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Jennifer Bradford and Matthew Metherell consider the success and potential of artificial intelligence in clinical research and the impact of machine learning on clinical trials…
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Artificial intelligence (AI) and machine learning are driving a great deal of the healthcare innovation in precision medicine, according to a new Chilmark Research report. The report reveals…
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Computer model predicts worsening cognitive scores, opening door to the use of machine learning in the selection of participants in Alzheimer’s disease trials. One of…
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There’s no human instinct more basic than speech, and yet, for many people, talking can be taxing. 1 in 14 working-age Americans suffer from voice…
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Pharmacovigilance (PV), the process of identifying, tracking, evaluating and preventing negative outcomes from drug therapies, is a sector that has seen huge growth in recent…
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Master’s student and Marshall Scholar Kyle Swanson uses computer science to help make drug development more efficient. Pharmaceutical companies spend a lot of time testing…
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By Kellie Rademacher, Pharm.D., Precision for Value Former FDA Commissioner Dr. Scott Gottlieb stressed the need for modernizing the clinical trials process in a speech…
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Machine learning reveals metabolic pathways disrupted by the drugs, offering new targets to combat resistance. Most antibiotics work by interfering with critical functions such as…
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IBM Watson Health is diverting resources from its AI drug discovery service due to insufficient demand and poor financial performance, according to industry reports. IBM…