In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
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Researchers develop new score to predict the risk of liver cancer
Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer. Published in the scientific journal ...
So much of our health is invisible even to ourselves, and one of the biggest barriers to better health is simply not knowing what's going on,' says Apple’s Steve Waydo, director for health sensing.
Sixty years after Luna 9’s pioneering journey, researchers believe they may have found the craft’s final resting place.
This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under ...
Computer scientists Maria Apostolaki, Benjamin Eysenbach, and Yasaman Ghasempour; chemists William Jacobs and Erin Stache; physicist Isobel Ojalvo; and mathematician Bartolomeo Stellato are members of ...
Generative AI tools stunned researchers by building accurate preterm birth prediction models far faster than human teams — sometimes even outperforming them. The breakthrough suggests AI could ...
AI-controlled laboratories that can run their own experiments and invent new cures could revolutionize medicine. Yet, such ...
Artificial intelligence is becoming increasingly prevalent, leading educators and researchers to raise concerns about how this new phenomenon could affect people of color.
California Lutheran University political science professor Jose Marichal discussed his new book, “You Must Become an Algorithmic Problem,” Thursday, Jan. 12, in Ullman 101. The book, Marichal’s second ...
In mid-2023, around the time Elon Musk rebranded Twitter as X, but before he discontinued free academic access to ...
Sepsis, a life-threatening response to infection, is a major cause of death in U.S. hospitals, and early treatment is critical. The flag prompted the charge nurse to instruct Hart to room the patient ...
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