City of Hope and UC Berkeley researchers teach AI to spot cancer risk by squeezing individual breast cells
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Updates every hour. Last Updated: 13-Jun-2026 11:16 ET (13-Jun-2026 15:16 GMT/UTC)
UCLA Health researchers are seeking to develop a new wearable technology to catch one of the earliest but often overlooked signs of autism and other developmental conditions in infants. The study is supported by a $3.1 million grant from the National Institute of Neurologic Disorders and Stroke.
Kyoto, Japan -- Recently, while analyzing strong-motion data close to fault lines, a group of researchers at Kyoto University noticed something unexpected: a negative phase in the waveforms, a pattern that did not conform to the existing interpretations of rupture dynamics. Its regular appearance in the records near rupture end points suggested that the team might be seeing something new.
"This study originated from a broader effort to better understand near-fault seismic recordings and interpret them in terms of the earthquake source process," says first author Jesse Kearse. The researchers believed the repeated negative phase may represent an essential and previously overlooked component of the earthquake process, and were determined to figure out what was behind the mysterious regular dips.
The team's method combined observed ground motion with model predictions. They first analyzed near-field strong-motion acceleration records that had been carefully corrected for instrument noise. They then used satellite-based data to validate their ground-based measurements, and for the last step, simulated earthquake propagation and the abrupt arrest of rupture with numerical dynamic rupture models.
A new report released today by Change Chemistry and the Sustainable Chemistry Catalyst at the UMass Lowell outlines why government incentives are critical to helping businesses scale more sustainable chemicals — and how those incentives can reduce risk, unlock investment, and enable real market adoption.
Kristen Billiar, a professor in the Department of Biomedical Engineering, will try to determine what turns those risk factors into disease as part of a $15 million multi-center initiative that is funded by the American Heart Association [LE1] and focused on early detection and prevention of heart valve disorders.
A new type of chatbot could reliably help people decide what to do about their symptoms — and do so based on guidance that is both medically sound and easy to understand. Designed to improve self-triage, the chatbot could help reduce unnecessary hospital visits and ensure that those who need care seek it sooner.