Christian Webb
@ChrisWebbPhD
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Associate Professor | @HarvardMed Director | Treatment & Etiology of Depression in Youth Lab Co-Director | Center for Depression, Anxiety & Stress Research
Boston, MA
Joined October 2012
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RT @hadarfisher: Check out our thoughts on the growing use of passive sensing for digital phenotyping. In this commentary, we reflect on ex….
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RT @aidangcw: For those interested in the target paper, see here for the link (it's open access). We use a much larger sample than is typi….
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🧠📱Excited to share our invited commentary in @JAMANetworkOpen on the promise and pitfalls of using smartphones (and wearables) to track psychopathology. w/ @hadarfisher and linked to excellent paper by @WhitneyRingwald @aidangcw & team. Link ->
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If you’re heading to @SPRtweets meeting, check out our panels on tech, personalization, & precision in psychotherapy!. 📱Enhancing Clinical Practice w/ EMA (Fri, 11:30am).📊Innovations in Personalization/Precision in therapy (Sat, 2pm).🧠Neuroscience in therapy (Sat, 3:15pm).
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RT @ChrisWebbPhD: New paper out from the lab led by @hadarfisher and @NigelJaffe using smartphone sensors tracking activity levels and LLMs….
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New paper out from the lab led by @hadarfisher and @NigelJaffe using smartphone sensors tracking activity levels and LLMs applied to teen text data to track activity levels in behavioral activation.
🚨 Preprint alert! 🚨. Can we track therapeutic change outside the clinic?.In a new preprint, we explored whether digital tools - smartphone sensors📱 and LLM (GPT-4o) 🤖- can track daily-life activation in adolescents receiving Behavioral Activation (BA) therapy for anhedonia.
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RT @hadarfisher: 🚨 Preprint alert! 🚨. Can we track therapeutic change outside the clinic?.In a new preprint, we explored whether digital to….
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RT @JohnTorousMD: What happens when a country (New Zealand) makes an online/app-based #mentalhealth program accessible to all youth ages 12….
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RT @hadarfisher: 🚨 Now out in Emotion! 🚨.📄 Grateful to all collaborators 🙏 — excited to share this work!.
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Great work led by @hadarfisher and Haya Fatimah on how emotion regulation dynamics during adolescence predict future depressive symptoms.
🚨 Now out in Emotion! 🚨.📄 Grateful to all collaborators 🙏 — excited to share this work!.
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RT @HGolkashani: Fascinating work on predicting negative affect in serious mental illness using > 1 year of smartphone + wearable data. Per….
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The pattern of findings are very similar to what we found in a previous study (which collected continuous passive data for 3 months whereas this study did so for 1 year).
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The ability to predict these states in real-time could inform the development and timely delivery of emotionally beneficial smartphone-delivered interventions which could be automatically triggered via a predictive algorithm 5/n.
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Smartphone location (GPS) variables were the most predictive features overall. Critically, there was LOTS of heterogeneity between individuals in the association between smartphone features and negative emotional states. 4/n
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The ensemble ML approach (i.e., which involved a data-driven search of the optimal combination of subject-specific models) outperformed a fully idiographic model (i.e., person-specific models that do not borrow any information from other individuals’ models). 3/n
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A personalized ensemble ML algorithm outperformed other statistical approaches (including simpler models), achieving an AUC of 0.72 (for irritability) - 0.79 (for loneliness) in predicting different negative emotions 2/n
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📢New paper out today. We collected continuous passive smartphone and wrist-worn actigraphy data for 1-year in individuals w/ serious mental illness to try to predict their negative emotional states w/.@JustinBakerMD, Boyu Ren and team 1/n.
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Baby Is Healed With World’s First Personalized Gene-Editing Treatment - The New York Times
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