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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Topol’s take on AI: Success and failure

Artificial intelligence shows great promise in recognizing patterns, liberating physicians from keyboards and predicting outcomes, but where does it fall short? Medical guru Eric Topol does a deep dive into those topics and many more in his new book, Deep Medicine.

Deep neural network matches pathologists’ ability to identify lung cancer

A deep neural network crafted by research specialists at Dartmouth’s Norris Cotton Cancer Center identified different types of lung adenocarcinoma as well as practicing pathologists in a recent study, according to work published March 4 in Scientific Reports.

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AI tool matches cancer patients with relevant clinical trials

A 14-week health technology “sprint” sponsored by the U.S. Census Bureau and coordinated by HHS has produced an AI tool that developers claim could revolutionize the way researchers match cancer patients with clinical trials.

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Natural language processing helps hospital predict downstream demand for imaging services

Canadian researchers working with Toronto General Hospital-University Health Network have developed a natural language processing (NLP) approach to predicting downstream radiology resource utilization, according to work published in the Journal of the American College of Radiology March 2.

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FDA grants tech startup Breakthrough designation for use of AI in cancer research

The FDA on March 7 granted Breakthrough Device designation to Paige.AI, a year-old New York startup that’s using AI to help diagnose and treat cancer, the company announced.

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Why the ‘art of caring’ is so important in the age of AI

The rapid advancement of AI technologies has left the medical community in a state of flux, unsure of where to direct their efforts to deliver the best, most effective care. But to one dean the answer is simple: prioritize patients.

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5 barriers to recognizing the full potential of deep learning

Deep learning is an important element of AI that’s helping advance diagnostics and treatment, but it also remains relatively uncharted territory.

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Researchers are using AI to craft the perfect flu shot

A collaboration between Boston-based pharmaceutical startup Berg and French company Sanofi could one day result in more precise flu vaccines and even personalized shots tailored to individuals’ unique immune systems, Time reported March 5.

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Around the web

Cardiovascular Business
Cardiologist compensation still rising, especially in invasive and interventional cardiology

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.

Cardiovascular Business
FDA’s tirzepatide decision creates uncertainty for patients—and leads to a lawsuit

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. 

Cardiovascular Business
Cardiology groups cheer new bill that would improve access to Medicare claims data

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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