In a recent study posted to the medRxiv* preprint server, a team of researchers predicts the evolution of coronavirus disease 2019 (COVID-19) mortality rates across countries using a biological ...

University of Queensland researchers have used machine learning to help predict the risk of secondary bacterial infections in hospitalized COVID-19 patients. The machine learning technique can help ...

University of Queensland researchers have used machine learning to help predict the risk of secondary bacterial infections in hospitalised COVID-19 patients. The machine learning technique can help ...

Jan. 18 (UPI) --Blood samples collected from patients with severe COVID-19 can be analyzed by a machine learning approach to predict whether they will recover and survive or die from the disease, a ...

Researchers at Evanston, Ill.-based Northwestern University used machine learning tools to analyze EHR data and find that secondary bacterial pneumonia was the major cause of death in seriously ill ...

A machine learning model trained on known coronaviruses was able to identify new viruses that could be of risk to humans. (Getty Images) An artificial intelligence model has successfully identified ...

A single blood sample from a critically ill COVID-19 patient can be analyzed by a machine learning model which uses blood plasma proteins to predict survival, weeks before the outcome, according to a ...

A study by a Penn Assistant Professor of Operations, Information, and Decisions Hamsa Bastani discovered that the application of machine learning made COVID-19 screening at Greece’s border more ...

For rare diseases, AI-driven repurposing fills a critical gap. With more than 7000 rare diseases and only a small percentage ...

Haozhi Zhang took the drive to encourage people to wear masks and practice social distancing to battle COVID-19 as a personal challenge. Zhang, a student in Northwestern Engineering's Master of ...