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.
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Cognitive behavioral therapy app improves anxiety in young adults
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.
SciAI Center, Pasteur Labs partner to reshape human-AI collaboration
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.
Machine learning helps define subtypes of Parkinson’s disease
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.
Jamey Edwards ’96 MBA ’03 is on a mission to fix healthcare
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.
Successful Artificial Intelligence Event Inspires Large Audience on May 29
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.
Through research and education, Bowers CIS is shaping fairer, ethical AI
In its world-class research and teaching, Cornell Bowers CIS is uniquely positioned to guide tomorrow’s innovators as they dive into issues of ethics, fairness and privacy, while weighing the policy implications of technological advances.
AI may improve doctor-patient interactions for older adults with cancer
Researchers have developed an AI tool that uses machine learning and large language models to identify treatment options based on patients’ diagnoses, demographic information and priorities.