Current trial-and-error approaches may force patients to suffer through severe depression for months, leading to loss of employment, marriage or life. 

One specialist described the findings as "revolutionary," noting that the system could help save health systems significant money. 

Industry researchers challenged a machine learning model to predict failure to heal at four, eight and 12 weeks after initial treatment.

Researchers have used unsupervised machine learning to predict disease-causing properties in more than 36 million genetic variants across more than 3,200 disease-related genes.

The model’s developers suggest algorithmic prognoses could be aggregated to guide overdose prevention at the local, county and regional levels.

New research shows horizontal gene transfer is predictable in bacteria by machine learning, a development that could lead to better weapons in the war against E. coli and other bacterial assailants that collaborate to conquer pharmacologic first responders.  

Could AI help produce a unifying concept of human disease—one that might help prevent, mitigate or cure everything from birth defects and rare cancers to immune disorders and neurological defects?

The AI development team was guided by a sports-medicine specialist dubbed “the go-to orthopedic surgeon for many of the greatest athletes on the planet.”