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By studying individual cardiac cells from heart failure patients, researchers have identified molecular signatures that point to biological mechanisms of disease.

Machine-learning model could serve as an early warning system to help public health officials prepare for future COVID-19 waves.

The collaboration will use the latest advances in machine learning to create automated methods and tools for life science researchers.

By introducing cancer-causing mutations into healthy skin cells step-by-step, ӳ����ý scientists have created models of skin cancer that can reveal the effects of mutations.

A study looking for cancer genetic dependencies suggests that disrupting phosphate regulation in cancer cells could be a therapeutic strategy.

MAESTRO allows researchers to track thousands of rare DNA mutations in a patient’s blood sample more efficiently and at lower cost.

Researchers have developed an automated method that predicts the effectiveness of viral diagnostic tests and designs optimized ones.