Google’s Gemma-based C2S-Scale model helped Yale find a drug combo that boosts tumor antigen presentation, pointing to a new ...
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Google’s C2S-Scale 27B foundation model, developed in partnership with Yale University and based on the Gemma framework, has ...
Google's AI model discovers new pathways to turn "cold" tumors into immune-visible "hot" ones, potentially making untreatable ...
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Scientists identify markers of key stem cell populations driving colorectal cancer formation
Researchers from A*STAR Institute of Molecular and Cell Biology (A*STAR IMCB) have identified markers of two critical stem ...
The aim of immunotherapy strategies is to leverage cells in the patient's own immune system to destroy tumor cells. Using a ...
New research has identified markers of two critical stem cell populations that drive colorectal cancer formation.
The hypothesis was generated by a 27-billion-parameter foundation model called Cell2Sentence-Scale 27B (C2S-Scale), developed by researchers at Google DeepMind and Yale University. Built on Google's ...
This foundation model has not only decoded cellular language but has also generated and experimentally validated a new ...
Scientists have discovered that bacteria living inside tumors can produce a molecule that fights cancer and enhances ...
Early studies on mice suggest these diets may hinder some people with obesity fighting triple-negative breast cancer.
Genetic information in cancer cells reveals the strength of cancer–immune interactions in an individual-based stochastic model, which captures explicit interactions between cancer and effector cells.
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