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Curated tech Twitter/X posts on AI, startups, and product development—signal without the doomscroll, updated on weekdays.
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Sophont CEO @iScienceLuvr reveals how Holon-S1 matched a medical team's findings from expensive molecular tests in a rare bone cancer case, using just a biopsy slide: "We looked at a patient with a rare type of bone cancer called osteosarcoma. Our model wasn’t actually trained on osteosarcoma, but it was able to extract a lot of biological insights that this patient’s medical team had also observed. That medical team had utilized very expensive molecular tests." "We were able to identify this…
Cancer patients with the same diagnosis often have very different tumor biology. Molecular testing can reveal underlying differences, but that's slow and expensive. Introducing Holon-S1, our platform to predict genes and biomarkers from routine pathology slides. • beats two other models at predicting spatial gene activity in a controlled comparison • has identified potentially novel biomarkers in breast cancer and colon cancer • evaluated across 16 organ types and more than 15 scanners, using slides from both formalin-fixed, paraffin-embedded and fresh-frozen tissue. We believe Holon-S1 has the potential to help researchers find new biomarkers in slides they already have, discover treatment targets, and bring more personalized cancer care within reach!