In bioinformatics and drug discovery, are used to predict how strongly a drug candidate will bind to a target protein .
MLSBF is an intensive, project-based learning initiative for students and early-career professionals seeking to apply modern machine learning techniques to systems biology and biomedical data science. Over the course of the program, participants gain hands-on experience with transcriptomics, spatial biology data, and time-series modeling of biological processes. With a curriculum co-designed by computational biologists and ML engineers, MLSBF emphasizes reproducibility, interpretability, and real-world biological validation — equipping attendees with skills to bridge the gap between data science and life sciences research. In bioinformatics and drug discovery, are used to
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