diseases

Research highlights the potential of plant-derived compounds in addressing chronic conditions like obesity, diabetes, and cardiovascular disease by targeting inflammation, oxidative stress, and microbiota imbalances. Study: …
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A MedUni Vienna study has identified a new approach to the drug treatment of metabolic liver diseases. In an experimental study, pharmacological inhibition of an enzyme that plays a central role in fat metabolism promoted…
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if (g_displayableSlots.mobileTopLeaderboard) { pushDisplayAd(function() { googletag.display('div-gpt-mobile-top-leaderboard'); }); } University of PennsylvaniaDec 11 2024 A Penn Medicine-led consortium of…
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Researchers uncover varying links between added sugar sources—like sweetened drinks, treats, and toppings—and risks for conditions such as heart failure, stroke, and aneurysms. Study: Added sugar intake and its associations…
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if (g_displayableSlots.mobileTopLeaderboard) { pushDisplayAd(function() { googletag.display('div-gpt-mobile-top-leaderboard'); }); } European Economic and Social Committee (EESC)Dec 2 2024 The EESC high-level…
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A new study introduces the Proteome-Wide Association Study Hub, an innovative and powerful tool designed to explore gene-disease connections across ninety-nine common diseases. Leveraging machine learning and statistical…
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Using machine learning, researchers have developed a way to predict the total number of microbes in our gut from sequencing data, revealing that microbial density, influenced by factors like age and diet, is a major…
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A new multi-national study has revealed that the shape of the heart is influenced in part by genetics and may help predict the risk of cardiovascular diseases.  Researchers from Queen Mary University of London, King's College…
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A low-sugar diet in utero and in the first two years of life can meaningfully reduce the risk of chronic diseases in adulthood, a new study has found, providing compelling new evidence of the lifelong health effects of…
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Many statistical models and algorithms used by scientists can be imagined as a "black box." These models are powerful tools that give accurate predictions, but their internal workings are not easily interpretable or…
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