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Year1958

Key PeopleFrank Rosenblatt

Foundation ForDeep Learning, CNNs, Transformers

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AI Models Breakthrough: Predicting Sepsis Risk in Children

Researchers develop and validate AI models that can accurately identify children at high risk for sepsis within 48 hours, enabling early preemptive care. This groundbreaking study, led by Dr. Elizabeth Alpern, marks a significant advancement in pediatric emergency medicine.

Health3 sources

AI Models Breakthrough: Predicting Sepsis Risk in Children

Health3 sources

AI-Powered CellTransformer Creates Most Detailed Mouse Brain Map to Date

Researchers from UCSF and Allen Institute have developed an AI model called CellTransformer, which has created one of the most detailed maps of the mouse brain, featuring 1,300 regions and subregions. This breakthrough combines AI and neuroscience to advance our understanding of brain structure and function.

Science4 sources

AI-Powered CellTransformer Creates Most Detailed Mouse Brain Map to Date

Science4 sources

AI Breakthrough: Designing Elusive Intrinsically Disordered Proteins

Researchers develop a novel machine learning method to design intrinsically disordered proteins, overcoming limitations of current AI tools like AlphaFold. This breakthrough could revolutionize synthetic biology and disease research.

Science3 sources

AI Breakthrough: Designing Elusive Intrinsically Disordered Proteins

Science3 sources

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