital Health Program, as part of the Center for Devices and Radiological Health (CDRH) [8]. These initiatives further enable a more rapid transition by pharma towards new business model exploration. From a research perspective, the pharmaceutical industry is incentivized to understand and utilize new forms of data and methods to improve its clinical trials. However, when it comes to incorporating novel forms of data that might provide a context to treatments in a study setting, pharmaceutical companies find themselves in a conundrum – include explor- atory components and risk a more complex trial, or keep a trial streamlined but potentially miss novel insights by purposely excluding novel data sources or devices. The interplay of these factors has been well documented [9]. From a commercial perspective, pharmaceutical companies face increasing pressure from payers to justify the value of their therapies based on how they perform in the real world. Such real-world evidence represents a way to ensure that medicines are actually bene- Normalized difference Vegetation index Phototrophic Green buildings Exposome Confounding variables Biophilia Walkability Interior design Epidemiology Sick building syndrome Light Sustainability Healthy spaces Context Ecology Physical environment Weather Sound pollution Building-omics Built environment Social determinants Particulate matter Epigenetics Pollution Global warming Fig. 1. Digital biomarker contextual map. Downloadedby: 96.70.233.197-8/18/20179:30:03PM
  • 4. 4Digit Biomark Rodarte: Digital Biomarkers and the Environment www.karger.com/dib © 2017 The Author(s). Published by S. Karger AG, BaselDOI: 10.1159/000479951 fitting patients, and pharmaceutical companies are paying attention. A recent survey of 15 life sciences companies shows how real-world evidence is a priority, with over 50% of respon- dents said to be investing in their real-world evidence programs in order to enhance their capability [10]. How Pharmaceutical Companies Are Involved with Digital Biomarkers In some diseases, digital biomarkers can improve our understanding of the natural history of disease through more continuous measurement of objective health data [11]. Such an approach enhances the often limited clinical encounters patients have with their clinicians, which is particularly relevant in diseases where symptom presence and severity is more variablethaninitiallyexpected,orindiseasesthataligntomeasurescapturedthroughcurrent devices, such as mobility in neurodegenerative conditions [12]. Pharmaceutical companies are exploring pilot studies and strategic initiatives across a number of different therapeutic areas, with a range of partners and devices. In some cases pilot studies are meant to test the feasibility of a research process involving wearables, whereas in others the focus is to embark on large, multi-year studies to help shape our knowledge of disease progression through various means, including digital biomarkers. A representative list of examples is shown below: •• Respiratory Conditions. Through its sensor-outfitted inhalers, Propeller Health is able to identify environmental triggers for patients with asthma, chronic obstructive pulmonary disorder, and other respiratory conditions [13]. These efforts have resulted in Asthma Hotspot maps across the US including Louisville, KY. Propeller Health has partnered with numerous health systems and pharmaceutical companies, including GlaxoSmithKline, Boehringer Ingelheim, and AstraZeneca. Boehringer Ingelheim has also partnered with PatientsLikeMe in idiopathic pulmonary fibrosis to test consumer wearables in the real world [14]. •• Neurodegenerative Conditions. Symptom presence and severity in conditions like Par- kinson disease, multiple sclerosis, and Alzheimer disease are benefitting from digital biomarker efforts. Roche built a Parkinson disease app to capture voice-related in- formation, Biogen partnered with PatientsLikeMe to understand physical activity measurement in patients with multiple sclerosis, and Neurotrack measured cognitive ability remotely to assess cognition in patients with Alzheimer disease. Formal study results are not available for all, but Parkinson disease results utilizing voice have shown promise in prior efforts [12]. •• Cardiovascular Disease. Recent efforts to expand our understanding of cardiovascular disease beyond the Framingham Heart Study have started, notably a research grant of USD 75 million for Dr. Calum MacRae from Brigham and Women’s Hospital, spearheaded by Verily Life Sciences (Mountain View, CA, USA), AstraZeneca (Cambridge, UK), and the American Heart Association. In part, the study aims to identify the factors that contribute to disease onset and outcomes along the entire patient journey, in a manner that accounts for various data sources including objective sensor information and environmental data. •• Diabetes. Diabetes continues to be an area of much innovation for digital therapeutics, in many cases in partnership with pharmaceuetical companies. Omada Health (San Francisco, CA, USA) is a pioneer in bringing evidence-based digital therapeutics to the area of pre-diabetes/diabetes where behavior change approaches leverage coaching plus a host of tools enabling objective data capture. More recently, Merck & Co. and Amazon’s Alexa are exploring the creation of diabetes tools, and Sanofi and Verily recently announced Onduo – with funding of USD 500 million dollars to build a next- generation diabetes platform that captures a range of data types and can be applied from research to care. Downloadedby: 96.70.233.197-8/18/20179:30:03PM
