Two bioinformatics experts have used AI to accurately estimate regional COVID infection rates, aka seroprevalence, in all 50 states and 50 hard-hit countries.

The plan is to draw health data from every available source to continuously nudge individuals toward not only appropriate medical care but also healthier lifestyles.

Computer engineers have produced a deep learning framework for very quickly fine-tuning vaccines to fight emerging variant strains of COVID-19.

AI has proven capable of automatically detecting looming heart trouble on CT scans taken for lung issues like lung cancer, pulmonary embolism and pneumonia.

Researchers have used deep learning software to accurately detect age-related cognitive impairment using only photos of patients’ faces.

The idea is to head off serious gathering threats without getting thrown off the scent by strains unlikely to proliferate.

AI melanoma detectors that equaled or bettered dermatologists in clinical trials have stumbled on the way to the real world of patient care. 

The tools could be used by primary care providers to head off adverse respiratory events and suboptimal healthcare utilization.