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Molecular analysis of extracellular vesicles (EVs) in human bile samples could accurately detect patients with cholangiocarcinoma from patients with other benign or inflammatory conditions.
Researchers have developed and validated a deep learning–based method to detect Alzheimer’s disease based on routinely collected clinical brain images.
The COVID-19 pandemic introduced major challenges to the care of cancer patients, and imaging was one of the aspects that was severely impacted.
Mass General researchers detail the pathway to developing “zero error” ML systems that do not make unsafe prediction errors.
Investigators study changes in routine population health metrics may serve as early warnings of future crises.
The method can easily be repurposed for new problems using explainable artificial intelligence (xAI).
Congratulations to the 44 Mass General Investigators Named to the 2022 Highly Cited Researchers List
Researchers sought to identify specific tumor presentations for which either protons or plaques provided significantly better sparing of critical eye structures.
The team's findings indicate findings indicate that mitochondrial surface coating with artificial lipid membrane is feasible and may improve the therapeutic efficacy of mitochondria allograft.
The COVID-19 pandemic has severely impacted breast cancer screening, diagnoses, and treatment. Shinn-Huey Shirley Chou, MD, MPH, shares how critical it is to continue screening and mammography care because early detection saves lives.