  • 5. 5Digit Biomark Rodarte: Digital Biomarkers and the Environment www.karger.com/dib © 2017 The Author(s). Published by S. Karger AG, BaselDOI: 10.1159/000479951 Virtual Research and Real-World Evidence Benefit from Contextual Data As digital biomarkers, environmental context, and our need to better quantify disease merge, companies that enable studies to be done remotely without the need of a physical clinical site are proving to be a test bed for pharmaceutical innovation. These virtual research platforms, such as Science37 (Los Angeles, CA, USA), MonARC Bionetworks, Inc. (Palo Alto, CA, USA), Koneksa Health (New York City, NY, USA), Evidation Health (San Mateo, CA, USA), THREAD Research (Tustin, CA, USA), and Medidata Solutions (New York City, NY, USA), all work with pharmaceutical companies in some capacity to help spearhead goals of leveraging novel technology in research studies. The pharmaceutical industry has come a long way since Pfizer’s Overactive Bladder virtual study leveraging “electronic health tools” [15] and the use purely electronic patient- reported outcomes (ePROs). Much more is known about how to recruit patients in clinical trials, and more recently, the term electronic device-reported outcomes (eDROs) has been introduced. eDROs aim to blend objective data from sensor-driven device technologies alongside patient self-report [16]. Environmental or contextual data is not routinely captured alongside ePROs and eDROs. Evidation Health, however, is aiming to better capture real- world contextual information as part of its research platform and showing how its data can be included in real-world assessments of adherence with some success [17], among a number of other use cases. Table 2. How pharmaceutical companies can implement digital biomarkers and account for environmental context Barriers to implementation Considerations 1 Accuracy thresholds and validity Establish guidelines for how novel digital biomarker technology should be validated; for example, methodologies to compare objective measures to more traditional self-report measures can help increase the uptake of new technologies by researchers and clinicians 2 User adoption and user experience Excessive and continuous tracking may negatively impact user experience and result in lower engagement; prioritizing the patient experience by measuring only what matters can help reduce the measurement burden 3 Technological platforms Consumer-facing technology (e.g., smartphones, direct to consumer wearables) may be updated regularly, forcing revalidation studies; new hardware or use of case-specific hardware can help ensure technology consistency over time 4 Regulatory concerns A more agile regulatory framework can support innovation while ensuring safety; FDA’s Digital Health Program is a step in the right direction; however, multiple stakeholders should participate 5 Privacy and security As person-generated health data continues to grow, the risk of data breaches becomes more significant; alleviating privacy and security concerns by establishing best practices, adhering to privacy guidelines, and ensuring patients are well informed of the risks can help increase comfort of participation 6 Pharmaceutical company organization Introducing novel technology and concepts (e.g., role of environment) into routine business operations requires top-level senior executive support and clear delineation of where such efforts live within the organization (commercial, R&D, etc.); further, ensuring that innovation efforts are tied to clear business metrics will help to better position internal efforts amongst staff Downloadedby: 96.70.233.197-8/18/20179:30:03PM
  • 6. 6Digit Biomark Rodarte: Digital Biomarkers and the Environment www.karger.com/dib © 2017 The Author(s). Published by S. Karger AG, BaselDOI: 10.1159/000479951 There are tangible benefits to better capturing contextual information in all of research, but particularly in virtual research as less is known about the situational environment in which the patient may physically be residing. For example, the answers to the following types of questions can not only impact study findings in virtual research, but also the conclusions drawn from assessing the real-world effectiveness of treatments. •• Does time of day or light exposure at the time of filling out a PHQ-9 impact the score? •• Does ambient sound or music therapy influence outcomes? •• How does weather or room temperature affect cognitive status? •• How does urban design impact physical activity