Biology:Digital phenotyping

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Short description: Multidisciplinary field of science

Digital phenotyping is a multidisciplinary field of science,[1][2][3] first defined in a May 2016 paper in JMIR Mental Health authored by John Torous, Mathew V Kiang, Jeanette Lorme, and Jukka-Pekka Onnela as the "moment-by-moment quantification of the individual-level human phenotype in situ using data from personal digital devices."[2] The data can be divided into two subgroups, called active data and passive data, where the former refers to data that requires active input from the users to be generated, whereas passive data, such as sensor data and phone usage patterns, are collected without requiring any active participation from the user.

Smartphones are well suited for digital phenotyping given their widespread adoption and ownership, the extent to which users engage with the devices, and richness of data that may be collected from them. Smartphone data can be used to study behavioral patterns, social interactions, physical mobility, gross motor activity, and speech production, among others. Smartphone ownership has been in steady rise globally over the past few years. For example, in the U.S., smartphone ownership among adults increased from 35% in 2011 to 64% in 2015,[4] and in 2017 an estimated 95% of Americans own a cellphone of some kind and 77% own a smartphone.[5]

The use of passive data collection from smartphone devices can provide granular information relevant to psychiatric, aging, frailty,[6] and other illness phenotypes.[7] Types of relevant passive data include GPS data to monitor spatial location, accelerometer data to record movement and gross motor activity, and call and messaging logs to document social engagement with others.[8] Passively collected data may also support clinical differentiation between diagnostic groups [9] and monitoring mental health symptoms. [10] [11]

The related term 'digital phenotype,' was introduced in Nature Biotechnology by Sachin H. Jain and John Brownstein in 2015.[12]

Research Platforms and Commercialization

One of the first implementations of digital phenotyping on smart phones was the Funf Open Sensing Framework, developed at the MIT Media Lab and launched on October 5, 2011.[13] Members of the Funf team interested in profiling and predicting human behavior formed a commercial venture called Behavio in 2012.[14] In April 2013, it was announced that the Behavio team had joined Google.[15] The Funf platform has inspired other mobile phone sensor logging platforms for psychology and behavior applications, such as the Purple Robot platform, developed by the CBITS (Center for Behavioral Intervention Technologies) at Northwestern University in 2012,[16] which has since expanded and remains an active GITHUB project.

Among the academic research community, there are now many digital phenotyping platforms. Popular open-source digital phenotyping platforms include Beiwe which was developed in the Onnela lab at Harvard School of Public Health in 2013.[17] Others include AWARE, EARS,[18] mindLAMP,[19] RADAR-CNS among others and there is currently no metric to determine which is most popular.

In terms of commercialization, in 2017, former head of the National Institutes of Mental Health, Tom Insel, joined Rick Klausner and Paul Dagum to form the founding team of MindStrong Health, which uses digital phenotyping methods combined with machine learning to develop new paradigms for mental health assessment and development of new digital biomarkers for mental health.[20] As of 2021 the company's website does not mention digital phenotyping.

See also

  • John Brownstein
  • Scott L. Rauch
  • Jukka-Pekka Onnela
  • Sachin H. Jain
  • Mobile phone based sensing software

