Precision Medicine

Also called personalized medicine, this evolving field makes use of an individual’s genes, lifestyle, environment and other factors to identify unique disease risks and guide treatment decision-making.
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AI-based company to study 1M physician shifts for causes of burnout

In an effort to understand the ongoing physician burnout crisis, Lightning Bolt Solutions, a company that offers AI-based, physician shift scheduling technology, is attempting to study one million physician shift hours.

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Primary care follow-up within 7 days of hospital discharge reduces readmissions, cost

New research published in JAMA suggests primary care follow-up within seven days of a hospitalization is associated with fewer Medicaid readmissions.

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Gum disease may be cause of Alzheimer’s

A seemingly harmless disease could actually be a cause of Alzheimer’s disease, according to a recent study reported by BBC News.

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Machine learning IDs biomarkers for Alzheimer’s disease

Researchers at the University of Southern California Viterbi School of Engineering have utilized machine learning to detect clusters of potential biomarkers of Alzheimer’s disease. This will allow for earlier diagnosis and could potentially lead to non-invasive methods of tracking the progression of the disease in impacted patients. Findings were published in the journal Frontiers in Aging NeuroScience.

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RSNA launches AI radiology journal

The Radiological Society of North America (RSNA) has published the first issue of its new online journal focusing solely on AI in radiology.

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Anthem pushes up PBM launch date

Anthem, the nation’s second-largest health insurer, is planning to push up the launch date of its new pharmacy benefit manager (PBM) business, the company announced during its end-of-year earnings report.

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University of Oxford, British AI company partner to study chronic diseases

British clinical AI company Sensyne Health and the University of Oxford’s Big Data Institute are partnering to establish a research alliance focused on using AI and digital technology to better understand chronic diseases.

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Researchers use AI to develop clinical prediction model

Using an AI-based method, researchers at Cardiff University in Cardiff, Wales, developed a clinical prediction model, according to a study published in PLOS One. The model showed it can provide an accurate and reliable prognosis for patients with cardiovascular disease when compared to traditional methods.