levels? •• Is food availability impacting disease outcomes? Omada Health has created an evidence-based diabetes prevention program that has been shown to result in weight loss and the lowering of diabetes risk [18]. The program focuses not only on digital health tracking, but also includes access to a coach to help with various lifestyle activities such as nutrition. Food more generally is being recognized as a “beyond the pill” service by pharmaceutical companies, as Merck and Celgene begin to utilize Savor Health’s cancer nutrition programs [19]. Sound and music therapy as a digital biomarker is in development, with a potential impact on health measurement, but little evidence has emerged thus far. Limitations and Barriers to Implementation Whilethereismuchpotentialinapplyingthesenoveltechnologiesandapproachesacross the pharmaceutical value chain, there are several implementation challenges that must be overcome.Suchchallengesarenotaltogethernew,aspublichealthresearchershaveaddressed them in the past [20]; however, there is some nuance when being applied within a pharma- ceutical industry context (Table 2). Future Accounting for Environment in Research and Care Pharmaceutical companies will increasingly look to refine their use of digital biomarkers, either through in-house efforts or in partnership with virtual research platforms. Such efforts will be helped by greater ease of access to government-level data, such as the Environmental Protection Agency, the National Weather Service, and even “noise maps” from the US Bureau of Transportation Statistics [21]. In addition to accessing these types of data sources, new environmental sensing hardware is being launched, such as pollution detecting sensors from Plume Labs (Paris, France). Treatment facilities are utilizing objective sensor data in a number of clinical settings, such as rehabilitation, with some success [22]. Such models that impact outcomes are highly relevant to pharmaceutical companies that may have a vested interest in those therapeutic areas. In addition, there are now examples of sensors being used in the home environment as part of cancer trials to enable a more real-time assessment of health status [23]. Further, research from the University of California, San Diego, has demonstrated how individuals can carry novel sensors to help quantify city-level environmental variables such as air quality, revealing how exposure levels to particulate matter can vary more than previously thought [24]. Modifying the Built Environment to Improve Health It is well documented that our built environment and urban design impact our health and physical activity [25], and areas like New York City have actively implemented urban Downloadedby: 96.70.233.197-8/18/20179:30:03PM
  • 7. 7Digit Biomark Rodarte: Digital Biomarkers and the Environment www.karger.com/dib © 2017 The Author(s). Published by S. Karger AG, BaselDOI: 10.1159/000479951 design principles to promote health and well-being within the built environment [26]. As such initiatives continue to be implemented, the pharmaceutical industry will be able to leverage these frameworks to implement novel health and disease assessments outside the model of traditional clinical trials. Frameworks around physical activity have been well documented (Fig. 2). Our increasing desire to incorporate context into our definition of health will give rise to digital environmental markers and better elucidate their relationship to digital biomarkers. In this future state, it will become possible to directly modify our built environment in concert or as a result of the device technologies that individuals carry on a day-to-day basis. Physical spaces transform into therapeutic environments where light, sound, pressure, temperature, and other parameters are fine-tuned for optimal health achievement. For example, circadian rhythms can be stabilized by circadian light measures, as is being studied at the Lighting Research Center at the Rensselaer Polytechnic Institute [27]. Stakeholdersinvolvedinthebusinessofimprovingpatientoutcomeswilleithercompete with new organizations creating “therapeutic environments” or play a key role in their im- plementation. The pharmaceutical industry is already moving towards a services-oriented model, and if trends continue, it will likely further extend towards a more experience-driven model that involves helping to shape the environment as part of its overall offering. The future will have to answer many questions: what is required in order to prescribe therapeutic environments? Which diseases are more likely to benefit from environmental modification? How is the built environment assessed and measured? These questions all need to be addressed thoughtfully, but as health is reframed in the context of the envi- ronment,thepharmaceuticalindustrywillsimilarlyneedtoreframeitsthinkingaboutwhich stakeholders have a seat at the table. Such efforts will continue to include researchers and technologists, but will likely also involve nontraditional stakeholders who are evaluating the role of public health, social determinants of health, and other variables when measuring overall health [28]. Personal factors Social/ organizational factors Physical environmental factors Physical activity Spatial scales Urban design Site selction and design Building design Building element design Fig. 2. A social ecological model of influences on physical activity [25]. Downloadedby: 96.70.233.197-8/18/20179:30:03PM
