After a patient has a heart attack or stroke, doctors often use risk models to help guide their treatment. These models can calculate a patient's risk of dying based on factors such as the patient's age, symptoms, and other ...
Jan 23, 2020
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Dr. Wim Melis from the University of Greenwich is working on deconstructing and reconstructing audio signals with extremely high accuracy.
Jul 19, 2019
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Crying is, for babies, the earliest way of expressing and communicating needs like hunger, pain, discomfort or tiredness. Apart from that, the cry is an acoustic signal containing information that provides insights into the ...
Jul 09, 2019
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New research from the University of Kansas shows machine learning is capable of identifying insects that spread the incurable disease called Chagas with high precision, based on ordinary digital photos. The idea is to give ...
Jun 20, 2019
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Specialized risk scores derived from testing that calculates the cumulative effect of an individual's entire DNA sequence, the genome, may reliably predict heart disease in people who have not yet had a heart attack, according ...
Jun 11, 2019
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An international research team has developed a new method for determining cell types in a tissue sample. The scientists determined the link between the activity of genes in the same cell type and made a model capable of "recognizing" ...
May 28, 2019
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By analyzing data from hundreds of patients with asymptomatic Waldenström macroglobulinemia (AWM), researchers at Dana-Farber Cancer Institute have devised a risk model for determining whether patients with AWM have a low, ...
Apr 23, 2019
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Researchers at the University of North Carolina School of Medicine used MRI brain scans and machine learning techniques at birth to predict cognitive development at age 2 years with 95 percent accuracy.
Mar 15, 2019
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Using technology similar to the type that powers facial and speech recognition on a smartphone, researchers at the University of North Carolina Lineberger Comprehensive Cancer Center have trained a computer to analyze breast ...
Nov 19, 2018
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(HealthDay)—Magnetic resonance (MR) imaging is accurate in differentiating T1 or lower tumors from T2 or higher tumors among patients with bladder cancer, according to a review published in the February issue of Radiology.
Jan 29, 2018
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