Michael Sobolev

WARN-D machine learning competition is live » Eiko Fried If you share one single thing of our team in 2026—on social media or per email with your colleagues—please let it be this machine learning competition. It was half a decade of work to get here, especi...

After 5 years of data collection, our WARN-D machine learning competition to forecast depression onset is now LIVE! We hope many of you will participate—we have incredibly rich data.

If you share a single thing of my lab this year, please make it this competition.

eiko-fried.com/warn-d-machi...

Patients trust physicians over AI for diagnosis but see a role in cancer detection, survey finds | Medical Economics Most Americans remain cautious about AI diagnosing them on its own, but views improve when the tech assists clinicians.

Most Americans are wary of relying entirely on AI to make a diagnosis, but they're more optimistic about its potential to help clinicians detect cancer.

USC Schaeffer's @michaelsobolev.bsky.social discusses his new research on patient trust in AI with @medicaleconomics.bsky.social.

IT'S HAPPENING! 💥 I'm psyched to launch the collaboration between @qedscience.bsky.social & @openrxiv.bsky.social @biorxivpreprint.bsky.social! Preprint + q.e.d = your science is out there, and anyone can appreciate it. Let's care about making discoveries, and not on “getting published” (1/3) 👇

BIG ANNOUNCEMENT📣: I haven’t been this excited to be part of something new in 15 years… Thrilled to reveal the passion project I’ve been working on for the past year and a half!🙀🥳 (thread 👇)

Would love to hear from you. If you’re working at the intersection of AI, healthcare, and patient trust and acceptance — let’s connect! We'd love to hear your take. Paper available here: ssrn.com/abstract=566...

🙏Big thanks to my co-author @psleboda.bsky.social
from @baruch.cuny.edu and to the team at the Understanding America Study at USC CESR. Also, grateful for the support from the @schaeffer.usc.edu and Cedars Sinai.

In a deeper vignette on cervical cancer diagnosis (n=713), we found that: 66.8% agreed with the potential of AI in health diagnosis, 43% expressed excitement about it, 39.9% reported understanding, 35.6% expressed trust in its use, and only 12.9% reported fear toward the tech.

Among a representative survey of 10,035 U.S. adults. Those who had heard of LLMs had ~74% higher odds of trusting medical AI; those who had used them had ~90% higher odds. This predicted acceptance dimensions, even controlling for demographics & general trust in medical AI.

🎉 New preprint “Acceptance of Medical Artificial Intelligence and the Effect of ChatGPT”. Nearly half of U.S. adults had heard of ChatGPT, and about 25% used it. When it comes to trusting AI for medical diagnosis as much as or more than a human expert? Only 15% said yes

3rd International Conference “Integrity, Open Science and Artificial Intelligence in Academia and Beyond: Meeting at the Crossroads”

December 17-18
Online & Free

Call for abstracts and registration: armgpublishing.com/3rd-internat...

Thank you for this effort. So useful

We built the openESM database:
▶️60 openly available experience sampling datasets (16K+ participants, 740K+ obs.) in one place
▶️Harmonized (meta-)data, fully open-source software
▶️Filter & search all data, simply download via R/Python

Find out more:
🌐 openesmdata.org
📝 doi.org/10.31234/osf...

Predicting Engagement Patterns With Connected Wearable Devices in a Health System: Survival Analysis Background: The rapid advancement and widespread adoption of wearable devices provide opportunities to collect longitudinal objective activity and health data and integrate the information directly in...

🚨 New @jmirpub.bsky.social paper analyzing EHR-linked wearable data from 8,616 patients using survival models to understand long-term engagement.

68% of patients were still engaged at 1 year after first connecting a device. Other results in the paper:

www.jmir.org/2025/1/e78507

FAST COMPANY Article: While retirement typically occurs, after completing a career and saving and investing for it, a new trend is emerging among Gen Z career professionals called "micro-retirement." Micro- retirements involve taking a one to two- week break from work every 12 to 18 months. Gen Z is using micro-retirement to avoid burnout, find greater fulfillment in their work, and enhance their overall well-being. However, it's not just Gen-Z:

'Vacations.'

The word is 'vacations.'

Are #smartphones and #socialmedia harming a generation?

This is a hotly debated and often polarizing debate. So we surveyed over 120 experts on the topic to see where there was genuine consensus (or not), like experts have previous done for climate change.

See our paper: osf.io/preprints/ps...

Combining gamified cognitive training and walking (Walk and Play): A pilot study: http://osf.io/xpy7d_v1/

Humanity Health | Sandeep Patel | Substack Exploration of how we can build companies of the future that can safeguard our collective wellbeing. Click to read Humanity Health, by Sandeep Patel, a Substack publication. Launched 2 months ago.

The most popular item in our newsletter last week was this post, from Sandeep Patel, on "20 Things We Should Redesign in 2025 for a Healthier, More Secure World."

humanityhealth.substack.com