Artificial canine cadavers look and feel like the real thing

The College of Veterinary Medicine has introduced state-of-the-art artificial canine cadavers on which veterinary students can practice their surgical skills.

Global Grand Challenges event to spark faculty dialogue

Cross-campus gathering will focus on the biggest challenges facing the world, and help determine a theme on which the university will focus in the 2019-2020 academic year.

Vet College celebrates veterinary technicians and staff

The College of Veterinary Medicine celebrated staff and vet techs during Licensed Veterinary Technician Appreciation Week, Oct. 14-20.

Staff News

New tool gives deeper understanding of glioblastoma

Researchers in the lab of Charles Danko have developed a new tool to study genetic “switches” active in glioblastoma tumors that drive growth of the cancer.

Veterinarian leads implementation of international biobank standards

Dr. Marta Castelhano, senior research associate with the College of Veterinary Medicine, leads international efforts to standardize biobanks' safety.

Staff member’s legacy of kindness and inclusion inspires new award

Faculty, staff and friends celebrated the winners of the inaugural Dionne Henderson Staff Excellence Award Sept. 24 at a College of Veterinary Medicine luncheon.

Staff News

Digital agriculture initiative to tackle food security challenges

In response to the call to action for feeding an ever-growing global population, the Cornell Initiative for Digital Agriculture is taking a multidisciplinary approach to the complex challenge. 

Veterinary college aids local practice following fire

Cornell made space for Jennifer Biasillo, D.V.M. ’12, to keep her veterinary practice going after a fire.

Symposium examines the potential of machine learning in health care

The Sept. 27-28 symposium “Bridging the Divide: Machine Learning in Medicine,” held at the Cornell Lab of Ornithology, brought together researchers and clinicians from Cornell’s Ithaca campus and Weill Cornell Medicine to discuss recent work and initiate collaborations in the field of machine learning in medicine.