Study reveals new role for methotrexate in fighting cancer

A study of the dual pathways that process the essential vitamin folate unexpectedly revealed a new way the cancer drug methotrexate works and may suggest strategies to boost its cancer-killing effects.

Grad students prepare for community engaged experiences

The inaugural Engaged Graduate Student Institute brought students across campus together Nov. 9 to learn how to conduct research while making a positive impact on the community.

Weill Cornell Medicine awarded $9M grant for lymphoma research

Weill Cornell Medicine has been awarded a five-year, $9 million Program Project Grant from the National Cancer Institute to study an aggressive and incurable form of lymphoma.

Study: Smart speakers make passive listeners

People explore less when they get recommendations from voice-based platforms such as Amazon’s Alexa or Apple’s Siri, making it more likely that they’ll hear options chosen by an algorithm than those they might actually prefer.

Nine faculty members elected AAAS fellows

This year's AAAS electees from Cornell include a renowned artificial intelligence researcher, an emeritus professor who studies animal migration patterns, and a food safety expert.

Cornell expertise helps deliver clean, safe water to NYC

Millions of times each day, New Yorkers turn on the faucet, relying on water supplied from about 125 miles away in the Catskill Mountains. Cornell expertise helps to keep the award-winning water pristine.

Rethinking revenues at health care nonprofits

A new study by Sachin Gupta upends the conventional thinking about revenue streams at health care nonprofits. His new study suggests outreach clinics aimed at poor patients attract paying patients as well.

GM eggplant can reduce pesticide use in Bangladesh

Replicated field trials comparing genetically modified eggplant with their non-GM counterparts in Bangladesh have confirmed the Bt gene confers almost total protection against pests.

A stitch in simulation saves nine

A new digital tool developed by a team of researchers at Cornell and Stanford University can accurately predict how knitting patterns will turn out ahead of time – and does it about 100 times faster than existing methods.