How much can you learn from the shape of a red blood cell? In our latest publication, we augment the decades-old sickling test with Octopi, a low-cost automated microscope, and classify disease state based on cell morphology. Paper: www.nature.com/articles/s44... Dataset: doi.org/10.20383/103...

Morphology-based screening for sickle cell disease using low-cost automated microscopy and machine learning - npj Digital Public Health

npj Digital Public Health - Morphology-based screening for sickle cell disease using low-cost automated microscopy and machine learning

nature.com

“Give a person a fish and you feed them for a day; teach them to fish and you feed them for a lifetime” With ODION and Octopi, we’re building a platform that lets anyone create AI-powered diagnostics for the diseases that matter most locally. Connect with us if interested at ODION.org

Prakash Lab at Stanford@prakashlab.bsky.social · 6mo ago

12 years in the making - we are finally scaling up our “universal diagnostics” platform. m.youtube.com/watch?v=gbeg... Read about the global program here: news.stanford.edu/stories/2026... If you are passionate about bringing cutting edge tools to work for “everyone” - reach out and engage.

After all the anticipation - FrugalScience 2026 - a collaborative global collective is LIVE again for 2026 season. www.frugalscience.org Apply - deadline 9th January (midnight)