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Using self-supervised machine learning to map the circuit diagram of tumor biology and develop new immunother­a­pies for cancer

AI is revo­lu­tion­izing drug and ther­a­peu­tics discovery, but the supervised learning approaches that have dominated up to now — which depend on data labeled by human experts — aren’t scalable. Noetik is generating the hundreds of terabytes of genomic, tran­scrip­tomic, and proteomic data on cells and tissues that will be needed to power self-supervised, transformer-based predictive modeling in the realm of cancer immunotherapy. The company’s platform helps identify novel targets for ther­a­peu­tics and predicts how patients will respond.

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