Medicine
Medicine

Medicine

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New hope for early pancreatic cancer intervention via AI-based risk prediction

MIT CSAIL researchers develop advanced machine-learning models that outperform current methods in detecting pancreatic ductal adenocarcinoma.

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How an archeological approach can help leverage biased data in AI to improve medicine

Although computer scientists may initially treat data bias and error as a nuisance, researchers argue it’s a hidden treasure trove for reflecting societal values.

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How to help high schoolers prepare for the rise of artificial intelligence

A one-week summer program aims to foster a deeper understanding of machine-learning approaches in health among curious young minds.

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Supporting sustainability, digital health, and the future of work

The MIT and Accenture Convergence Initiative for Industry and Technology selects three new research projects to support.

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MIT researchers combine deep learning and physics to fix motion-corrupted MRI scans

The challenge involves than just a blurry JPEG. Fixing motion artifacts in medical imaging requires a more sophisticated approach.

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How machine learning models can amplify inequities in medical diagnosis and treatment

MIT researchers investigate the causes of health-care disparities among underrepresented groups.

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AI model can help determine where a patient’s cancer arose

Predictions from the OncoNPC model could enable doctors to choose targeted treatments for difficult-to-treat tumors.

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Generative AI imagines new protein structures

MIT researchers develop “FrameDiff,” a computational tool that uses generative AI to craft new protein structures, with the aim of accelerating drug development and improving gene therapy.

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Gamifying medical data labeling to advance AI

MIT alumnus’ platform taps the wisdom of crowds to label medical data for AI companies.

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Is medicine ready for AI? Doctors, computer scientists, and policymakers are cautiously optimistic

With the artificial intelligence conversation now mainstream, the 2023 MIT-MGB AI Cures conference saw attendance double from previous years.