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A Cornell-led collaboration developed machine-learning models that use these cell-free molecular RNA dregs to diagnose pediatric inflammatory conditions that are difficult to differentiate. The diagnostic tool can accurately determine if a patient has Kawasaki disease (KD), Multisystem Inflammatory Syndrome in Children (MIS-C), a viral infection or a bacterial infection, while simultaneously monitoring the patient’s organ health.
Integrating artificial intelligence into today’s environmental control systems could reduce energy consumption for indoor agriculture by 25% – potentially helping to feed the world as its population rises, Cornell engineers have found.
Researchers have uncovered DNA markers associated with retroelements, remnants of ancient viral genetic material, in our genes that act as highly accurate epigenetic clocks predicting chronological age.
Researchers at Weill Cornell Medicine and NewYork-Presbyterian found that a self-guided cognitive behavioral therapy app significantly reduced anxiety in young adults struggling with mental health challenges.
Cornell Engineering’s Scientific Artificial Intelligence Center has partnered with Pasteur Labs, an alumnus-founded startup, to establish new research projects in human-AI collaboration for scientific discovery and industrial applications.
Researchers at Weill Cornell Medicine have used machine learning to define three subtypes of Parkinson’s disease based on the pace at which the disease progresses.
The newest episode of the Startup Cornell podcast features Jamey Edwards ’96 MBA ’03, president & chief strategy officer at Koko Home, a company providing radar driven, AI-enabled solutions for healthcare and an Entrepreneur in Residence of StartUp Health, which was founded in 2011 to invest in global health entrepreneurs.
The Emerging Tech Dialogues event on May 29, 2024 — the first in a new series — drew more than 750 registrations from Cornell, Weill Cornell Medicine, and Cornell Tech faculty, staff, students, and researchers — all interested in exploring Artificial Intelligence in Higher Education, the symposium’s theme.
