Medical devices review calls for immediate action on unfair biases to prevent patient harm
A report published Monday, 11 March 2024, details the findings of the Independent Review of Equity in Medical Devices.
Mar 12, 2024
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A report published Monday, 11 March 2024, details the findings of the Independent Review of Equity in Medical Devices.
Mar 12, 2024
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Jointly developed by investigators of the Vall d'Hebron Institute of Oncology's (VHIO) Radiomics Group and the Bellvitge University Hospital's Neuroradiology Unit, the Diagnosis in Susceptibility Contrast Enhancing Regions ...
Mar 11, 2024
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Southwest Research Institute (SwRI) is using markerless motion capture to identify musculoskeletal injury risks in military service members during specialized training. A study published in the journal Frontiers in Bioengineering ...
Mar 11, 2024
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User data from Google, YouTube, and other online platforms can be used to predict, prevent, and even mitigate loneliness, potentially lowering the risk of suicide for at-risk individuals, according to a Rutgers study.
Mar 7, 2024
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Beckman Institute for Advanced Science and Technology researchers Jonathan Sweedler, a professor of chemistry, and Fan Lam, a professor of bioengineering, have outlined how spatial omics technologies can reveal the molecular ...
Mar 5, 2024
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Medical diagnostics expert, doctor's assistant, and cartographer are all fair titles for an artificial intelligence model developed by researchers at the Beckman Institute for Advanced Science and Technology.
Mar 4, 2024
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Metastases are largely responsible for the death rate of patients with solid cancers; the prognosis of cancer patients reduces significantly if metastases are diagnosed. Until now there has been no procedure available to ...
Mar 4, 2024
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Age-appropriate chores and responsibilities are an important part of a child's development.
Mar 4, 2024
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A form of artificial intelligence called large language modeling (LLM), the same technology behind ChatGPT, could someday improve liver cancer care by extracting important data from medical charts much faster than humans, ...
Mar 1, 2024
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A team of UC Davis Health clinicians and data scientists has developed a machine-learning model to better predict which patients are at greater risk of developing a common type of liver cancer, hepatocellular carcinoma (HCC).
Feb 29, 2024
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