Deep digital phenotyping for Precision Health

2021 ◽  
Author(s):  
Guy Fagherazzi, PhD
Keyword(s):  
Digital Phenotyping ◽  
Precision Health

scholarly journals Deep Digital Phenotyping and Digital Twins for Precision Health: Time to Dig Deeper (Preprint)

2019 ◽  
Author(s):  
Guy Fagherazzi
Keyword(s):  
Disease Management ◽  
Real World ◽  
Large Scale ◽  
Digital Data ◽  
Health It ◽  
Patient Centered ◽  
Digital Phenotyping ◽  
Digital Twins ◽  
Centered Care ◽  
Precision Health

UNSTRUCTURED This viewpoint describes the urgent need for more large-scale, deep digital phenotyping to advance toward precision health. It describes why and how to combine real-world digital data with clinical data and omics features to identify someone’s digital twin, and how to finally enter the era of patient-centered care and modify the way we view disease management and prevention.

scholarly journals Deep Digital Phenotyping and Digital Twins for Precision Health: Time to Dig Deeper

10.2196/16770 ◽  
2020 ◽  
Vol 22 (3) ◽  
pp. e16770 ◽  
Author(s):  
Guy Fagherazzi
Keyword(s):  
Disease Management ◽  
Real World ◽  
Large Scale ◽  
Digital Data ◽  
Health It ◽  
Patient Centered ◽  
Digital Phenotyping ◽  
Digital Twins ◽  
Centered Care ◽  
Precision Health

This viewpoint describes the urgent need for more large-scale, deep digital phenotyping to advance toward precision health. It describes why and how to combine real-world digital data with clinical data and omics features to identify someone’s digital twin, and how to finally enter the era of patient-centered care and modify the way we view disease management and prevention.

Smartphone sensing of social interactions in people with and without schizophrenia

2020 ◽  
Author(s):  
Daniel Fulford ◽  
Jasmine Mote ◽  
Rachel Gonzalez ◽  
Samuel Abplanalp ◽  
Yuting Zhang ◽  
...  
Keyword(s):  
Social Behavior ◽  
Social Functioning ◽  
Social Activity ◽  
Network Size ◽  
Social Impairment ◽  
Schizophrenia Spectrum Disorders ◽  
Social Network Size ◽  
Digital Phenotyping ◽  
Ecological Momentary

Social impairment is a cardinal feature of schizophrenia spectrum disorders (SZ). Smaller social network size, diminished social skills, and loneliness are highly prevalent. Existing, gold-standard assessments of social impairment in SZ often rely on self-reported information that depends on retrospective recall and detailed accounts of complex social behaviors. This is particularly problematic in people with SZ given characteristic cognitive impairments and reduced insight. Ecological Momentary Assessment (EMA; repeated self-reports completed in the context of daily life) allows for the measurement of social behavior as it occurs in vivo, yet still relies on participant input. Momentary characterization of behavior using smartphone sensors (e.g., GPS, microphone) may also provide ecologically valid indicators of social functioning. In the current study we tested associations between both active (e.g., EMA-reported number of interactions) and passive (GPS-based mobility, conversations captured by microphone) smartphone-based measures of social activity and measures of social functioning and loneliness to examine the promise of such measures for understanding social impairment in SZ. Our results indicate that passive markers of mobility were more consistently associated with EMA measures of social behavior in controls than in people with SZ. Furthermore, dispositional loneliness showed associations with mobility metrics in both groups, while general social functioning was less related to these metrics. Finally, interactions detected in the ambient audio were more tied to social functioning in SZ than in controls. Findings speak to the promise of smartphone-based digital phenotyping as an approach to understanding objective markers of social activity in people with and without schizophrenia.

Biologicals in allergic diseases and asthma: Toward personalized medicine and precision health: Highlights of the 3rd EAACI Master Class on Biologicals, San Lorenzo de El Escorial, Madrid, 2019

Allergy ◽  
2019 ◽  
Vol 75 (4) ◽  
pp. 936-940 ◽  
Author(s):  
Oscar Palomares ◽  
Eva Untersmayr ◽  
Jan Gutermuth ◽  
Ioana Agache ◽  
Sofia Ajeganova ◽  
...  
Keyword(s):  
Personalized Medicine ◽  
Allergic Diseases ◽  
San Lorenzo ◽  
Precision Health

Technology assessment framework for precision health applications

2021 ◽  
Vol 37 (1) ◽  
Author(s):  
M. Sazzad Hussain ◽  
David Silvera-Tawil ◽  
Geremy Farr-Wharton
Keyword(s):  
Emerging Technologies ◽  
Mobile Apps ◽  
Scientific Evidence ◽  
Wearable Sensors ◽  
Assessment Process ◽  
Assessment Framework ◽  
Response Options ◽  
Regulatory Standards ◽  
Precision Health ◽  
Health Applications

Abstract Objective Established and emerging technologies—such as wearable sensors, smartphones, mobile apps, and artificial intelligence—are shaping positive healthcare models and patient outcomes. These technologies have the potential to become precision health (PH) innovations. However, not all innovations meet regulatory standards or have the required scientific evidence to be used for health applications. In response, an assessment framework was developed to facilitate and standardize the assessment of innovations deemed suitable for PH. Methods A scoping literature review undertaken through PubMed and Google Scholar identified approximately 100 relevant articles. These were then shortlisted (n = 12) to those that included specific metrics, criteria, or frameworks for assessing technologies that could be applied to the PH context. Results The proposed framework identified nine core criteria with subcriteria and grouped them into four categories for assessment: technical, clinical, human factors, and implementation. Guiding statements with response options and recommendations were used as metrics against each criterion. Conclusion The proposed framework supports health services, health technology innovators, and researchers in leveraging current and emerging technologies for PH innovations. It covers a comprehensive set of criteria as part of the assessment process of these technologies.

