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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Rare but dangerous cholesterol condition gives it up to an algorithm

A rare and difficult-to-diagnose genetic condition that raises LDL (bad) cholesterol to dangerous levels is now vulnerable to an AI tool.

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Urban trauma centers demonstrate disaster preparedness nearly every day

As incidents producing mass casualties can occur anywhere at any time, leadership at trauma centers of all levels do well to prepare. A good place to start is learning from the experiences of urban hospitals dealing with shooting victims every day or close to it.

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AI helps ID schizophrenia through brain imaging

Researchers have identified an approach for more accurately diagnosing schizophrenia using AI, bringing some objectivity to the field of neurodevelopmental disorder diagnosis, according to a study published in the May edition of Artificial Intelligence in Medicine.

Deep learning ECG analysis facilitates screening for hyperkalemia

A deep learning model trained on more than 1.5 million electrocardiograms and developed by a team at the Mayo Clinic improved detection rates for hyperkalemia in patients with chronic kidney disease (CKD), according to a study published April 3 in JAMA Cardiology.

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Machine learning helps fine-tune drug prescribing for bipolar disorder

Mental health researchers at Harvard and the University of Pennsylvania have developed a novel machine learning technique for predicting how bipolar patients will respond to two drugs commonly prescribed to treat the disorder, according to a study running in Bipolar Disorders.

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CDC confirms nearly 600 cases of deadly drug-resistant fungus in US

The CDC has confirmed nearly 600 cases of a deadly multi-drug-resistant fungus in the U.S. as of February 28, with most cases concentrated in New Jersey, New York and Illinois.

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Massachusetts governor warns healthcare execs to be realistic about AI

Massachusetts Gov. Charlie Baker issued a piece of cautionary advice to healthcare executives April 8, urging them to take the recent rise of AI with a grain of salt, the Boston Business Journal reported.

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Chi-square risk estimation helps reduce noise in MR images

A combination of the established denoising algorithm NeighShrink and chi-square unbiased risk estimation (CURE) could reduce noise in magnetic resonance (MR) images more effectively than traditional methods, according to research published in Artificial Intelligence in Medicine.

Around the web

Updated compensation data includes good news for multiple subspecialties. The new report also examines private equity's impact on employment models and how much male cardiologists earn compared to females.

When drugs are on the FDA’s shortage list, outsourcing facilities can produce their own compounded versions. When the FDA removed tirzepatide from that list with no warning, it created a considerable amount of chaos both behind the scenes and in pharmacies all over the country. 

If passed, this bill would help clinician-led clinical registries explore Medicare data for research purposes. The Society of Thoracic Surgeons and American College of Cardiology both shared public support for the bipartisan legislation. 

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