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Stanford Medicine


Stanford Medicine sudy suggests physician’s medical decisions benefit from chatbot

A Stanford Medicine study found that AI-powered chatbots can effectively answer nuanced clinical questions and improve physician performance. The research showed that chatbots outperformed doctors in certain scenarios, particularly when combined with human expertise, suggesting a potential future direction for AI-assisted medical decis...

SourceStanford Medicine·JournalNature Medicine·TypeExperimental study·DateFeb 8, 2025

Researchers use AI to help predict and identify subtypes of Type 2 diabetes from simple glucose monitor

A new AI-based algorithm can parse three of the four most common Type 2 diabetes subtypes using data from continuous blood glucose monitors. The technology could help individuals take preventative measures by identifying prediabetes warning signs and adjusting dietary or exercise habits accordingly.

SourceStanford Medicine·JournalNature Biomedical Engineering·TypeObservational study·DateJan 7, 2025

Blood test can predict how long vaccine immunity will last, Stanford Medicine-led study shows

A Stanford Medicine-led study has discovered a molecular signature in the blood that can predict how long an individual's vaccine immunity will last. The signature, found in platelet RNA molecules, is associated with megakaryocyte activation in the bone marrow and can forecast longer-lasting antibody responses to various vaccines.

SourceStanford Medicine·JournalNature Immunology·TypeExperimental study·DateJan 2, 2025

Newer antiseizure drugs safe for pregnancy, Stanford Medicine-led study shows

A large multisite study found that two common antiseizure medications, lamotrigine and levetiracetam, are safe to use during pregnancy, with no statistically significant differences in cognitive and psychosocial outcomes at age 6. The study confirms these drugs offer a safe alternative to older antiseizure medications like valproate.

SourceStanford Medicine·JournalJAMA Neurology·TypeObservational study·DateDec 2, 2024

Better-prepared emergency departments could save kids’ lives cost-effectively, Stanford Medicine-led study finds

A new study by Stanford Medicine found that upgrading emergency departments to be more prepared for pediatric care could save children's lives and reduce costs. The research team analyzed data from hundreds of hospitals in 11 states and found that doing so would cut deaths of pediatric emergency patients by almost half.

SourceStanford Medicine·JournalHealth Affairs·TypeData/statistical analysis·DateOct 7, 2024

Cognitive behavioral therapy enhances brain circuits to relieve depression

A new study found that cognitive behavioral therapy can alter brain circuitry in adults with depression and obesity, leading to improved problem-solving skills and reduced symptoms. After just two months of therapy, patients showed adaptive changes in their brain circuits, which predicted long-term therapy success.

SourceStanford Medicine·JournalScience Translational Medicine·TypeRandomized controlled/clinical trial·DateSep 6, 2024

Low-impact yoga and exercise found to help older women manage urinary incontinence

A new study published in Annals of Internal Medicine found that low-impact yoga programs can significantly reduce episodes of urinary incontinence in older women, with benefits comparable to those of medications. The study also showed that stretching and strengthening exercises had similar effects.

SourceStanford Medicine·JournalAnnals of Internal Medicine·TypeRandomized controlled/clinical trial·DateSep 6, 2024

Massive biomolecular shifts occur in our 40s and 60s, Stanford Medicine researchers find

A Stanford Medicine study reveals significant biomolecular changes in the mid-40s and early 60s, affecting cardiovascular disease, immune function, and other age-related health risks. The researchers analyzed thousands of molecules and microbiomes across 108 participants, tracking rapid fluctuations in molecular abundance.

SourceStanford Medicine·JournalNature Aging·TypeObservational study·DateAug 14, 2024

Heart transplant list doesn’t rank kids by medical need, Stanford Medicine-led study finds

A Stanford Medicine-led study found that the US method for ranking children on the waitlist for heart transplants does not consistently rank patients based on their medical need. The current system prioritizes geographic location, immune compatibility, and body size over medical urgency.

SourceStanford Medicine·JournalJournal of the American College of Cardiology·TypeData/statistical analysis·DateAug 5, 2024

More Black Americans die from effects of air pollution

A new study by Stanford Medicine researchers found that Black Americans are more likely to die from causes related to air pollution compared to other racial and ethnic groups. The study attributed this disparity to a combination of factors, including socioeconomic disadvantage, education level, and geographic location.

SourceStanford Medicine·JournalNature Medicine·DateJul 22, 2024

Trial of cell-based therapy for high-risk lymphoma leads to FDA breakthrough designation

A new CAR-T cell therapy targeting CD22 has shown significant improvement in patients with large B-cell lymphoma, with over half experiencing a complete response. The therapy, which targets a different protein on the surface of cancer cells, has improved outcomes for patients who have failed previous treatments.

SourceStanford Medicine·JournalThe Lancet·TypeRandomized controlled/clinical trial·DateJul 10, 2024

Small pump for kids awaiting heart transplant shows promise in Stanford Medicine-led trial

A new implantable cardiac pump could revolutionize heart transplant care for children, allowing them to wait at home instead of in the hospital. The device performed well in a feasibility trial, with six out of seven children ultimately undergoing transplants and one child's heart recovering on its own.

SourceStanford Medicine·JournalThe Journal of Heart and Lung Transplantation·TypeExperimental study·DateMay 7, 2024

How AI improves physician and nurse collaboration

A new AI-based model at Stanford Hospital predicts patient decline and flags physicians and nurses, enhancing communication and intervention. The study saw a significant improvement in clinical outcomes, with a 10.4% decrease in deterioration events among high-risk patients.

SourceStanford Medicine·JournalJAMA Internal Medicine·TypeObservational study·DateApr 16, 2024

Generative AI develops potential new drugs for antibiotic-resistant bacteria

Researchers at Stanford Medicine and McMaster University developed a generative AI model called SyntheMol that creates recipes for chemists to synthesize novel antibiotics. The model generated six compounds with high potential to kill antibiotic-resistant bacteria, including Acinetobacter baumannii, E. coli, and MRSA.

SourceStanford Medicine·JournalNature Machine Intelligence·TypeComputational simulation/modeling·DateMar 28, 2024

Stanford Medicine-designed AI tools tackle soft tissue sarcomas, identify new treatment strategies

Researchers used machine learning tools to map distinct cellular configurations in soft tissue sarcomas, identifying correlations between cell types and clinical outcomes. The analysis uncovered three multicellular communities that correlated with patients' prognoses, potentially informing treatment decisions.

SourceStanford Medicine·JournalNature Cancer·TypeObservational study·DateMar 26, 2024