Disgust is one of the six basic human emotions, along with happiness, sadness, fear, anger, and surprise. Disgust typically arises when a person perceives a sensory stimulus or situation as revolting, off-putting, or unpleasant ...
Rapid and accurate intraoperative diagnosis is critical for tumor surgery and can provide precise guidance for surgical decisions. However, traditional intraoperative assessments based on H&E histology, such as frozen sections, ...
May 15, 2024
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Prediction models generated by machine learning are being increasingly used in medicine to identify risk factors and possible outcomes, especially for total joint replacements of knees and hips—although researchers warn ...
May 15, 2024
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The integration of biomarkers and patient-reported outcomes (PROs) improves prediction of interstitial cystitis (IC)/bladder pain syndrome, according to a study published online April 24 in Urology.
May 7, 2024
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Diagnosing rare Mendelian disorders is a labor-intensive task, even for experienced geneticists. Investigators at Baylor College of Medicine are trying to make the process more efficient using artificial intelligence. The ...
Apr 25, 2024
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Researchers have used artificial intelligence techniques to massively accelerate the search for Parkinson's disease treatments.
Apr 17, 2024
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Understanding heart function and disease, as well as testing new drugs for heart conditions, has long been a complex and time-consuming task. A promising way to study disease and test new drugs is to use cellular and engineered ...
Apr 8, 2024
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Hydronephrosis is a common congenital anomaly that is increasingly identified during prenatal ultrasound. Although ultrasound is also the first-line test to screen for hydronephrosis in infants, it is poor at determining ...
Apr 5, 2024
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For about 40% of people diagnosed with colorectal cancer (CRC), the tumor carries a mutation in a gene called KRAS. Many of those mutations have been linked to shorter survival and more aggressive forms of disease. The onset ...
Apr 4, 2024
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Researchers at Kyushu University have developed and validated a machine-learning model that can accurately evaluate the density of surviving tumor cells after treatment in pathological images of osteosarcoma—the most prevalent ...
Apr 2, 2024
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