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About 1.5 billion people worldwide carry a risk of conditions including malnutrition because of parasitic infection, and AI could help identify those affected ....
Sunny skies and warm weather brought many of the students at the University of Idaho outside to enjoy the day. Many of them played beer dice or were tossing around a football or baseball in front of their respective houses on Greek Row. Even though the weather didn’t last long,… ....
Credit: Ulf Sirborn Using artificial intelligence and mobile digital microscopy, researchers hope to create screening tools that can detect precursors to cervical cancer in women in resource-limited settings. A study led by researchers at Karolinska Institutet in Sweden now shows that AI screenings of pap smears carried out with portable scanners were comparable to analyses done by pathologists. The results are published in the journal JAMA Network Open. Our method enables us to more effectively discover and treat precursors to cervical cancer, especially in low-income countries, where there is a serious lack of skilled pathologists and advanced laboratory equipment, says corresponding author Johan Lundin, professor at the Department of Global Public Health, Karolinska Institutet. ....
AI method can detect precursors to cervical cancer miragenews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from miragenews.com Daily Mail and Mail on Sunday newspapers.
Date Time AI predicts efficacy of breast cancer treatment directly from tumor architecture Researchers from the University of Helsinki have demonstrated the possibilities of artificial intelligence-based algorithms in predicting the efficacy of a targeted cancer therapy based on the tumour tissue architecture only, without specific molecular tests. The results suggest that AI can reveal previously hidden patterns in tumour samples and allow discovery of novel tumour features predictive of outcome and efficacy of treatment. Artificial intelligence (AI) in the form of machine learning is increasingly used in cancer research and holds great potential in support of medical diagnostics. Algorithms have already been trained to tackle many complicated tasks such as detection of cancerous tissue and tumour grading. Also, prediction of disease outcome directly from a tumour sample without expert interpretation has shown promising results. ....