The DASPO-group for data analysis and survival in personalized sarcoma at the Mathematical Institute has developed an app that provides personalised predictions for patients suffering from soft tissue sarcomas. Due to the ...
Jan 17, 2018
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Tracking human demographic, climate, and environmental data may help scientists predict and prioritize areas with high risk for mosquito-borne diseases, according to new research.
Dec 13, 2018
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Duke researchers are investigating whether data from your smartphone and smartwatch can help determine if you have COVID-19 and how severe the infection could get. Their work has the potential to help avoid future pandemics, ...
Jan 28, 2022
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Researchers from the Neuroscience Center at Children's Hospital of Philadelphia (CHOP) have developed a prediction model that determines which newborn babies are likely to experience seizures in the Neonatal Intensive Care ...
Mar 22, 2023
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As a patient recovers from a wound, a doctor may watch over them, monitoring the healing process and prescribing treatments based on the body's responses. But a wide variety of factors including diet, age, or diseases such ...
Dec 19, 2022
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Models built on machine learning in health care can be victims of their own success, according to researchers at the Icahn School of Medicine and the University of Michigan. Their study assessed the impact of implementing ...
Oct 9, 2023
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A new study reveals that certain changes to models that predict the risk of developing cardiovascular problems in the general population can help clinicians improve risk prediction in individuals with kidney disease. The ...
Feb 10, 2022
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(HealthDay)—A new prediction model identifies eosinophilic asthma without the need for sputum induction, according to a study published online Dec. 28 in Allergy.
Jan 4, 2017
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Patients who, perhaps unbeknownst to their health care providers, are in need of genetic testing for rare undiagnosed diseases can be identified en masse based on routine information in electronic health records (EHRs), a ...
Jun 3, 2021
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A Massey University team has developed new ways of predicting disease-hot spots, created by humans changing the environment, to help identify where and how society can mitigate the risk of infectious disease emergence, such ...
Dec 10, 2018
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