Researchers at Mount Sinai Hospital have demonstrated that a machine learning-based model enables medical institutions to predict mortality risk for individual cardiac surgery patients.
Scientists at Cleveland-based Case Western Reserve University have used artificial intelligence (AI) to identify biomarkers contained in naturally occurring collagen that could predict whether breast cancer will return after treatment. Identified from standard tissue biopsy slides of early-stage breast cancer, collagen-based assays could also be less expensive than gene expression-based assays typically conducted at highly specialized labs in California.
TORONTO – “With COVID-19 it’s not been an easy time to raise capital.” In virtually the same breath Joshua Liu, CEO of Toronto-based health-tech startup SeamlessMD Inc. credited the pandemic with nudging investors to spend CA$4 million (US$3 million) to grow his company’s cloud-based patient engagement app, boosting a library of digital plans for surgery, cancer and chronic care and adding machine learning-based risk prediction to remote patient monitoring.