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Please check out extraordinary quotes Doris Duke Foundation amplifying new CMSS report on race & clinical algorithms, in partnership w/Moore Foundation & National Academy of Medicine. Clear roadmap for action by specialty societies, AI/ML, and others. Join us on webinar 12/12 at 12PM ! Info to follow

This qualitative study of #AI dataset stakeholders developed a readiness framework to consider when creating health datasets for #machinelearning research, incorporating data quality expectations and providing added context about researchers’ needs. ja.ma/46KKQnv

1/3 5 Guiding Principles to Address the Impact of Algorithm Bias on Racial & Ethnic Disparities in Health & Health Care JAMA Network Open supported by AHRQ Health Disparities 1) Promote health & healthcare equity during all healthcare algorithm life cycle phases; jamanetwork.com/journals/jaman…

Celebrating the collective achievements of a remarkable team effort! I hope these guiding principles, establish a foundation for more equitable AI in healthcare. Algorithm Bias and Racial and Ethnic Disparities in Health and Health Care jamanetwork.com/journals/jaman…

Corticosteroid use for patients with severe COVID-19 increased globally, but varied across regions and was most evident in Europe, where most trial participants were recruited. Geographic research representativeness may affect guideline implementation. ja.ma/3v8fN86

Great work on AI ready datasets! I was thrilled to work with the exceptional team on this project!

Exciting news from our latest study! We developed a ML model to predict depression risk in cancer patients. There's so much more work to do! #CancerCare #MentalHealth #MachineLearning #HealthTechhttps://medinform.jmir.org/2024/1/e51925

The White House cited our JAMA Network Open paper on guiding principles to address algorithmic bias supported by AHRQ Health Disparities whitehouse.gov/briefing-room/…

Learned a lot from my colleagues in small group assigned to Synthetic Data in NIH workshop on Ethical Framework for AI in Biomedical and Behavioral Research Transparency for Data and Model Reuse

The White House highlighted our recent work in the Jan Fact Sheet on guiding principles for AI in Health! whitehouse.gov/briefing-room/…

Introducing Evo: a long-context biological model based on StripedHyena that generalizes across DNA, RNA, and proteins. It is capable of prediction tasks and generative design, from molecular to whole genome scale (over 650k tokens in length). together.ai/blog/evo

Our latest study showcases the power of international collaboration, developing predictive models for post-surgery outcomes with unparalleled generalizability using the OHDSI network academic.oup.com/jamia/article-… Catherine Curtin

Happy to be a part of this exciting work and the ethical discussions that follow! In new work, we lay a vision for a biological foundation model that unites DNA, RNA, and protein modalities and operates at molecular, systems, and genome levels of scale. arcinstitute.org/manuscripts/Evo

Thrilled to stand alongside the remarkable Amy Cuddy Fans Club in a power pose at Harvard's Executive Leadership Course! Harnessing leadership energy and insights to transform visions into realities. #Leadership #Harvard #ExecutiveCourse #PowerPose

So proud of our future chief Sulaiman Somani for winning the Young Investigator Award for Outcomes Research at #ACC2024

Thank you AHRQ for the continued support and recognition in the field! Analyzing Big Datasets to Improve Healthcare Quality, Equity ahrq.gov/funding/grante…

What do we mean by diversity in data in genetics, and how should we achieve the benefits it is designed to bring? Piece in Nature Genetics out today, summarizing a new GA4GH policy framework. A thread. rdcu.be/dTpfu

Lack of diverse genomic data holds back progress & contributes to health disparities. In collaboration with the GA4GH, we developed a framework to guide researchers. Let’s take action for health equity! rdcu.be/dTqdm #Genomics #HealthEquity #DiversityInResearch #AI

This morning we hosted Professor Hernandez- Boussard, Associate Dean of Research from Stanford as our Grand Rounds speaker. A wonderful presentation and lively discussion of the role and intersection of AI and Novel Informatics Technologies in Healthcare. Thank you Tina Hernandez-Boussard

From identifying trends in opioids to predicting depression in cancer patients, Tina Hernandez-Boussard, PhD, is at the forefront of data-driven health care. Learn how her innovative approaches are paving the way for equitable personalized medicine. domannualreports.stanford.edu/the-data-drive…