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Deadly diarrhea-causing contaminants may go undetected in flawed testing methodsNew research has uncovered critical gaps in an emerging global public health tool for detecting environmental fecal contamination—which is linked to life-threatening diarrheal diseases that cause 1.2 million deaths each year.... Read more
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Neural waves study provides evidence that brain's rhythmic patterns play key role in information processingResearchers at the Ernst Strüngmann Institute in Frankfurt am Main, Germany, led by Wolf Singer, have made a new discovery in understanding fundamental brain processes. For the first time, the team has provided compelling evidence that the brain's characteristic rhythmic patterns play a crucial role in information processing. While these... Read more
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AI accelerates search for new tuberculosis drug targetsTuberculosis is a serious global health threat that infected more than 10 million people in 2022. Spread through the air and into the lungs, the pathogen that causes "TB" can lead to chronic cough, chest pains, fatigue, fever and weight loss. While infections are more extensive in other parts of... Read more
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AI tool converts data into 2D circular images, offering new way to visualize diseaseMayo Clinic researchers have pioneered an artificial intelligence (AI) tool, called OmicsFootPrint, that helps convert vast amounts of complex biological data into two-dimensional circular images. The details of the tool are published in a study in Nucleic Acids Research.... Read more
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AI and neural networks can reduce wait times for lesion classification in breast cancer patientsOne of the most agonizing experiences a cancer patient suffers is waiting without knowing: waiting for a diagnosis, waiting to get test results back, waiting to learn the outcome of treatment protocols. A new paper published in Scientific Reports evaluates the use of artificial intelligence (AI) and neural networks to... Read more
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Testing AI with AI: Ensuring effective AI implementation in clinical practiceUsing a pioneering artificial intelligence platform, Flinders University researchers have assessed whether a cardiac AI tool recently trialed in South Australian hospitals actually has the potential to assist doctors and nurses to rapidly diagnose heart issues in emergency departments.... Read more
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Did COVID-19 prediction formulas miss something? New study suggests yesA new study published by an interdisciplinary team of researchers, including several from the University of Florida, suggests prediction models used by decision makers in attempting to control the spread of COVID-19 were incomplete.... Read more
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AI tool helps find life-saving medicine for rare diseaseAfter combing through 4,000 existing medications, an artificial intelligence tool helped uncover one that saved the life of a patient with idiopathic multicentric Castleman's disease (iMCD). This rare disease has an especially poor survival rate and few treatment options. The patient could be the first of many to have their... Read more
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Modeling study shows school closures' varied impact on COVID-19 outcomes across 74 countriesSchool closures reduced the impact of COVID-19 in most countries but had negative effects in some, Monash University-led research encompassing 74 countries has found.... Read more
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Physician's medical decisions can benefit from chatbot, study suggestsArtificial intelligence-powered chatbots are getting pretty good at diagnosing some diseases, but how do chatbots do when the questions are less black-and-white? For example, how long before surgery should a patient stop taking prescribed blood thinners? Should a patient's treatment protocol change if they've had adverse reactions to similar drugs... Read more
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How is AI influencing the field of medicine?The words "artificial intelligence" are now ubiquitous, their influence having risen dramatically in recent years and their impact being felt in health care and many other job sectors. In health care, artificial intelligence, or AI, has the potential to make drug discovery faster and cheaper and improve diagnoses and treatments.... Read more
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Preeclampsia prediction models lose accuracy after initial 48 hours, study findsThe existing prediction models for severe complications of preeclampsia are most accurate only in the two days after hospital admission, with deteriorating performance over time, according to a study published February 4 in the open-access journal PLOS Medicine by Henk Groen of University of Groningen, the Netherlands, and colleagues.... Read more
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Computational tool extracting disease-specific drug response signatures could improve cancer treatment discoveriesA new computational tool could help researchers identify promising drug combinations for treating cancer, according to a new study.... Read more
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Machine learning helps identify emergency department patients likely to have health-related social needsAddressing patients' health-related social needs such as housing instability, food insecurity, transportation barriers and financial strain is important to improving health outcomes, yet can be challenging. A recent study from Regenstrief Institute and Indiana University Indianapolis Richard M. Fairbanks School of Public Health investigates the best approach to predicting likely... Read more
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AI-supported breast cancer screening—new results suggest even higher accuracyNew research results now published from Lund University's MASAI trial are even better than the initial findings from last year: AI-supported breast screening detected 29% more cases of cancer compared with traditional screening. More invasive cancers were also clearly detected at an early stage using AI. Now the final part... Read more