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Using AI to trace the origins of metastatic cancer cellsA large team of cancer researchers affiliated with several institutions in China, working with a pair of colleagues in the U.S., has found that artificial intelligence applications can be used to trace the origins of metastatic cancer cells in remote parts of the body.... Read more
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Geneticists develop world's first bioinformatic tool to identify amyloids consisting of multiple copies of same proteinScientists from St Petersburg University and the University of Montpellier have developed the first software enabling the prediction of pairs of proteins in amyloid fibrils capable of co-aggregation, i.e. a process by which proteins become attached to one another. Their studies have shown an accuracy of more than 94%. The... Read more
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Clinical recommendations for newer diabetes treatmentsA new guideline from the American College of Physicians (ACP) offers clinical recommendations for the use of newer pharmacological treatments of adults with type 2 diabetes. This is an update of ACP's 2017 guideline and is based on the best available evidence for effectiveness, comparative benefits and harms, consideration of... Read more
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Researchers reduce bias in pathology AI algorithms and enhance accuracy using foundation modelsAdvanced artificial intelligence (AI) systems have shown promise in revolutionizing the field of pathology by transforming the detection, diagnosis, and treatment of disease; however, the underrepresentation of certain patient populations in pathology datasets used to develop AI models may limit the overall quality of their performance and widen health disparities.... Read more
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New heart disease calculator could save lives by identifying high-risk patients missed by current toolsCollaborative research, led from the University of Oxford and published today in Nature Medicine, has developed a new tool called QR4 that more accurately predicts an individual's 10-year risk of cardiovascular diseases, such as heart disease and stroke, particularly identifying high-risk patients that current prediction tools miss.... Read more
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Large genomic study finds tri-ancestral origins for Japanese populationA multi-institutional team of geneticists and genomic and genotyping specialists in Japan has sequenced the genomes of thousands of Japanese people from across the country, looking to settle the debate surrounding the ancestry of the Japanese people.... Read more
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AI tool predicts responses to cancer therapy using information from each cell of the tumorWith more than 200 types of cancer and every cancer individually unique, ongoing efforts to develop precision oncology treatments remain daunting. Most of the focus has been on developing genetic sequencing assays or analyses to identify mutations in cancer driver genes, then trying to match treatments that may work against... Read more
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Study finds ChatGPT shows promise as medication management tool, could help improve geriatric health carePolypharmacy, or the concurrent use of five or more medications, is common in older adults and increases the risk of adverse drug interactions. While deprescribing unnecessary drugs can combat this risk, the decision-making process can be complex and time-consuming. Increasingly, there is a need for effective polypharmacy management tools that... Read more
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Plasma metabolite biomarker could help identify who is at risk of a heart attackMyocardial infarction, more commonly known as a heart attack, is a leading cause of death worldwide. Biomarkers called plasma metabolites may play a key role in the physiological pathways involved in myocardial infarctions. Recently published research used a methodological approach called bidirectional Mendelian randomization to understand more about these biomarkers... Read more
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AI beats doctors in accurately assessing eye problemsThe clinical knowledge and reasoning skills of GPT-4 are approaching the level of specialist eye doctors, a study led by the University of Cambridge has found.... Read more
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AI speeds up drug design for Parkinson's by ten-foldResearchers have used artificial intelligence techniques to massively accelerate the search for Parkinson's disease treatments.... Read more
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Using machine learning to identify patients with cancer that would benefit from immunotherapyA new study examines the development of two machine learning models to classify the immunophenotype of a cancer specimen.... Read more
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Risk for second primary breast cancer low in certain young breast cancer patientsYoung breast cancer (BC) survivors (40 years or younger) without a pathogenic variant (PV) have a low risk for developing second primary BC (SPBC), according to a study published online April 11 in JAMA Oncology.... Read more
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Multidisciplinary research team creates computational models to predict heart valve leakage in childrenAn innovative new field of research holds the promise for pediatric cardiologists and heart surgeons to predict the future structural integrity of a child's heart valves so they can perform the best possible surgery today.... Read more
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How AI improves physician and nurse collaboration to boost patient careWith large language models that take notes during patient visits and algorithms that identify disease, artificial intelligence has begun to prove its worth as an assistant for physicians. But a new study from Stanford Medicine shows the potential of AI as a facilitator—one that helps doctors and nurses connect to... Read more