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An AI tool identified people at the highest risk for pancreatic cancer up to three years before actual diagnosis.

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The National Science Foundation (NSF) announced today that it is awarding $20 million to establish the AI Institute for ARtificial and Natural Intelligence (ARNI), an interdisciplinary center led by Columbia University that will draw together top researchers across the country to focus on a national priority.

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Secondary bacterial infection of the lung (pneumonia) was extremely common in patients with COVID-19, affecting almost half the patients who required support from mechanical ventilation.

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Experts in high-performance computing and data management are gathering in Norfolk next week for the 26th International Conference on Computing in High Energy and Nuclear Physics (CHEP2023). Held approximately every 18 months, this high-impact conference will be held at the Norfolk Marriott Waterside in Norfolk, Va., May 8-12. CHEP2023 is hosted by the U.S. Department of Energy’s Thomas Jefferson National Accelerator Facility in nearby Newport News, Va. This is the first in-person CHEP conference to be held since 2019.

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The instructions for gene regulation are written in a complicated code, and scientists have turned to artificial intelligence to crack it. To learn the rules of DNA regulation, they’re using deep neural networks (DNNs), which excel at finding patterns in large datasets. DNNs are at the core of popular AI tools like ChatGPT.

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Mayo Clinic Platform is expanding its distributed data network, Mayo Clinic Platform_Connect, to include Hospital Israelita Albert Einstein in Brazil, Sheba Medical Center in Israel and University Health Network (UHN) in Canada, joining Mercy, Connect’s first member. The first-of-its-kind global alliance establishes a data-sharing network that transcends language barriers and accelerates AI-based solutions by using current data science and years of clinical data to create better patient outcomes around the world.

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University of Maryland School of Medicine (UMSOM) Dean Mark T. Gladwin, MD, announced today that Bradley A. Maron, MD, Associate Professor of Medicine at Brigham & Women’s Hospital (BWH) and Harvard Medical School (HMS), and Co-Director of the Pulmonary Vascular Disease Center at the VA Boston Healthcare System, has been appointed Co-Director of the UMB’s new Institute for Health Computing (UM-IHC), Director of Scientific Operations for the UM-IHC at UMSOM, as well as Senior Associate Dean for Precision Medicine at the UMSOM, effective May 1, 2023.

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The University of Minnesota Twin Cities received a $20 million grant from the National Science Foundation and the USDA National Institute of Food and Agriculture to lead a new research institute that will leverage artificial intelligence to help absorb and store carbon in farms and forests.

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Wistar Institute researchers have uncovered a key mechanism as to how p53 suppresses tumors.

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Digestive Disease Week (DDW) is the largest international gathering of physicians, researchers, and academics in the fields of gastroenterology, hepatology, endoscopy, and gastrointestinal surgery. DDW2023 will take place May 6-9 in Chicago and showcase 3,100 abstracts and hundreds of lectures on the latest advances in GI research, clinical practice and technology.

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Analyzing crowd-sourced sets of data used to create AI algorithms from medical images, University of Maryland School of Medicine researchers found that most did not include patient demographics and none evaluated for inherent biases. That means they have no way of knowing whether these images contain representative samples of the population such as Blacks, Asians, and Indigenous Americans.

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In APL Machine Learning, researchers develop a deep learning model to classify cancer cells by type. The tool requires only a simple microscope and a small amount of computing power, producing results on par or better than more sophisticated and complex techniques. After feeding an image into the neural network, the tool converts the data to a probability. A result lower than 0.5 categorizes the cancer as one cell type, while a number higher than 0.5 designates another. The tool reached over 94% accuracy across the data sets used in the study.

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Applying machine learning models, a type of AI, to data collected passively from wearable devices can identify a patient’s degree of resilience and well-being, according to investigators at the Icahn School of Medicine at Mount Sinai in New York. The findings, reported in the May 2nd issue of JAMIA Open, support wearable devices, such as the Apple Watch®, as a way to monitor and assess psychological states remotely without requiring the completion of mental health questionnaires.

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What if your physician could predict if—or when—you might experience a heart attack, cardiac arrest or another heart-related problem?

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Fusion energy researchers use a technique called Gas-Puff Imaging (GPI) to visualize an important phenomenon in tokamak devices involving turbulence in plasma magnetic confinement fields. This technique can generate roughly 1 million frames of visual data, far too much for humans to analyze by eye. Scientists recently tested a machine-learning based approach for analyzing GPI images. The system provides detailed, time- and space-resolved information and could aid in design and operation of future fusion power devices.

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Whenever SLAC National Accelerator Laboratory’s linear accelerator is on, packs of around a billion electrons each travel together at nearly the speed of light through metal piping. These electron bunches form the accelerator’s particle beam, which is used to study the atomic behavior of molecules, novel materials and many other subjects.