Patricia Waldron

1 month ago | news.cornell.edu | Patricia Waldron

While some students were writing their last final exam, others were playing theirs – demoing their video games for friends, family and gamers at the Game Design Initiative at Cornell’s (GDIAC) 2025 Games Showcase, held May 17, 1-4 p.m. in the Physical Sciences building. More than 475 people attended the event to try out the new games and vote for their favorite.

1 month ago | medicalxpress.com | Patricia Waldron

Telling the difference between benign and cancerous thyroid nodules before surgery is notoriously challenging, but a new study finds that a combination of artificial intelligence and data analysis techniques may yield surprisingly accurate cancer predictions. The proof-of-concept study was conducted by researchers from the Cornell Ann S. Bowers College of Computing and Information Science and the Icahn School of Medicine at Mount Sinai.

1 month ago | phys.org | Patricia Waldron

Tuberculosis is the world's deadliest infectious disease, due in part to its ability to hide out for years in the lungs before starting an infection. Now, a new computational method developed by researchers at Cornell sheds light on how going dormant—sometimes for multiple generations—has affected the evolution of the tuberculosis bacterium (Mtb) and other organisms that can temporarily drop out of the gene pool.

1 month ago | news.cornell.edu | Patricia Waldron

Telling the difference between benign and cancerous thyroid nodules before surgery is notoriously challenging, but a new study finds that a combination of artificial intelligence and data analysis techniques may yield surprisingly accurate cancer predictions. The proof-of-concept study was conducted by researchers from the Cornell Ann S. Bowers College of Computing and Information Science and the Icahn School of Medicine at Mount Sinai.

1 month ago | techxplore.com | Patricia Waldron

For delivery robots, not all sidewalks are created equal—some are uneven or clogged with people and bus shelters—so researchers at Cornell Tech developed a "robotability score" and rated every street in New York City on how hospitable it would be to robots. Their rating system is the first of its kind, researchers said, and may help urban planners and robotics companies plan for future robot deployments that won't disrupt existing sidewalk environments.