Selecting a site will automatically redirect you to the site's homepage.
A novel cancer therapeutic, combining antibody fragments with molecularly engineered nanoparticles, permanently eradicated gastric cancer in treated mice, a multi-institutional team of researchers found.
An interdisciplinary collaboration used a materials science approach to “fingerprint” calcium mineral deposits that reveal pathological clues to the progression of breast cancer and potentially other diseases.
The Cornell chapter of the National Society of Black Engineers is celebrating Black History Month with a variety of events expected to be well attended thanks to the student organization’s recent efforts to boost membership and revitalize its programming.
A new all-dry polymerization technique uses reactive vapors to create thin films with enhanced properties that could lead to improved polymer coatings for microelectronics, advanced batteries and therapeutics.
From new approaches for tendon injury treatment to biomass-based construction materials, Cornell Engineering’s inaugural Sprout Awards are funding unique research projects with the potential to grow partnerships across Cornell.
Twelve Cornell and Weill Cornell Medicine faculty members – six of whom are also Cornell alumni – have been elected fellows of the American Association for the Advancement of Science, the world’s largest general scientific society.
A novel combination of artificial intelligence and production techniques could change the future of nanomedicine, according to Cornell researchers using a new $3 million grant from the National Science Foundation to revolutionize how polymer nanoparticles are manufactured.
The funding will support preliminary disease-related research, in the latest in a series of efforts to create new opportunities for interdisciplinary research.
For their work inventing heart-assist devices and biomaterials for tissue regeneration, respectively, Cornell Engineering professors James Antaki and Yadong Wang have been elected fellows of the National Academy of Inventors.
A Cornell-led collaboration used machine learning to pinpoint the most accurate means, and timelines, for anticipating the advancement of Alzheimer’s disease.
