Antibiotic Resistance

Could artificial intelligence help doctors determine at the start of treatment if a child has an antibiotic-resistant infection? A study by researchers from Ariel University and Clalit Health Services found that machine learning models using existing medical record data can accurately assess the risk of infections caused by ESBL-producing bacteria.

In an era of rising antibiotic resistance, researchers at Indiana University have secured $2.2 million in grants. The funding aims to develop new strategies to combat infections, potentially paving the way for the next generation of antibiotic drugs.