Researchers at Intermountain Healthcare in Salt Lake City have received a $4.6 million grant from the National Institutes of Health to study the best ways to implement recognized standards of care to determine when ICU patients on mechanical ventilators, including those being treated for severe COVID illness, should be taken off the ventilators to resume breathing on their own.

Breast cancer is the most common cancer with the highest mortality rate. Swift detection and diagnosis diminish the impact of the disease. Researchers at Michigan Tech have developed a machine learning model for detecting breast cancer from histopathology images. In addition to classifying benign and malignant tumors, the model can evaluate the uncertainty in its predictions.

A research team led by a scholar from City University of Hong Kong (CityU) has recently developed a novel artificial intelligence (AI) framework that can make synergistic anti-cancer drug combination predictions on both the therapeutic and toxic effects. The study revealed the potential of applying AI and machine learning to discover effective combinations in therapies for cancer and other complex diseases.

A new study finds the COVID-19 pandemic has impaired people’s cognitive abilities and altered risk perception, at a time when making the right health choices is critically important.

Researchers led by the University of Tsukuba carried out simulations of large-scale structure formation in the Universe that accurately reproduce the dynamics of ghost-like particles called neutrinos left over from the Big Bang. In the demonstrated approach, an equation known as the Vlasov equation is directly solved in six dimensions, which avoids key problems associated with conventional particle-based N-body simulations. In combination with cosmological observations, this work could help to determine the unknown neutrino mass.