ARTIFICIAL INTELLIGENCE

The Lupus Research Alliance (LRA) is excited to announce the first-ever recipients of the Translational Bridge Award (TBA), established this year to accelerate the translation of groundbreaking research into potential…
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The evolution of gastrointestinal (GI) endoscopy has transformed CRC diagnostics since its early 20th-century origins. Initial rigid endoscopes provided limited visualization, were highly uncomfortable for patients, and only…
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One of the first studies to investigate the prevalence of unrecognized cognitive impairment among patients seen at Federally Qualified Health Centers, has found that it is ubiquitous, especially among minoritized older adults.…
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Investigators at Mass General Brigham have developed an AI-based tool to sift through electronic health records to help clinicians identify cases of long COVID, an often mysterious condition that can encompass a litany of…
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Researchers today (Nov. 8, 2024) are releasing the flagship dataset from an ambitious study of biomarkers and environmental factors that might influence the development of type 2 diabetes. Because the study participants…
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Pancreatic cancer (PC) presents substantial diagnostic challenges due to its aggressive nature and lack of early symptoms, leading to late detection and poor prognosis. According to recent cancer statistics, PC ranks as the…
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Not everyone responds equally well to treatments for inflammatory bowel disease (IBD). What will work for individual patients involves trial and error during the treatment process. Now, a team of researchers led by Charité –…
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Mount Sinai researchers have discovered for the first time a neural mechanism for memory integration that stretches across both time and personal experience. These findings, reported in Nature, demonstrate how memories stored…
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AI-driven MRI analysis offers new insights into prostate cancer prognosis, accurately predicting metastasis risk and treatment outcomes for improved patient care. Study: AI-derived Tumor Volume from Multiparametric MRI and…
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New study reveals that large language models outperform physicians in diagnostic accuracy but require strategic integration to enhance clinical decision-making without replacing human expertise. Study: Large Language Model…
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