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Unique AI predicts cancer prognoses and responses to treatment by combining data from medical images with textThe melding of visual information (microscopic and X-ray images, CT and MRI scans, for example) with text (exam notes, communications between physicians of varying specialties) is a key component of cancer care. But while artificial intelligence helps doctors review images and home in on disease-associated anomalies like abnormally shaped cells,... Read more
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Using AI to predict the outcome of aggressive skin cancersArtificial intelligence can determine the course and severity of aggressive skin cancers, such as Merkel cell carcinoma (MCC), to enhance clinical decision making by generating personalized predictions of treatment-specific outcomes for patients and their doctors.... Read more
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AI tool uncovers gender disparity in heart disease diagnosisWomen may be missing a diagnosis of a potentially deadly heart condition due to guidelines that don't account for natural differences in sex and body size, according to a new study led by UCL researchers.... Read more
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Wellness Inventory receives empirically valid 'gold star': Researcher discusses assessment tool in Q&AMargaret "Peggy" Swarbrick has spent her career helping people help themselves.... Read more
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Hospitals' AI tools under scrutiny for accuracy and biasNew research from the University of Minnesota School of Public Health sheds light on how hospitals in the U.S. are using artificial intelligence to perform daily tasks.... Read more
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Building digital twins and hearts: New technology could predict various health outcomesImagine having a digital carbon copy of yourself that physicians could use to predict long-term risks for disease, assess how your body may respond to treatment, and simulate surgeries in advance. A virtual twin may sound as far-fetched as robotic surgery and self-driving cars once did, but researchers are studying... Read more
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Explainable AI techniques reveal ideal follicle sizes for successful IVF treatmentsDuring IVF treatment, doctors use ultrasound scans to monitor the size of follicles—small sacs in the ovaries containing eggs—to decide when to give a hormone injection known as the "trigger" to prepare the eggs for collection and ensure that they are ready to be fertilized with sperm to create embryos.... Read more
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AI shows promise in predicting the progression of autoimmune diseaseAutoimmune diseases, in which the immune system mistakenly attacks the body's own healthy cells and tissues, often include a preclinical stage before diagnosis that's characterized by mild symptoms or certain antibodies in the blood. However, in some people, these symptoms may resolve before culminating in the full disease stage.... Read more
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AI diagnostics can ease health crisis in war-torn SudanSudanese health authorities are turning to AI to strengthen health systems after dozens of doctors were killed in the country's almost two-year-long civil war, according to a senior official.... Read more
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AI uses simple glucose monitor data to predict and identify subtypes of type 2 diabetesDiabetes has long been lumped into two categories—type 1, which often appears in childhood, or type 2, which is associated with obesity and typically develops later in life. But scientists have learned that not all patients with type 2 diabetes are the same, with some patients varying in body weight,... Read more
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New AI tool uses routine blood tests to predict immunotherapy response for many cancersDoctors around the world may soon have access to a new tool that could better predict whether individual cancer patients will benefit from immune checkpoint inhibitors—a type of immunotherapy—using only routine blood tests and clinical data.... Read more
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Digital heart twin offers potential new tool for treating dangerous heart rhythmsUsing computers to make a digital replica of the heart—a digital heart twin—can successfully identify problem areas deep in the heart muscle of people with a serious heart rhythm disorder, a new study finds. The research lays the groundwork for a new way of treating a life-threatening condition often caused... Read more
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Machine learning and climate data offer new insights into dengue forecastingDengue is a mosquito-borne disease which infects about 390 million people globally each year. Case numbers have grown steadily in recent years, with the most severe outbreaks occurring in tropical regions of South America. To better predict how the disease spreads, it will be vital for researchers to fully understand... Read more
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Augmented triage tool can better assess children with traumatic injuriesWest Virginia University pediatric trauma specialists and statisticians have formulated a measure to more accurately assess children with traumatic injuries to ensure they receive the most effective life-saving treatment.... Read more
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Will AI revolutionize drug development? Researchers explain why it depends on how it's usedThe potential of using artificial intelligence in drug discovery and development has sparked both excitement and skepticism among scientists, investors and the general public.... Read more