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Stanford Center for Digital Health

@stanfordcdh.bsky.social
72 followers 33 following 110 posts

Shaping the future of digital health, together.

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Stanford Center for Digital Health @stanfordcdh.bsky.social · 03/09/2026
Registration for our 2026 Annual Symposium on October 22nd is open! This event brings together researchers, clinicians, & business leaders on Stanford’s campus to explore the latest research & innovation at the intersection of health & technology. Reserve your spot at cdhannualsymposium.com
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 26/08/2026
Agentic AI is here, and it is already changing how research gets done. CDH-funded researcher James Zou discusses what this means for scientific discovery in a new Stanford Report article. Read more here: news.stanford.edu/stories/2026...
news.stanford.edu
Agentic AI in biomedical research: What is it and can it expedite science?
Researchers are venturing into a new area of collaboration that relies on agentic AI, co-scientists that can act independently and help humans ideate, hypothesize, and speed up scientific exploration.
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 24/08/2026
Most LLM benchmarks miss the complexities of a real clinical practice. BRIDGE, from CDH-funded researcher Jonathan Chen and co-authors, introduces a multilingual evaluation framework built from 87 clinical tasks across 14 specialties. Read the study: www.nature.com/articles/s41...
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 20/08/2026
A new paper from CDH researchers introduces the first AI-assisted systematic review in osteogenesis imperfecta (OI), using GPT-4o to accelerate evidence synthesis while maintaining expert human oversight. Learn more in the full study: www.jmir.org/2026/1/e85840
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 13/08/2026
How could generative & agentic AI transform drug discovery? A commentary from CDH-funded researcher James Zou & co-authors published in @americanheart.bsky.social Circulation presents a roadmap to accelerate therapeutic development the drug discovery pipeline. www.ahajournals.org/doi/full/10....
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 10/08/2026
This work was done by a team of collaborators led by Timothy Keyes & Sneha Jain of the Data Science team at Stanford Health Care, including CDH-funded researcher Jonathan Chen & Affiliate Faculty Nigam Shah. Learn more: catalyst.nejm.org/doi/full/10....
catalyst.nejm.org
Why and How to Monitor Deployed AI Systems in Health Care
A practical framework for postdeployment monitoring of artificial intelligence systems in health care — organized around system integrity, performance, and impact — and its application across 13 de...
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 10/08/2026
What happens after healthcare AI goes live? A new study in NEJM Catalyst establishes a framework for post-deployment monitoring, helping clinical practices ensure their AI systems continue to deliver safe, effective care.
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 23/07/2026
A robust system of support across social, clinical, & structural contexts is essential to success with GLP-1 RAs, according to a study from CDH Affiliated Scholar Isabella de Vere Hunt, Director Eleni Linos, Associate Director Fatima Rodriguez, MD, MPH, & co-authors. jamanetwork.com/journals/jam...
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 16/07/2026
New research led by Dr. Moritz Schaefer, mentored by CDH-funded researchers Zinaida Good & Jure Leskovec, introduces SpatialWhisperer. This work was presented at the International Conference of Machine Learning last week. Learn more and access the full model: github.com/zinagoodlab/...
github.com
GitHub - zinagoodlab/spatialwhisperer
Contribute to zinagoodlab/spatialwhisperer development by creating an account on GitHub.
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 14/07/2026
Fatima Rodriguez, MD, MPH & Chiadi E. Ndumele, MD, PhD, MHS, FAHA discuss their work on the @americanheart.bsky.social guidelines around Cardiovascular-Kidney-Metabolic syndrome. The guidelines aim to provide a unified, evidence-based framework for clinicians everywhere. youtu.be/GRCmFIiCC-M?...
youtu.be
2026 Cardiovascular-Kidney-Metabolic Syndrome Guideline
YouTube video by AHAScience
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 09/07/2026
(2/2) Through this CDH program, Strava will collaborate with Stanford researchers from the Stanford FASTR Program & Stanford Lifestyle Medicine as the first step in their commitment to a longer investment in sports science. Learn more: press.strava.com/articles/str...
press.strava.com
Strava Announces Collaboration with Stanford University Researchers to Bring Leading Sports Science to 195 Million Athletes
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 09/07/2026
(1/2) We are thrilled to have Strava as part of our Industry Affiliate program.
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 08/07/2026
The Stanford Center for Digital Health Annual Symposium will bring researchers, clinicians, and business leaders together on the @stanforduniversity.bsky.social campus to explore the latest research and innovation at the intersection of health and technology. Register now at cdhannualsymposium.com
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 07/07/2026
(2/2) Their talk emphasized the importance of developing a business case for metabolic health prevention through partnerships with academia, regulators, and industry. See Fatima’s recent work here: med.stanford.edu/profiles/856...
med.stanford.edu
Fatima Rodriguez | Stanford Medicine
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 07/07/2026
(1/2) CDH Associate Director Fatima Rodriguez joined the Metabolic Health Business Building Summit hosted by the McKinsey Health Institute & @stanfordmedicine.bsky.social alongside Dr. Mehmood Khan, CEO of Hevolution Foundation, & Prof. Andrew Scott, Professor of Economics at London Business School.
