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A multicenter study has identified a potential new treatment for acute heart failure, a leading cause of hospitalization and death.

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Machines can learn not only to make predictions, but also to handle causal relationships. An international research team shows how this could make therapies safer, more efficient, and more individualized.

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Warning letters can safely cut prescribing of a powerful but risky antipsychotic, according to a new study. Researchers used Medicare data to study the effects of the letters on hundreds of thousands of older adults with dementia. They found a significant and lasting reduction in prescribing but no signs of adverse effects on patient health.

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Cleveland Clinic researchers developed an artficial intelligence (AI) model that can determine the best combination and timeline to use when prescribing drugs to treat a bacterial infection, based solely on how quickly the bacteria grow given certain perturbations. PNAS recently published their findings.

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Conditions such as diabetes, heart attack and vascular diseases commonly diagnosed in people with spinal cord injuries can be traced to abnormal post-injury neuronal activity that causes abdominal fat tissue compounds to leak and pool in the liver and other organs, a new animal study has found.

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A thin film that combines an electrode grid and LEDs can both track and produce a visual representation of the brain's activity in real-time during surgery -- a huge improvement over the current state of the art. The device is designed to provide neurosurgeons visual information about a patient's brain to monitor brain states during surgical interventions to remove brain lesions including tumors and epileptic tissue.

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Researchers have published results of a phase I clinical trial of a novel immunotherapy for high-risk sarcomas.

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If a patient is successfully resuscitated after a cardiac arrest and circulation resumes, they are not out of the woods yet. A number of factors can influence whether and how they survive the trauma in the subsequent phase. The administration of the anaesthetic midazolam has a positive effect, as shown by a multicenter study of 571 patients.

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A new study highlights the lasting financial impact of a cancer diagnosis for many working-age adults and their families in the United States. It shows a cancer diagnosis and the time required for its treatment can result in employment disruptions, loss of household income and loss of employment-based health insurance coverage, leading to financial hardship.

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Digital memory test and a blood sample -- this combination will be tested for its potential to identify early Alzheimer's disease in a new research study. Over a hundred healthcare centers are part of the study that is now inviting participants to sign up. At least 3,000, preferably many more participants are needed for the study to be successful.

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Atrial fibrillation is the most common cardiac arrhythmia worldwide with around 59 million people concerned in 2019. This irregular heartbeat is associated with increased risks of heart failure, dementia and stroke. It constitutes a significant burden to healthcare systems, making its early detection and treatment a major goal. Researchers have recently developed a deep-learning model capable of predicting the transition from a normal cardiac rhythm to atrial fibrillation. It gives early warnings on average 30 minutes before onset, with an accuracy of around 80%. These results pave the way for integration into wearable technologies, allowing early interventions and better patient outcomes.

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Scientists are developing and validating a patent-pending novel immunotherapy to be used against glioblastoma brain tumors. Glioblastomas are almost always lethal with a median survival time of 14 months. Traditional methods used against other cancers, like chemotherapy and immunotherapy, are often ineffective on glioblastoma.

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State-of-the-art artificial intelligence systems known as large language models (LLMs) are poor medical coders, according to researchers. Their study emphasizes the necessity for refinement and validation of these technologies before considering clinical implementation. The study extracted a list of more than 27,000 unique diagnosis and procedure codes from 12 months of routine care in the Mount Sinai Health System, while excluding identifiable patient data. Using the description for each code, the researchers prompted models from OpenAI, Google, and Meta to output the most accurate medical codes. The generated codes were compared with the original codes and errors were analyzed for any patterns.

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Primary health care, conditional cash transfers and social pensions have prevented 1.4 million deaths of all ages in Brazil over the past two decades, according to a new study. If expanded, these programs could avert an additional 1.3 million deaths and 6.6 million hospitalizations by 2030.

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Researchers have developed a new shoe insole technology that helps reduce the risk of diabetic foot ulcers, a dangerous open sore that can lead to hospitalization and leg, foot or toe amputations.

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In a discovery that could hasten treatment for patients with multiple sclerosis (MS), scientists have discovered a harbinger in the blood of some people who later went on to develop the disease.

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Researchers have identified a potential new treatment for persistent neurological symptoms of Lyme disease, commonly seen even after antibiotic use. The study found that fibroblast growth factor receptor inhibitors, previously studied in cancer, significantly reduced inflammation and cell death in infected brain and nerve tissues.

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Monitoring and treating a case of multiple sclerosis requires reliable and long-term data on how the disease is progressing in the person in question. Fitness trackers and smartphones can supply this data, as a research team has now shown.

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The US saw a 22% decline in rates of prescription-opioid overdose related emergency department (ED) visits in children 17 and younger between 2008 and 2019, but an uptick in the early part of the COVID-19 pandemic, according to a new study. The authors also note that rates of pediatric opioid overdoses remain high in many populations.

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A study has found that the AI model GPT-4 significantly exceeds the ability of non-specialist doctors to assess eye problems and provide advice.