machine learning

Researchers are rooting through the concoction of compounds in exhaled breath vapor for metabolic manifestations of COVID-19 and cancer.

Advances in computation and artificial intelligence help scientists identify novel antibiotics encoded within human proteins and create new ones.

Researchers developed a continuously updated database to help computational models screen combinatorial drugs for evasive diseases.

Learn how scientists integrate computational biology and experimental data to accelerate antibody drug development.

Armed with a machine learning and systems biology approach, John Tsang studies how past infections and vaccinations shape an individual’s immune response to future vaccines.

A bioengineer mines the biometric data from smartwatches and smartphones to find digital biomarkers for respiratory infections like COVID-19.

Machine learning paired with single-cell analysis helps scientists identify pathways that cause disease and potential therapeutics.

Researchers use machine learning to identify generic drugs that are promising candidates for affordable and accessible cancer treatments.

Beyond the buzz, is AI just another research tool?

Findings showed that Previse could predict the onset of AKI up to 48 hours in advance of onset, sooner than the standard hospital systems like XGBoost AKI prediction model and the Sequential Organ Failure Assessment (SOFA).