New approach moves cell therapy closer to treating many disorders

The study paves the way for using the novel manufacturing process and quality controls to move cell therapy production further along toward applying it in a clinic. 

New A&S dean relishes ‘life in a university’

Peter John Loewen is excited to support faculty, meet students and share the story about the value of a liberal arts education.

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NSF-funded postdocs to research education across disciplines

Engaging with a whole set of mentors will allow the CIDER postdocs to approach questions about student learning and experiences across disciplinary boundaries and use techniques from multiple fields.

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Eight early-career professors win NSF development awards

Researchers studying artificial intelligence training data and treatment of swelling linked to breast cancer are among the eight Cornell assistant professors who recently received National Science Foundation Faculty Early Career Development Awards.

Biohybrid robots controlled by electrical impulses — in mushrooms

Cornell researchers discovered a new way of controlling biohybrid robots that can react to their environment better than their purely synthetic counterparts: harnessing fungal mycelia’s innate electrical signals.

AI modeling delivers more benefits, less risk for water partnerships

Researchers found that cooperative partnerships seeking to spread the cost burden of water infrastructure projects often end up forcing local partners to bear the brunt of supply and financial risks.

Sound drives ‘quantum jumps’ between electron orbits

Cornell researchers have demonstrated that acoustic sound waves can be used to control the motion of an electron as it orbits a lattice defect in a diamond, a technique that can potentially improve the sensitivity of quantum sensors and be used in other quantum devices.

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From space to farm: readying NASA satellites to help growers

Cornell AgriTech researchers showcased digital agriculture projects during a “Space for Ag Tour” by NASA leaders to better understand the remote sensing needs of specialty crop growers.

Machine learning explains material’s thermal conductivity

Using a combination of machine learning and powerful X-rays, Cornell researchers have solved a mystery behind the unusual behavior seen in a class of materials with potential for thermoelectric energy conversion and other applications.