Diseases, Conditions, Syndromes

Using machine learning to battle COVID-19 bacterial co-infection

University of Queensland researchers have used machine learning to help predict the risk of secondary bacterial infections in hospitalized COVID-19 patients. The research is published in The Lancet Microbe.

Oncology & Cancer

AI harnesses tumor genetics to predict treatment response

In a study published in Cancer Discovery, scientists at University of California San Diego School of Medicine leveraged a machine learning algorithm to tackle one of the biggest challenges facing cancer researchers: predicting ...

Medications

Study suggests key to antipsychotic-drug–induced obesity

An increased concentration of the hormone leptin in fat cells is believed to be responsible for weight gain associated with antipsychotic drugs, according to research led by UT Southwestern Medical Center. The study, published ...

Medications

Treating tuberculosis when antibiotics no longer work

Researchers have identified new antibiotic molecules that target Mycobacterium tuberculosis and make it less pathogenic for humans. In addition, some of the discovered substances may allow for a renewed treatment of tuberculosis ...

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