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Back to Sciences (Social, Health, Biological, Physical)

All Work Published on Sciences (Social, Health, Biological, Physical)

Tim de Silva
Assistant Professor of Finance
Person

Tim de Silva

Assistant Professor of Finance
Government, Public Administration
Machine Learning
Human Reasoning
Sciences (Social, Health, Biological, Physical)
Person
In Love With A ChatBot?
Psychology Today
Nov 19, 2025
Media Mention

The science behind AI romances; plus the benefits and risks for mental health. A Stanford HAI study shows that because AI companions can provide unlimited affirmation and interaction, they may create unrealistic expectations for relationships.

In Love With A ChatBot?

Psychology Today
Nov 19, 2025

The science behind AI romances; plus the benefits and risks for mental health. A Stanford HAI study shows that because AI companions can provide unlimited affirmation and interaction, they may create unrealistic expectations for relationships.

Design, Human-Computer Interaction
Sciences (Social, Health, Biological, Physical)
Media Mention
Equitable Implementation of a Precision Digital Health Program for Glucose Management in Individuals with Newly Diagnosed Type 1 Diabetes
Priya Prahalad, David Scheinker, Manisha Desai, Victoria Y Ding, Franziska K Bishop, Ming Yeh Lee, Johannes Ferstad, Dessi P Zaharieva, Ananta Addala, Ramesh Johari, Korey Hood, David Maahs
Jul 30, 2024
Research
Your browser does not support the video tag.

Few young people with type 1 diabetes (T1D) meet glucose targets. Continuous glucose monitoring improves glycemia, but access is not equitable. We prospectively assessed the impact of a systematic and equitable digital-health-team-based care program implementing tighter glucose targets (HbA1c < 7%), early technology use (continuous glucose monitoring starts <1 month after diagnosis) and remote patient monitoring on glycemia in young people with newly diagnosed T1D enrolled in the Teamwork, Targets, Technology, and Tight Control (4T Study 1). Primary outcome was HbA1c change from 4 to 12 months after diagnosis; the secondary outcome was achieving the HbA1c targets. The 4T Study 1 cohort (36.8% Hispanic and 35.3% publicly insured) had a mean HbA1c of 6.58%, 64% with HbA1c < 7% and mean time in the range (70-180 mg dl-1) of 68% at 1 year after diagnosis. Clinical implementation of the 4T Study 1 met the prespecified primary outcome and improved glycemia without unexpected serious adverse events. The strategies in the 4T Study 1 can be used to implement systematic and equitable care for individuals with T1D and translate to care for other chronic diseases.

Equitable Implementation of a Precision Digital Health Program for Glucose Management in Individuals with Newly Diagnosed Type 1 Diabetes

Priya Prahalad, David Scheinker, Manisha Desai, Victoria Y Ding, Franziska K Bishop, Ming Yeh Lee, Johannes Ferstad, Dessi P Zaharieva, Ananta Addala, Ramesh Johari, Korey Hood, David Maahs
Jul 30, 2024

Few young people with type 1 diabetes (T1D) meet glucose targets. Continuous glucose monitoring improves glycemia, but access is not equitable. We prospectively assessed the impact of a systematic and equitable digital-health-team-based care program implementing tighter glucose targets (HbA1c < 7%), early technology use (continuous glucose monitoring starts <1 month after diagnosis) and remote patient monitoring on glycemia in young people with newly diagnosed T1D enrolled in the Teamwork, Targets, Technology, and Tight Control (4T Study 1). Primary outcome was HbA1c change from 4 to 12 months after diagnosis; the secondary outcome was achieving the HbA1c targets. The 4T Study 1 cohort (36.8% Hispanic and 35.3% publicly insured) had a mean HbA1c of 6.58%, 64% with HbA1c < 7% and mean time in the range (70-180 mg dl-1) of 68% at 1 year after diagnosis. Clinical implementation of the 4T Study 1 met the prespecified primary outcome and improved glycemia without unexpected serious adverse events. The strategies in the 4T Study 1 can be used to implement systematic and equitable care for individuals with T1D and translate to care for other chronic diseases.

Healthcare
Sciences (Social, Health, Biological, Physical)
Your browser does not support the video tag.
Research
Marissa Reitsma
Assistant Professor of Health Policy
Person

Marissa Reitsma

Assistant Professor of Health Policy
Sciences (Social, Health, Biological, Physical)
Ethics, Equity, Inclusion
Person
Generative AI Is Helping Stanford Researchers Better Understand Brain Diseases
Vignesh Ramachandran
Oct 07, 2025
News
Selective focus of MRI brain sagittal plane for detect a variety of conditions of the brain

Synthetic brain MRI technology is supercharging computational neuroscience with massive data.

Generative AI Is Helping Stanford Researchers Better Understand Brain Diseases

Vignesh Ramachandran
Oct 07, 2025

Synthetic brain MRI technology is supercharging computational neuroscience with massive data.

Generative AI
Healthcare
Sciences (Social, Health, Biological, Physical)
Selective focus of MRI brain sagittal plane for detect a variety of conditions of the brain
News
Contextualizing Meaningful Social Interactions and Psychological Well-Being in Everyday Life
Mahnaz Roshanaei, Sumer S. Vaid, Andrea L. Courtney, Serena J. Soh, Gabriella Harari, Jamil Zaki
Jun 28, 2024
Research
Your browser does not support the video tag.

Using three large-scale longitudinal datasets collected from a cohort of university students over the span of 3 years (total N = 2,896 participants; ecological momentary assessments = 129,414), we found that engagement in meaningful social interactions with peers was associated with lower momentary loneliness and greater affective well-being. We also examined the role of four contextual factors (interaction partners, communication channels, places, and co-occurring activities) in explaining the relationships between meaningful social interactions and momentary well-being. Across samples, we found (a) participants reported experiencing greater loneliness and lower affective well-being after engaging in meaningful social interaction via computer-mediated channels (and via direct messaging in particular), compared to face-to-face, and (b) participants reported experiencing lower affective well-being after engaging in meaningful social interactions while dining and studying or working, compared to while resting. Taken together, our findings provide insight into the relationships between meaningful social interactions, momentary well-being, and contextual factors.

Contextualizing Meaningful Social Interactions and Psychological Well-Being in Everyday Life

Mahnaz Roshanaei, Sumer S. Vaid, Andrea L. Courtney, Serena J. Soh, Gabriella Harari, Jamil Zaki
Jun 28, 2024

Using three large-scale longitudinal datasets collected from a cohort of university students over the span of 3 years (total N = 2,896 participants; ecological momentary assessments = 129,414), we found that engagement in meaningful social interactions with peers was associated with lower momentary loneliness and greater affective well-being. We also examined the role of four contextual factors (interaction partners, communication channels, places, and co-occurring activities) in explaining the relationships between meaningful social interactions and momentary well-being. Across samples, we found (a) participants reported experiencing greater loneliness and lower affective well-being after engaging in meaningful social interaction via computer-mediated channels (and via direct messaging in particular), compared to face-to-face, and (b) participants reported experiencing lower affective well-being after engaging in meaningful social interactions while dining and studying or working, compared to while resting. Taken together, our findings provide insight into the relationships between meaningful social interactions, momentary well-being, and contextual factors.

Sciences (Social, Health, Biological, Physical)
Your browser does not support the video tag.
Research
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