PPH seminar: Digital Phenotyping for Precision Mental Health - Friday, Nov 7th at 12pm
Please join the Princeton Precision Health (PPH) Initiative for the next talk of our Fall 2025 semester series on Friday, November 7th, at 12:00 pm, at 252 Nassau Street. Dr. Nelson Freimer is Director of UCLA’s Depression Grand Challenge, a campus-wide initiative that aims to cut the burden of depression in half by 2050. He will present a seminar on, Digital Phenotyping for Precision Mental Health. Widespread application of digital phenotyping – assessments using data passively obtained from smartphones and wearables – could transform mental health research and clinical care by providing nearly continuous, quantitative, and objective information across broad physiological, behavioral, and emotional domains. The UCLA-Apple Digital Mental Health Study (DMHS) is the largest and longest digital mental health study conducted to date, having collected up to12 months of sensor data from phones and watches (resulting in >900 phenotypic features) in a sample of >4,000 participants, diverse by age, sex at birth, ethnicity, and depression symptom severity. Analyses of DMHS data identify highly specific associations between depression and anxiety symptoms and sensor domains. Additionally, the results suggest that longitudinal digital phenotyping will enable dissection of heterogenous diagnostic categories, a key step towards precision mental health. Lunch will be provided. Getting to the seminar space currently requires that you climb a set of stairs. If an accommodation is needed, please contact PPH in advance at: [ mailto:PrincetonPPH@princeton.edu | PrincetonPPH@princeton.edu ]
participants (1)
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Emily C. Lawrence