University of Texas Medical Branch at Galveston researchers have developed a powerful visual analytical approach to explore genetic data, enabling scientists to identify novel patterns of information that could be crucial ...
Jun 12, 2012
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A slip of paper at the nurses' station indicated a certain medication dose was due for a patient. Dallas Fulton knew better. Actually, his hand-held computer knew better.
Jul 12, 2013
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Patient safety issues related to electronic health records (EHRs) persist long after the 'go live' date, concludes research published online in the Journal of the American Medical Informatics Association.
Jun 20, 2014
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New developments in technology may provide tools to help patients and health care providers make cost-informed decisions and connect patients to additional resources if they cannot afford their prescribed medications, say ...
Apr 13, 2022
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(HealthDay)—Although telehealth video visits offer users greater convenience, they risk fragmenting care without greater coordination with usual care providers, according to a study recently published in the Journal of ...
Apr 15, 2019
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Hailed for its ability to erase distance between health care providers in cities and patients in rural areas, telehealth has ironically enabled medical care to continue in a time when we all must keep our distance.
Sep 9, 2020
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Correctly diagnosing a person with cancer—and identifying the specific type of cancer—makes all the difference in successfully treating a patient.
Apr 23, 2015
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UCLA researchers find that they can electronically recruit patients for biomedical research at rates up to 40 times higher than the traditional method of patient portal messages by embedding study recruitment into the pre-appointment ...
Aug 25, 2023
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There may be good news for the nearly 1 million people battling ulcerative colitis, a type of inflammatory bowel condition with no real cure: Statins, a commonly prescribed cholesterol-lowering drug, seem to be an effective, ...
Sep 16, 2021
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In machine learning, generative adversarial networks (GANs) involve two artificial neural networks squaring off, one, the generator, trying to delude the other, the discriminator, into accepting synthetic data as real. Beyond ...
Nov 11, 2019
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