An AI-powered, virtual platform is being developed to improve care for patients living with genetic disorders, as part of a Digital Health CRC project led by Peter MacCallum Cancer Centre and the Swinburne University of Technology. The online cloud-based platform, named GENIE, will initially focus on familial cancers and cardiac conditions, providing patients with guidance on...
Category: <span>Artificial Intelligence</span>
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Artificial intelligence identifies the shortest path to human happiness
DEEP LONGEVITY LTD VIDEO: FUTURSELF IS A FREE ONLINE MENTAL HEALTH SERVICE THAT OFFERS GUIDANCE BASED ON A PSYCHOLOGICAL PROFILE ASSESSMENT BY AI. THE CORE OF FUTURSELF IS REPRESENTED BY A SELF-ORGANIZING MAP THAT CLASSIFIES RESPONDENTS AND IDENTIFIES THE MOST SUITABLE WAYS TO IMPROVE ONE’S WELL-BEING CREDIT: FEDOR GALKIN Today, Deep Longevity, in co-authorship with Nancy...
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Radiologists, AI systems show differences in breast-cancer screenings, new case study finds
by New York University In these three examples of soft tissue lesions, the images are unperturbed on the left column and blurred on the right column. The AI system was sensitive to the blurring, while the radiologists were not. This showed that the AI system relies on details in soft tissue lesions that are considered...
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AI may detect earliest signs of pancreatic cancer
by Cedars-Sinai Medical Center Pancreatic cancer cells (blue) growing as a sphere encased in membranes (red). Credit: National Cancer Institute An artificial intelligence (AI) tool developed by Cedars-Sinai investigators accurately predicted who would develop pancreatic cancer based on what their CT scan images looked like years prior to being diagnosed with the disease. The findings,...
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AI may detect earliest signs of pancreatic cancer
CEDARS-SINAI MEDICAL CENTER An artificial intelligence (AI) tool developed by Cedars-Sinai investigators accurately predicted who would develop pancreatic cancer based on what their CT scan images looked like years prior to being diagnosed with the disease. The findings, which may help prevent death through early detection of one of the most challenging cancers to treat,...
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Using artificial intelligence to diagnose cancer
by Victoria University of Wellington Credit: Pixabay/CC0 Public domain During her Ph.D., Dr. Qurrat Ul Ain developed a computer-aided diagnostic system that can identify certain characteristics of the disease from a photograph of a skin lesion. “Skin cancer has certain unique visual features that help to differentiate it from normal skin,” Dr. Qurrat Ul Ain...
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An AI model can help predict adverse events from new drug combinations
by American Association for Cancer Research Credit: Unsplash/CC0 Public Domain Preliminary data from an artificial intelligence model could potentially predict side effects resulting from new combination therapies, according to results presented at the AACR Annual Meeting 2022, held April 8-13. “Clinicians are challenged by the real-world problem that new combination therapies could lead to unpredictable...
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New AI-driven algorithm can detect autism in brain ‘fingerprints’
by Adam Hadhazy, Stanford University Credit: Unsplash/CC0 Public Domain Stanford researchers have developed an algorithm that may help discern if someone has autism by looking at brain scans. The novel algorithm, driven by recent advances in artificial intelligence (AI), also successfully predicts the severity of autism symptoms in individual patients. With further honing, the algorithm...
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AI processes brain electrical activity to diagnose depression, mind-control gadgets, and more
by Skolkovo Institute of Science and Technology Spatial distribution of electrical activity on the scalp. The left and right picture represent how two different components extracted from the same EEG signal might look. Credit: Gurgen Soghoyan et al./Frontiers in Neuroinformatics Researchers from Skoltech, HSE University, and the RAS Institute of Higher Nervous Activity and Neurophysiology...
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AI REVEALS LINK BETWEEN FAMILY HISTORY AND TYPE 1 DIABETES RISKS
MARCH 28TH, 2022; POSTED BY ERIC STANN-MISSOURI “Type 1 diabetes is not a single disease that looks the same for everybody—it looks different for different people,” says Tallon. “By analyzing real-world data, we can better understand risk factors that may cause someone to be at higher risk for developing poor health outcomes.” UNIVERSITY OF MISSOURI...