Stanford Center for Asian Health Research & Education

06/22/2026

We're thrilled to announce that Stanford CARE faculty member, Haopeng Xiao, PhD, has been named a 2026 Rita Allen Foundation Scholar!

Dr. Xiao is one of just 7 exceptional early-career scientists selected for this prestigious award, which recognizes innovative researchers pioneering new approaches in their fields.

About Dr. Xiao's Research:
Dr. Xiao's lab develops cutting-edge mass spectrometry and machine learning approaches to understand how proteins and metabolites work together in health and disease. His team is redefining protein druggability and using these insights to design new therapeutic strategies for aging, metabolic disease, and cancer.

The Rita Allen Foundation funding will provide Dr. Xiao's team the freedom to boldly pursue a deeper understanding of protein function across the human proteome.

Please join us in congratulating Dr. Xiao on this well-deserved recognition! 👏

Learn more about Dr. Xiao’s recognition here: https://ow.ly/wFBl50ZeHIY

06/19/2026

We're glad to welcome Adam Wang, PhD, to Stanford CARE!

Dr. Wang’s research group develops technologies for advanced x-ray and CT imaging, including artificial intelligence for CT acquisition, reconstruction, and image processing; spectral imaging, including photon counting CT (PCCT) and dual-layer flat-panel detectors; novel system and detector designs; and their applications in diagnostic imaging and image-guided procedures. They are also the Director of the Stanford Medicine Photon Counting CT Lab, Zeego Lab, and Tabletop X-Ray Lab.

Learn More about Dr. Wang and his research here: https://ow.ly/zMnW50Ze29w

06/17/2026

How is artificial intelligence really changing health care — and what does it mean for patients and communities?

Stanford CARE Director of AI, Jonathan Chen, MD, PhD, joins 90 Seconds With Lisa Kim to break it down — cutting through the hype to show where AI is already making a real difference, and how we can address common concerns with care, equity, and evidence at the center.

It's a thoughtful look at what more precise, inclusive health care can mean for communities.

Watch the full episode here: https://ow.ly/LQVj50YonFw

06/16/2026

We're glad to welcome Hyunseok Kang, MD, MPH, to Stanford CARE!

Dr. Kang is a medical oncologist specializing in head and neck cancers, including squamous cell carcinoma, salivary gland cancers, thyroid cancers, and other rare tumors. He serves as Leader of the Head and Neck Cancer Research Program at the Stanford Cancer Institute and Leader of Head and Neck Medical Oncology. His research focuses on developing clinical trials with novel therapies, including immunotherapy, targeted agents, and antibody-drug conjugates, to improve outcomes for patients with rare and aggressive head and neck cancers.

Learn More: https://ow.ly/xinJ50Zc7k3

06/12/2026

Over two decades, Dr. Bryant Lin treated many patients with lung cancer. He never smoked — and then received the same diagnosis.

After cycling through grief and two rounds of chemo, he chose to keep teaching, creating a Stanford course about living with terminal illness as both doctor and patient. The class drew international attention and became his first book, Sunshine: An Exploration of Living When You Are Dying.

Lung cancer affects many people who have never smoked, including a disproportionate share of Asian patients — a focus of Stanford CARE's mission.

📖 Pre-order (on sale Nov 10, 2026): https://www.penguinrandomhouse.com/books/822950/sunshine-by-bryant-lin-md/

▶️ Watch his story: https://youtu.be/vLk8nz2H3Cc

He spent 20 years treating patients with lung cancer. He never smok...

06/10/2026

Congratulations to Dr. Ruoqi Liu, PhD, a Stanford CARE AI postdoctoral scholar, on a new study published in npj Digital Medicine introducing PULSE—a fully open-source AI model for ECG image interpretation.

The research improves ECG reading when only printed or digital images are available, including in resource-limited settings, and outperformed general-purpose models by 21–33% in average accuracy. Now one of the most popular multimodel ECG foundation models with over 100,000 downloads, PULSE marks a meaningful step toward more accessible cardiac care.

Read the article here: https://ow.ly/JPbZ50Z92f1

06/08/2026

Congratulations to Dr. Jonathan Chen, Director of AI at Stanford CARE, on a new co-authored study in the Journal of General Internal Medicine.

The Stanford-led team explored how physicians use AI chatbots in clinical decisions — and found that doctors rely on their own expertise as a "filter," trusting AI output only when they can verify it. A grounded look at keeping clinicians in control as AI enters care.

Read: https://doi.org/10.1007/s11606-025-10145-0

06/03/2026

Welcome to Stanford CARE!

We're excited to welcome Joshua W. Knowles, MD, PhD, Associate Professor of Medicine (Cardiovascular Medicine), to the Stanford CARE faculty.

Dr. Knowles is a physician-scientist whose work spans the full spectrum of cardiovascular genetics—from discovery and model systems to clinical translation and real public health impact. His research focuses on the genetic basis of insulin resistance and conditions like Familial Hypercholesterolemia (FH), with a strong emphasis on improving diagnosis, treatment, and prevention at scale.

With 120+ publications and funding from the NIH, the American Diabetes Association, the American Heart Association, and the Doris Duke Charitable Foundation, Dr. Knowles brings deep expertise to our community. His leadership in initiatives like CASCADE FH and FIND FH has advanced national efforts to identify and treat patients with inherited cardiovascular risk.

We look forward to the innovation and collaboration ahead.

Learn more about Dr. Knowles: https://asianhealth.stanford.edu/people/joshua-knowles-0

05/29/2026

What happens when AI is left out of medical education — and who does that impact most?

In Episode 114 of Stanford Medcast, Dr. Jonathan H. Chen, Stanford CARE's Director of AI, explores how artificial intelligence is reshaping both medical training and clinical care. He discusses AI as a partner in medicine, the limits of automation, and why avoiding these tools may unintentionally widen inequities among learners.

The conversation also highlights the importance of judgment, trust, and critical thinking as healthcare systems grow more complex.

Listen here: https://ow.ly/HawH50YpmcY