Machine Learning Takes On Antibiotic Resistance Quanta Magazine

Once-powerful antibiotics are losing their efficacy at a disconcerting pace as bacteria evolve immunity to our drugs. At least 700,000 people around the world now die each year from infections that could formerly be treated with antibiotics. A report last year from the United Nations Interagency Coordination Group on Antimicrobial Resistance warned that if no new major advances are made by 2050, mortality could leap to 10 million deaths a year. What makes this prognosis all the more dire is that the antibiotic pipeline has slowed to a trickle. In the past two decades, only a few new antibiotics have been found that kill bacteria in novel ways, and rising resistance is a problem for all of them.