  • 8. 8Digit Biomark Rodarte: Digital Biomarkers and the Environment www.karger.com/dib © 2017 The Author(s). Published by S. Karger AG, BaselDOI: 10.1159/000479951 Ethics Statement The author has no ethical conflicts to disclose. Conflict of Interest Statement The author provided paid consulting for MonARC Bionetworks, Inc. in 2017. References  1 Li X, Dunn J, Salins D, Zhou G, Zhou W, Schüssler-Fiorenza Rose SM, et al: Digital health: tracking physiomes andactivityusingwearablebiosensorsrevealsusefulhealth-relatedinformation.PLoSBiol2017;15:e2001402.  2 Hird N, Ghosh S, Kitano H: Digital health revolution: perfect storm or perfect opportunity for pharmaceutical R&D? Drug Discov Today 2016;21:900–911.  3 Chiauzzi E, Rodarte C, Dasmahapatra P: Patient-centered activity monitoring in the self-management of chronic health conditions. BMC Med 2015;13:77.  4 Jain SH, Powers BW, Hawkins JB, Brownstein JS: The digital phenotype. Nat Biotechnol 2015;33:462–463.  5 Soliman A, Soltani K, Yin J, Padmanabhan A, Wang S: Social sensing of urban land use based on analysis of Twitter users’ mobility patterns. PLos One 2017;12:e0181657.  6 Quisel T, Lee W-N, Foschini L: Observation time vs. performance in digital phenotyping. Proceedings of the 1st WorkshoponDigitalBiomarkers–DigitalBiomarkers17.DigitBiomark2017,DOI10.1145/3089341.3089347.  7 Nairain S; Ernst & Young LLP: Life Sciences 2025 – Managing Disruptions to Gain Competitive Advantage. 2017. http://www.ey.com/gl/en/industries/life-sciences/ey-vital-signs-managing-disruptions-to-gain-com- petitive-advantage (accessed April 5, 2017).  8 Gottlieb S: FDA Announces New Steps to Empower Consumers and Advance Digital Healthcare. 2017. https:// blogs.fda.gov/fdavoice/index.php/2017/07/fda-announces-new-steps-to-empower-consumers-and- advance-digital-healthcare/ (accessed July 29, 2017).  9 Rosenblatt M: The large pharmaceutical company perspective. N Engl J Med 2017;376:52–60. 10 Getting Real with Real-World Evidence (RWE). 2017. https://www2.deloitte.com/us/en/pages/life-sciences- and-health-care/articles/real-world-evidence-benchmarking-survey.html (accessed April 2, 2017). 11 McIninch J, Datta S, DasMahapatra P, Chiauzzi E, Bhalerao R, Spector A, et al: Remote Tracking of Walking ActivityinMSPatientsinaReal-WorldSetting.2015.http://www.neurology.org/content/84/14_Supplement/ P3.209. 12 Kubota KJ, Chen JA, Little MA: Machine learning for large-scale wearable sensor data in Parkinson’s disease: concepts, promises, pitfalls, and futures. Mov Disord 2016;31:1314–1326. 13 Merchant RK, Inamdar R, Quade RC: Effectiveness of population health management using the propeller health asthma platform: a randomized clinical trial. J Allergy Clin Immunol Pract 2016;4:455–463. 14 Blaser D, Bhalerao R, Brooks L: Piloting the Use of Consumer Wearable Devices in Idiopathic Pulmonary Fibrosis (IPF). 2015. https://medicinex.stanford.edu/conf/submission/view/520 (accessed June 22, 2017). 15 Orri M, Lipset CH, Jacobs BP, Costello AJ, Cummings SR: Web-based trial to evaluate the efficacy and safety of tolterodine ER 4mg in participants with overactive bladder: REMOTE trial. Contemp Clin Trials 2014;38:190– 197. 16 Alsumidaie M: An mHealth Perspective on Patient Centricity. 2017. http://www.appliedclinicaltrialsonline. com/mhealth-perspective-patient-centricity (accessed April 6, 2017). 17 Juusola J, Foschini L, Quisel T: Health Activity Tracking Is Associated with Higher Medication Adherence. SMDM 2015 – 37th Annual Meeting of the Society for Medical Decision Making 2015. 2015. https://smdm. confex.com/smdm/2015mo/webprogram/Paper9247.html (accessed July 28, 2017). 18 Sepah SC, Jiang L, Peters AL: Long-term outcomes of a web-based diabetes prevention program: 2-year results of a single-arm longitudinal study. J Med Internet Res 2015;17:e92. 19 Bulik BS: Merck, Celgene Go beyond the Pill with Savor’s Cancer Nutrition Programs. 2017. http://www.fier- cepharma.com/marketing/celgene-merck-go-beyond-pill-nutrition-programs-for-cancer-patients-thanks- to-savor (accessed July 28, 2017). 20 Chunara R, Wisk LE, Weitzman ER: Denominator issues for personally generated data in population health monitoring. Am J Prev Med 2017;52:549–553. 21 DwyerC:HowNoisyIsYourNeighborhood?NowThere’saMapforThat.2017.http://www.npr.org/sections/ thetwo-way/2017/03/23/521227214/how-noisy-is-your-neighborhood-now-theres-a-map-for-that (accessed April 6, 2017). 22 Wang Q, Markopoulos P, Yu B, Chen W, Timmermans A: Interactive wearable systems for upper body reha- bilitation: a systematic review. J Neuroeng Rehabil 2017;14:20. Downloadedby: 96.70.233.197-8/18/20179:30:03PM
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