Rev: Ithaca Startup Works puts new entrepreneurs through their paces

Over 10 weeks, 22 teams of would-be entrepreneurs developed products ranging from multilingual children's toys to innovative greenhouse hoops for small-scale farmers.

$10M gift from Seneca Foods will support the Cornell Food Venture Center

The gift from the Seneca Foods Foundation will help food producers of all sizes bring their products to market.

Model offers insights into Parkinson’s disease process

A new preclinical model offers a unique platform for studying the Parkinson’s disease process and suggests a relatively easy method for detecting the disease.

Immune cell switch could control inflammation

Cornell researchers have identified a switch that regulates inflammation caused by an immune response, a finding that could one day help to control inflammation-related conditions. 

Study confirms mammal-to-mammal avian flu spread

A new study provides evidence that a spillover of avian influenza from birds to dairy cattle across several U.S. states has now led to mammal-to-mammal transmission – between cows and from cows to cats and a raccoon.

Cornell online certificate trains leaders in health care compliance

Kristen Underhill, a professor of law and associate dean for faculty research at Cornell Law School, shares her expertise with learners in the Healthcare Law certificate program from eCornell.

Around Cornell

Fish biodiversity benefits nutrition, particularly for lower income people

Households in Cambodia caught and consumed a far more diverse array of fish than they sold at market, highlighting how biodiversity loss might affect people’s nutrition, especially for those with lower incomes. 

NIH grant awarded to investigate how immune system can banish HIV

Weill Cornell Medicine has received $4.2 million to study how the immune system in some people infected with HIV can keep the virus under control, which could lead to new therapies.

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.