scholarly journals Science for the Next Century: Deep Phenotyping

2021 ◽  
pp. 002203452110018
Author(s):  
J.T. Wright ◽  
M.C. Herzberg
Keyword(s):  
Health Care ◽  
Human Health ◽  
Care Delivery ◽  
The Past ◽  
Large Populations ◽  
Health And Disease ◽  
Methodological Approaches ◽  
Omic Data ◽  
Precision Health ◽  
Deep Phenotyping

Our ability to unravel the mysteries of human health and disease have changed dramatically over the past 2 decades. Decoding health and disease has been facilitated by the recent availability of high-throughput genomics and multi-omics analyses and the companion tools of advanced informatics and computational science. Understanding of the human genome and its influence on phenotype continues to advance through genotyping large populations and using “light phenotyping” approaches in combination with smaller subsets of the population being evaluated using “deep phenotyping” approaches. Using our capability to integrate and jointly analyze genomic data with other multi-omic data, the knowledge of genotype-phenotype relationships and associated genetic pathways and functions is being advanced. Understanding genotype-phenotype relationships that discriminate human health from disease is speculated to facilitate predictive, precision health care and change modes of health care delivery. The American Association for Dental Research Fall Focused Symposium assembled experts to discuss how studies of genotype-phenotype relationships are illuminating the pathophysiology of craniofacial diseases and developmental biology. Although the breadth of the topic did not allow all areas of dental, oral, and craniofacial research to be addressed (e.g., cancer), the importance and power of integrating genomic, phenomic, and other -omic data are illustrated using a variety of examples. The 8 Fall Focused talks presented different methodological approaches for ascertaining study populations and evaluating population variance and phenotyping approaches. These advances are reviewed in this summary.

Listening Like a Computer: Attentional Tensions and Mechanized Care in Psychiatric Digital Phenotyping

2021 ◽  
pp. 016224392110263
Author(s):  
Beth M. Semel
Keyword(s):  
Speech Sound ◽  
Smartphone Application ◽  
Subject Position ◽  
Research Subject ◽  
Semantic Meaning ◽  
Team Members ◽  
Phone Calls ◽  
Digital Phenotyping ◽  
Human Research Subject ◽  
Audio Recordings

This article explores negotiations over the humanistic versus mechanized components of care through an ethnographic account of digital phenotyping research. I focus on a US-based team of psychiatric and engineering professionals assembling a smartphone application that they hope will analyze minute changes in the sounds of speech during phone calls to predict when a user with bipolar disorder will have a manic or depressive episode. Contrary to conventional depictions of psychiatry as essentially humanistic, the discourse surrounding digital phenotyping positions the machine as a necessary addition to mental health care precisely because of its more-than-human sensory, attentional capacities. The bipolar research team likewise portrays their app as capable of pinpointing sonic signs of mental illness that humans, too distracted by semantic meaning, otherwise ignore. Nevertheless, the team members tasked with processing the team’s data (audio recordings of human research subject speech) must craft and perform a selectively attentive machinic subject position, which they call “listening like a computer”: a paradoxical mode of attention (to speech sound) and inattention (to speech meaning). By tracing the team’s discursive and on-the-ground enactments of care and attention as both humanistic and machinic, I tune a critical ear to the posthuman promises of digital phenotyping.

scholarly journals CREATE: A New Data Resource to Support Cardiac Precision Health

CJC Open ◽  
2020 ◽  
Author(s):  
Seungwon Lee ◽  
Bing Li ◽  
Elliot A. Martin ◽  
Adam G. D'Souza ◽  
Jason Jiang ◽  
...  
Keyword(s):  
Data Resource ◽  
Precision Health

scholarly journals Use of Korean dramas to facilitate precision mental health understanding and discussion for Asian Americans

2021 ◽  
Author(s):  
Van My Ta Park ◽  
Cate Jongkyung Park ◽  
Charles Kim ◽  
Nhi Cristina Y Nguyen ◽  
Anh T Tran ◽  
...  
Keyword(s):  
Mental Health ◽  
San Francisco ◽  
Asian Americans ◽  
Health Knowledge ◽  
The United States ◽  
Mental Health Research ◽  
Educational Tool ◽  
Convenience Sample ◽  
Language Groups ◽  
Precision Health

Summary Precision mental health holds great potential for revolutionizing care and reducing the burden of mental illness. All races and ethnicities such as Asian Americans, the fastest growing racial group in the United States (U.S.), need to be engaged in precision mental health research. Owing to its global popularity, Korean drama (‘K-drama’) television shows may be an effective educational tool to increase precision mental health knowledge, attitudes and behaviors among Asian Americans. This qualitative study examined the participants’ perspectives about and acceptance of using K-dramas to educate and engage Asian Americans about precision mental health. Twelve workshops were conducted in English, Vietnamese and Korean with a convenience sample in the San Francisco Bay Area in the U.S. (n = 122). Discussions were coded for themes. Findings revealed that all language groups reported positive reactions to using K-dramas to learn about precision health, genetics and mental health. Overall, participants shared that they learned about topics that are not generally talked about (e.g. precision health; genetic testing; mental health), from other people’s perspectives, and the importance of mental health. Participants expressed how much they enjoyed the workshop, how they felt relieved due to the workshop, thought the workshop was interesting, and had an opportunity for self-reflection/healing. This pilot test demonstrated that K-dramas has promise to be used as a health educational tool in a workshop format focused on mental health among a diverse group of Asian Americans. Given the widespread access to K-dramas, they present a scalable opportunity for increasing awareness about specific health topics.

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