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 06/07/2026
In a study, CDH Affiliated Faculty Jonathan Chen & co-authors, found that LLMs outperformed both physicians & older AI systems on sophisticated clinical reasoning cases — surpassing a benchmark that has defined expert medical computing for 65+ years. Read more: www.science.org/doi/10.1126/...
science.org
Performance of a large language model on the reasoning tasks of a physician
More than 65 years ago, complex clinical diagnostic reasoning cases were introduced as the gold standard for the evaluation of expert medical computing systems, a standard that has held ever since. In...
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 03/07/2026
What does it truly mean to quiet the “food noise” with GLP-1 medications? The @stanfordmedicine.bsky.social took a closer look at the new work published in @jamanetworkopen.com by CDH-funded researchers. medicine.stanford.edu/news/stories...
medicine.stanford.edu
Quieting the Food Noise: Inside the Real Experience of GLP-1 Medications
Through patient interviews, Stanford researchers reveal the real experience of GLP-1 medications, including quieted cravings, side effects, stigma, and barriers to access.
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Reposted by Stanford Center for Digital Health
Stanford Department of Medicine @stanforddeptmed.bsky.social · 02/07/2026
In a new @jamanetworkopen.com study from Stanford Center for Digital Health, researchers interviewed patients about their real experiences with #GLP1 medications. For many, the story was about life when food was no longer in charge. stanford.io/4gfNpGU
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 02/07/2026
(4/4)To apply send digitalhealth@stanford.edu the below: - Your resume - Your vision for boosting CDH's social media presence (200 words) - A sample tweet & LinkedIn post about a published study you love - Any past social media work or portfolio - Video, image, or graphic design samples are a plus!
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 02/07/2026
(3/4) What you'll do: - Create content that makes digital health research engaging and accessible - Spotlight key events, conferences, and faculty work - Track engagement and provide updates
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 02/07/2026
(2/4)Our social media leaders will dedicate 2 - 4 hours per week working closely with the CDH team to help us share our work with the world. Who can apply: Any registered Stanford student or trainee: undergrads, grad students, med students, residents, and fellows all welcome.
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 02/07/2026
(1/4) Passionate about storytelling and digital health research? Stanford CDH is recruiting 3 Stanford students/trainees to help share our work with the world. Apply by July 31st. More details below.
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 01/07/2026
The Stanford CDH Industry Affiliate program welcomes new partners. Our program is designed to foster partnerships between industry and academia. Learn more about our Industry Affiliates Program here: cdh.stanford.edu/industry-aff...
cdh.stanford.edu
Industry Affiliate Program
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 01/07/2026
We are thrilled to welcome Strava to our Industry Affiliate program. Through this program Strava will collaborate with Stanford researchers for a longer investment in sports science. Learn more about the collaboration: press.strava.com/articles/str...
press.strava.com
Strava Announces Collaboration with Stanford University Researchers to Bring Leading Sports Science to 195 Million Athletes
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 24/06/2026
How do patients feel about ambient AI scribes? A new CDH Digital Health Grant-funded study of 2,000+ patients found strong support for the technology. Read the full publication to learn more: academic.oup.com/jamiaopen/ar... @amia.org
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 23/06/2026
In this new invited commentary in @natmachintell.nature.com , our own Jiyeong Kim, and co-author, Carolyn I. Rodriguez, discuss PsychFound, a domain-specific LLM that demonstrated a potential for LLM grounded in real-world clinical practice in psychiatry. Read more: www.nature.com/articles/s42...
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 22/06/2026
Our 2026 Grant Awardees, Summer Han, Natalie Lui, & Shreya Shah, are developing a scalable agentic AI framework that helps maximize the lifesaving potential of early detection of lung cancer, the leading cause of cancer death in the US. Learn more: cdh.stanford.edu/research-por...
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 18/06/2026
Is a single comorbidity score enough for all patients? At the AcademyHealth Annual Research Meeting (ARM), CDH travel awardee, Yeon Mi Hwang, presented a data-driven, personalized framework for more accurate comorbidity scoring. Learn more about our travel award: cdh.stanford.edu/industry-aff...
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 17/06/2026
(2/2) Her project aims to gather learnings that create the groundwork for the next generation of physically assistive soft robots. Learn more at cdh.stanford.edu/research-por...
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 17/06/2026
(1/2) Allison Okamura, a 2026 CDH Grant Awardee, aims to make aging in place safer & more manageable by creating transformative soft robotic physical assistance technology.
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 05/06/2026
What helps patients sustain the benefits of GLP-1 RAs over time? A new study from CDH led by Affiliated Scholar Isabella de Vere Hunt shows that treatment is only part of the equation — behavioral support and lifestyle change are still essential. Read the full study: jamanetwork.com/journals/jam...
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 04/06/2026
What does more holistic, patient-centered care look like in the era of GLP-1s? We led a workshop with experts and industry leaders across healthcare, research, and technology to discuss the future of metabolic health. Read the full report: cdh.stanford.edu/research-por...
