Our Cancer AI Alliance is up for Health Innovation of the Year for the Seattle-based Geekwire awards!
www.geekwire.com/events/2025-...
@fredhutch.bsky.social is very proud to represent our Alliance - we'd love your vote for the hard work being done by all of the people involved!
Posts by Vivek Sriram
You can read an overview of our paper at my personal biomedical data science blog, [VS]Codes, here: viveksriram.com/posts/gxs-pa.... Subscribe to my blog for more insights here: vsriram24.substack.com/subscribe
Our study delves into how sex-specific genetic factors shape associations between diseases, revealing fascinating differences in disease interactions across the sexes. Huge thanks to Dokyoon Kim, @yyahn.bsky.social , and Jakob Woerner for their help and support in getting this work published!
π Exciting News! π I'm delighted to share our recent publication, "The interplay of sex and genotype in disease associations: a comprehensive network analysis in the UK Biobank," in Human Genomics: rdcu.be/d6XPj.
Love how all the visualizations look! Thanks for sharing this @tladeras.bsky.social
You can read a summary of my notes from the panels that I attended and my key takeaways in my latest post on [VS]Codes, my personal biomedical data science blog, right here: vsriram24.github.io/posts/stanfo...
#HealthAI #AIinMedicine
This past week, I had the incredible opportunity to attend the fourth annualΒ Stanford AI + Health Conference hosted by Stanford AIMI. From responsible AI and generative models to the future of health data governance, I came away inspired by the innovation and challenges shaping the field.
You can give my most recent post, an overview on the concept of "data democratization," at vsriram24.github.io/posts/data-d....
You can also subscribe to my blog and get updates on my new posts directly in your inbox at vsriram24.substack.com/subscribe!
Hello Bluesky, and welcome to my headspace! Iβm excited to share my biomedical data science blog, [VS]Codes, at vsriram24.github.io/blog.html.
I cover a variety of topics in health data science / ML, mixed with technical tutorials, my (n-of-1) professional advice, and some miscellaneous detours.