AI developed for early detection of cardiovascular disease, diabetic eye conditions, and cancer

Researchers at Edith Cowan University (ECU) have developed a cutting-edge Artificial Intelligence (AI) system that could support medical professionals in detecting and accurately diagnosing the stage of disease in a range of serious health conditions, including cardiovascular disease (CVD), diabetic eye complications, and cancer.
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Antimicrobial resistance surveillance project delivers life-saving impacts, study shows

A research project led by the Ineos Oxford Institute for antimicrobial research (IOI) to study the cause and impact of antimicrobial-resistant sepsis in Nigeria has resulted in reduced newborn deaths, improved awareness about neonatal infection prevention among parents, and strengthened capacity and training for local doctors. The findings have been published in Nature Communications.
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Predicting kidney disease trajectories with a simple blood test

Autosomal dominant polycystic kidney disease (ADPKD) is the most common inherited condition that can lead to kidney failure. Being able to accurately predict how the disease will progress is very important for selecting the right treatments and providing effective patient counseling. However, the currently available prediction tools aren’t very accurate and require MRI images or genetic exams, which are not always available.
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