Patricia Waldron

1 week 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 week 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 week 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.

2 weeks 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.

2 weeks ago | techxplore.com | Patricia Waldron

Artificial intelligence-based writing assistants are popping up everywhere—from phones to email apps to social media platforms. But a new study from Cornell—one of the first to show an impact on the user—finds these tools have the potential to function poorly for billions of users in the Global South by generating generic language that makes them sound more like Americans.