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 26/05/2026
(2/2) Their goal is to create a faster, more scalable way to design and validate new T cell therapies that are more likely to success in clinical translation. See all 2026 CDH Grant Awardees at cdh.stanford.edu/research-portfolio
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 26/05/2026
(1/2) 2026 CDH Grant Awardees Zinaida Good & Jure Leskovec are working to help accelerate T cell therapies by combining the power of artificial intelligence and real patient data.
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 21/05/2026
PTSD remains widely untreated in the US, with care out of reach for many. A new publication from CDH Affiliated Faculty Eric Kuhn and colleagues review how digital mental health technologies are reshaping treatment: www.sciencedirect.com/science/arti...
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 20/05/2026
2026 CDH Grant Awardees Margaret Cychosz & Matthew Fitzgerald are using wearables and machine learning-powered speech analysis to improve language development for children who are deaf and hard-of-hearing. Learn more about all of our 2026 grant awardees at cdh.stanford.edu/research-por...
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 15/05/2026
My Heart Counts is evolving into a fully digital research platform thanks to CDH-funded researcher Daniel Seung Kim, combining real-world health data with fully autonomous randomized trials. Learn more: www.sciencedirect.com/science/arti...
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 13/05/2026
Meet two of our 2026 Digital Health Grant Awardees: Kavita Sarin & Helen Bronte-Stewart who are working to develop a method to detect Parkinson's before traditional diagnosis by combining digital cognitive motor signals with skin biopsy. Learn more: cdh.stanford.edu/research-por...
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 12/05/2026
In 2026, Stanford CDH’s call for proposals received 149 applications. From those proposals, we funded 5 projects at $100,000 each. In addition we funded $125,000 to 3 more projects for a total of $625,000 awarded to 8 teams. See our full portfolio of funded research: cdh.stanford.edu/research-por...
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 11/05/2026
Where does AI stand today, and where is it headed next? The @stanfordhai.bsky.social #AIIndex2026 breaks it all down with the rigorous, objective, and data-driven insights. Read the full report here: hai.stanford.edu/ai-index/202...
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 08/05/2026
Our team had a great time at the My Heart Counts 5K where we walked & ran to support the Stanford Center for Inherited Cardiovascular Disease, which helps families with genetic heart disease access life-saving treatments & care. You can still donate & support here: pro.gofundme.com/team/819273
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 07/05/2026
(2/2) My Heart Counts is a research initiative launched in 2015 by @euanashley.bsky.social & collaborators in partnership with Apple — which became the fastest-recruiting medical study in history. Learn more: myheartcounts.stanford.edu/about
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 07/05/2026
(1/2) Built to tackle cardiovascular disease — the world's leading cause of death — My Heart Counts app recently got an upgrade. Download the app here: apps.apple.com/us/app/my-he...
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 30/04/2026
We’re proud to partner with @stanfordhai.bsky.social to support the next wave of innovative AI research. These seed grants will fund 29 research teams totaling $2.17M — and we’re excited to co-fund three of the projects at the intersection of AI & healthcare. hai.stanford.edu/news/collabo...
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 28/04/2026
Our partners @stanfordhai.bsky.social just released the #AIIndex2026: a deep dive into what's ahead for AI with opportunities, the critical gaps, and what it all means for our collective future. Learn more: hai.stanford.edu/ai-index/202...
hai.stanford.edu
The 2026 AI Index Report | Stanford HAI
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 22/04/2026
About 50% of people with diabetes develop nerve damage in their feet & many don't find out until it's too late. A new study from inaugural CDH pilot grant awardees explores how a smartphone app can catch it sooner and with more precision. Read more here: journals.sagepub.com/doi/10.1177/...
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 17/04/2026
Where does AI belong in clinical workflows? A randomized trial from CDH Affiliate Faculty Jonathan Chen, Kevin Schulman, & co-authors, found that both 1st & 2nd-opinion AI improved clinicians’ accuracy, but who goes first can lead to different errors. www.nature.com/articles/s41...
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 16/04/2026
We're excited to introduce the 2026 Stanford Center for Digital Health Grant Awardees, a cohort of scientists working on projects that can transform health. Join us in celebrating this exceptional group of researchers from across @stanforduniversity.bsky.social cdh.stanford.edu/research-por...
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 13/04/2026
A study led by Rohan Shad & Will Hiesinger in collaboration with CDH's @euanashley.bsky.social & Curtis Langlotz & others introduces a foundational AI system for cardiac MRI, achieving clinical-grade diagnostic accuracy with a fraction of the data typically required. www.nature.com/articles/s41...
nature.com
A generalizable deep learning system for cardiac MRI - Nature Biomedical Engineering
A transformer-based vision system for cardiac MRI offers a generalizable and data-efficient system for diverse tasks in cardiology, offering clear advantages for contextualizing human cardiovascular d...
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Stanford Center for Digital Health @stanfordcdh.bsky.social · 09/04/2026
Designed to take on the vast landscape of modern biological data, CellVoyager is an AI agent that autonomously runs complex scRNA-seq analyses at scale. Learn more about the work from CDH-funded researcher James Zou and team: www.nature.com/articles/s41...
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