Further reading

JMIR e-collection Digital Biomarkers and Digital Phenotyping

References

  1. ↑ Onnela, Jukka-Pekka; Rauch, Scott L. (June 2016). "Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health" (in en). Neuropsychopharmacology 41 (7): 1691–1696. doi:10.1038/npp.2016.7. ISSN 0893-133X. PMID 26818126. 
  2. ↑ 2.0 2.1 Torous, John; Kiang, Mathew V; Lorme, Jeanette; Onnela, Jukka-Pekka (2016-05-05). "New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research". JMIR Mental Health 3 (2): e16. doi:10.2196/mental.5165. ISSN 2368-7959. PMID 27150677. 
  3. ↑ Brown, Karen (2016-07-19). "Your phone knows how you feel" (in en-us). https://www.hsph.harvard.edu/magazine/magazine_article/your-phone-knows-how-you-feel/. 
  4. ↑ Smith, Aaron (2015-04-01). "U.S. Smartphone Use in 2015". http://www.pewinternet.org/2015/04/01/us-smartphone-use-in-2015/. 
  5. ↑ "Mobile Fact Sheet" (in en-US). Pew Research Center: Internet, Science & Tech. 2017-01-12. http://www.pewinternet.org/fact-sheet/mobile/. 
  6. ↑ Pyrkov, Timothy V.; Getmantsev, Evgeny; Zhurov, Boris; Avchaciov, Konstantin; Pyatnitskiy, Mikhail; Menshikov, Leonid; Khodova, Kristina; Gudkov, Andrei V. et al. (2018-10-26). "Quantitative characterization of biological age and frailty based on locomotor activity records" (in en). Aging 10 (10): 2973–2990. doi:10.18632/aging.101603. ISSN 1945-4589. PMID 30362959. 
  7. ↑ Gillett, George (2020). "A day in the life of a psychiatrist in 2050: where will the algorithm take us?" (in en). BJPsych Bulletin 44 (3): 121–123. doi:10.1192/bjb.2020.22. PMID 33861188. 
  8. ↑ Torous, John; Staples, Patrick; Onnela, Jukka-Pekka (2015-08-01). "Realizing the Potential of Mobile Mental Health: New Methods for New Data in Psychiatry" (in en). Current Psychiatry Reports 17 (8): 61. doi:10.1007/s11920-015-0602-0. ISSN 1523-3812. PMID 26073363. 
  9. ↑ Gillett, George; McGowan, Niall; Palmius, Niclas; Bilderbeck, Amy; Goodwin, Guy; Saunders, Kate (2021). "Digital Communication Biomarkers of Mood and Diagnosis in Borderline Personality Disorder, Bipolar Disorder, and Healthy Control Populations". Frontiers in Psychiatry 12 (610457): 610457. doi:10.3389/fpsyt.2021.610457. ISSN 1664-0640. PMID 33897487. 
  10. ↑ Braund, Taylor A.; Zin, May The; Boonstra, Tjeerd W.; Wong, Quincy J. J.; Larsen, Mark E.; Christensen, Helen; Tillman, Gabriel; O’Dea, Bridianne (2022-05-04). "Smartphone Sensor Data for Identifying and Monitoring Symptoms of Mood Disorders: A Longitudinal Observational Study" (in EN). JMIR Mental Health 9 (5): e35549. doi:10.2196/35549. PMID 35507385. 
  11. ↑ Braund, Taylor A.; O’Dea, Bridianne; Bal, Debopriyo; Maston, Kate; Larsen, Mark E.; Werner-Seidler, Aliza; Tillman, Gabriel; Christensen, Helen (2023-05-15). "Associations Between Smartphone Keystroke Metadata and Mental Health Symptoms in Adolescents: Findings From the Future Proofing Study" (in EN). JMIR Mental Health 10: e44986. doi:10.2196/44986. PMID 37184904. 
  12. ↑ Jain, Sachin H; Powers, Brian W; Hawkins, Jared B; Brownstein, John S (2015). "The digital phenotype". Nature Biotechnology 33 (5): 462–463. doi:10.1038/nbt.3223. ISSN 1087-0156. PMID 25965751. 
  13. ↑ "Funf Blog". http://funf-blog.blogspot.com/2011/. 
  14. ↑ "Knight Foundation Bets Mobile Sensor Startup, Behav.io, Is The Future of Journalism" (in en-US). 18 June 2012. https://social.techcrunch.com/2012/06/18/knight-foundation-bets-mobile-sensor-startup-behav-io-is-the-future-of-journalism/. 
  15. ↑ D'Orazio, Dante (2013-04-12). "Google gains team behind Behavio, a startup that uses smartphone data to make predictions" (in en). https://www.theverge.com/2013/4/12/4217618/google-purchases-behavio-a-startup-that-makes-predictions-based-on-smartphone-data. 
  16. ↑ "Your smartphone knows when you're depressed" (in en-US). 2015-07-16. https://www.dailydot.com/irl/purple-robot-depression-app-study/. 
  17. ↑ Boston, 677 Huntington Avenue; Ma 02115 +1495‑1000 (2017-07-21). "Digital Phenotyping and Beiwe Research Platform" (in en-us). https://www.hsph.harvard.edu/onnela-lab/beiwe-research-platform/. 
  18. ↑ Lind, Monika N.; Byrne, Michelle L.; Wicks, Geordie; Smidt, Alec M.; Allen, Nicholas B. (July 2018). "The Effortless Assessment of Risk States (EARS) Tool: An Interpersonal Approach to Mobile Sensing" (in en). JMIR Mental Health 5 (3): e10334. doi:10.2196/10334. PMID 30154072. 
  19. ↑ Torous, John; Wisniewski, Hannah; Bird, Bruce; Carpenter, Elizabeth; David, Gary; Elejalde, Eduardo; Fulford, Dan; Guimond, Synthia et al. (2019-06-01). "Creating a Digital Health Smartphone App and Digital Phenotyping Platform for Mental Health and Diverse Healthcare Needs: an Interdisciplinary and Collaborative Approach" (in en). Journal of Technology in Behavioral Science 4 (2): 73–85. doi:10.1007/s41347-019-00095-w. ISSN 2366-5963. 
  20. ↑ "Former Director of the National Institute of Mental Health, Dr. Thomas Insel, Joins Mindstrong Health as President and Co-Founder" (in en-US). 2017-05-11. https://mindstrong.com/press-releases/former-director-national-institute-mental-health-dr-thomas-insel-joins-mindstrong-health/. 



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