A recent study in Nature Medicine, entitled “An automated histological classification system for precision diagnostics of kidney allografts,” has showcased the efforts of a group of researchers who have developed an automated system that…
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Researchers at the University of Göttingen in Germany have developed a cell culture chamber that lets them culture tissue samples, mimic the mechanical conditions that tissues experience in various disease states, and closely monitor…
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By Hannah Nelson
May 23, 2023 – Vendor-derived EHR use metrics likely underestimate the time clinicians spend on after-hours EHR work, according to an article published in The Annals of Family Medicine.
EHR vendors Epic and Cerner…
Nathan Sommerford, Global Lead for Drug Discovery and Development, IQVIA
In an interview with HIT Consultant, Nathan Sommerford, Global Lead for Drug Discovery and Development, IQVIA talks how unlocking artificial intelligence (AI) in drug repurposing…
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Explainable artificial intelligence (XAI) has emerged as a promising solution for addressing the implementation challenges of AI/ML in healthcare. However, little is known about how developers and clinicians interpret XAI and what conflicting goals…
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About half of ransomware attacks have disrupted healthcare delivery among the largest hospitals and healthcare systems, according to a JAMA study published earlier this year. But at smaller and medium-sized providers, often with tighter security budgets and…
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Researchers at the University of Colorado at Boulder and the National Institute of Standards and Technology (NIST) have developed a laser-based breathalyzer technology that can detect molecules in breath samples that indicate the presence…
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Researchers at MIT have developed a method that allows them to analyze the three dimensional interactions of sections of the genome in unprecedented detail. The technique could let scientists investigate the origin and progression…
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Scientists at the University of Minnesota have developed a method to detect misfolded proteins more rapidly and sensitively. The technique could eventually allow clinicians to diagnose diseases that involve misfolded proteins more easily, including…
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In machine learning (ML), association patterns in the data, paths in decision trees, and weights between layers of the neural network are often entangled due to multiple underlying causes, thus masking the pattern-to-source relation,…
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