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Cornell Research Group Explores Potential of Machine Learning in Medicine

Medicine and artificial intelligence are ever-evolving fields at the forefront of scientific discovery. A new Cornell research group — Machine Learning in Medicine — aims to coalesce the two, with the goal of improving methods for disease detection and diagnosis. This endeavor is a collaboration between faculty at Cornell Tech and Weill Cornell Medicine, bringing together “researchers with common interests and complementary expertise.” MLIM’s work is primarily an interdisciplinary dialogue, bridging campuses and research fields. 

“The idea was to link people with a machine learning background in Ithaca to [people working with] clinical data and hypotheses at Weill,” said Prof. Amy Kuceyeski, mathematics and radiology, one of the organizing members of the group. While Kuceyeski’s background is in mathematics, she started learning methods for modeling biological systems as a postdoctoral researcher at Weill. Seeing this as an area for innovation, Kuceyeski helped establish MLIM in 2018.

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History Repeating Itself: Spread of Coronavirus Causes Panic

As the World Health Organization declared the spread of the coronavirus a “global health emergency,” more people on campus wore face masks to protect themselves from this disease. As of Thursday evening, over 200 people have died and 9,800 cases of the coronavirus have been confirmed. While there are currently six confirmed cases in the U.S., there are currently no known cases of the disease in New York state. Cornell Health is collaborating with the Tompkins County Health Department to monitor the new strain of the coronavirus, but many students are still worried. Coronaviruses were first described in the 1960s, and are named after the “crown” of sugary proteins that stick out of them.

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Sustainability in Fashion — Clothes Can Be Eco-Friendly, Too

Most classrooms are equipped with blue recycling bins. But as the threat of climate change looms, sustainability practices should go beyond just paper and plastic, Prof. Tasha Lewis, fiber science and apparel design, says. Her research — about brands’ behavior and the significance of social responsibility — is at the forefront of creating a sustainable fashion industry, echoing a broader movement towards more eco-friendly apparel. Recent protests led by the Cornell Vegan Society, for instance, pushed Cornellians to think about the ethical implications of their clothing choices. “Working in the industry opened my eyes to many of the sustainability and ethical issues involved with fashion,” Lewis said, whose work in the apparel sector after graduate school inspired her to take up this cause.

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Superconductivity? Stress is the Answer For Once

Superconductivity, the phenomenon in which the electrical resistance of a material suddenly drops to zero when cooled below a certain temperature, has been a scientific curiosity ever since its discovery in the early 20th century.