Researchers from MIT and Harvard developed a new approach to antibiotic discovery using a type of artificial AI called deep learning. So far, their model has identified eight antibacterial compounds that differ in structure from known antibiotics.
Throughout 2019, the transformation of diagnostic technology has been centered around machine learning, maximizing patient value, and the needs of those with chronic ailments and diseases. As technology advances, so does the ability to diagnose and treat, whether in the ICU or over the phone.
This year’s AACC meeting included 300 educational opportunities in the form of lectures, plenary sessions, scientific sessions, and roundtable sessions. Lab automation, sepsis, HIV, infectious disease biomarkers, machine learning, artificial intelligence, and data science took center stage at the educational sessions.