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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Researchers from Lund University in Sweden have identified distinct molecular signatures associated with the clinical signs of sepsis that could provide more accurate diagnosis and prognosis of sepsis, as well as help to ...
Mar 29, 2024
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Worldwide, approximately 4.5 million people die of traumatic injury every year. Many of these patients die from blood loss.
Mar 26, 2024
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Many children announce their arrival in the delivery room with a piercing cry. As a newborn automatically takes its first breath, the lungs inflate, the blood vessels in the lungs widen, and the whole circulatory system reconfigures ...
Mar 13, 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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