Digital Phenotypes and Personalized Medicine in the Era of Digital Pandemic: Interventions, Outcomes, and Safety
A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Personalized Therapy in Clinical Medicine".
Deadline for manuscript submissions: 31 January 2027 | Viewed by 793
Special Issue Editors
2. Child Psychiatry Division, Department of Psychiatry, China Medical University Hospital, Taichung 404, Taiwan
3. College of Medicine, China Medical University, Taichung 404, Taiwan
Interests: ADHD; child and adolescent mental health; nutritional psychiatry; depression
2. College of Medicine, China Medical University, Taichung 404, Taiwan
3. An-Nan Hospital, China Medical University, Tainan 709, Taiwan
Interests: immunopsychiatry; nutritional psychiatry; depression; omega-3 fatty acids; translational medicine
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid expansion of digital technologies has reshaped mental health, giving rise to a “digital pandemic” in which continuous online engagement influences behavior, cognition, and emotional well-being. This concept has been formally introduced and further elaborated in recent psychiatric and interdisciplinary research, highlighting the role of algorithmically mediated environments as population-level drivers of mental health risk. In this context, digital phenotyping—the real-time capture of behavioral and experiential data via personal devices—offers new opportunities to understand mental health dynamics and inform care. When integrated with personalized medicine, these approaches enable adaptive, context-aware interventions, including digital personalized tools such as chatbots, mobile health applications, and interactive platforms.
This Special Issue explores how digital phenotypes can be translated into targeted interventions and measurable mental health outcomes, including outcomes associated with AI-enabled and data-driven digital tools. We welcome both original research and review articles, including systematic and scoping reviews, that examine intervention effectiveness, outcome monitoring, and scalable care models across diverse settings.
At the same time, the increasing use of digital technologies raises important concerns regarding safety, bias, privacy, and ethical governance. This collection aims to advance data-driven, outcome-oriented, and ethically responsible approaches to personalized mental health care in the digital era.
Dr. Jane Pei-Chen Chang
Dr. Kuan-Pin Su
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Personalized Medicine is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- AI
- AI ethics
- AI safety
- digital phenotype
- digital pandemic
- LLM
- mental health
- personalized medicine
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