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Machine Learning Patients

Akin Gump Strauss Hauer & Feld LLP

National Institutes of Health Develops AI Algorithm to Identify Potential Volunteers for Clinical Trials

Researchers from the National Institutes of Health (NIH) have developed an algorithm that harnesses AI to help accelerate the process of matching potential volunteers for relevant clinical research trials. The algorithm,...more

Sheppard Mullin Richter & Hampton LLP

Solving for Physician Burnout: How Organizations Can Deploy AI Solutions to Effectively Support Physician Workloads and Avoid...

This series explores legal issues related to physician burnout and potential solutions. Our first post addressed how healthcare organizations can foster the psychological safety and emotional wellbeing of their physicians....more

Foley & Lardner LLP

Challenges in AI-Enabled Biomarker Discovery

Foley & Lardner LLP on

Patient biomarkers are now used in personalized medicine to predict disease progression, minimize side effects, and maximize therapeutic benefits in the treatment of disease. In oncology, the use of biomarkers has increased...more

Spilman Thomas & Battle, PLLC

The Health Record - Healthcare Law Insights, Issue 1, May 2024

Welcome to our inaugural issue of The Health Record - our healthcare law insights e-newsletter! As such, we wanted to pull together our insights and pass them along to you. Our goal is to create a publication that is...more

Sheppard Mullin Richter & Hampton LLP

FDA Joins Other Regulators in Focus on AI and Machine Learning

The Food and Drug Administration recently sought comments on the role of transparency for artificial intelligence and machine learning-enabled medical devices. The FDA invited comments in follow up to a recent workshop on the...more

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