The latest developments in AI and ML for healthcare from our team of world-leading researchers, PhD students, and collaborators at the University of Cambridge.
Clinicians around the globe are experiencing increasing pressure to determine the best recipient for each organ that becomes available. AI and ML can help clinicians make more informed decisions for patients on the wait list.
One in 2,500 children in the UK is born with cystic fibrosis, a hereditary condition that causes the lungs to become clogged up with thick, sticky mucus. The condition tends to decrease life expectancy among patients.
A unified, end-to-end pipeline for time-series data, primarily developed to aid clinical research and decision support. Clairvoyance can also be used in non-medical contexts, thanks to its ability to facilitate complex inference workflows in a transparent, reproducible, and efficient manner.