Developing personalized vaccines for cancer via machine learning

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...

AI toolkit turns microscopy images into multi-feature microstructure datasets

A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit ...

Science for living: Can using AI risk prediction in breast cancer screening improve early detection?

Artificial intelligence is transforming medicine, but what does that mean for breast cancer screening? Researchers at UMass Chan Medical School are exploring how an AI-based tool might help identify ...

Which cell measurements matter most? AI tool helps researchers see the bigger picture

Studying gene expression in a cancer patient's cells can help clinical biologists understand the cancer's origin and predict the success of different treatments. But cells are complex and contain many ...
eLife

A proteome-wide biochemical screen defines binding determinants of the core autophagy protein LC3B

Human MAP1LC3B (LC3B) binds proteins involved in autophagy and other cellular processes using a degenerate four-residue short linear motif known as the LC3-interacting region (LIR). Biochemical and ...