Author: Abhay Panchal

In a razor-thin 215–214 vote, the House passed the “One Big Beautiful Bill Act”—a sweeping budget package packed with provisions that could dramatically reshape Medicaid, Medicare, and ACA policy. From new work requirements for Medicaid recipients and MAGA investment accounts for newborns, to Medicare payment changes, ACA enrollment restrictions, and bans on gender-affirming care coverage, the bill marks a turning point in federal health policy.

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Physicians often wonder if their compensation truly reflects their value — especially as workloads rise and pay remains stagnant. This 10-step guide from Medical Economics turns that gut feeling into a data-backed case for fair pay. From calculating your true total compensation to comparing national benchmarks, factoring in cost of living, and checking your contract for hidden clauses, the article outlines how to take control of your financial worth. If you suspect you’re underpaid, this guide might just be your first step toward change.

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In a striking critique of the U.S. malpractice system, Dr. Howard Smith reveals how today’s physicians are trapped in a web of lawsuits, rising insurance costs, and conflicting practice guidelines. Despite being insured, doctors are vulnerable—forced to follow cost-based “best practices” that may diverge from true standards of care. The kicker? A staggering two-thirds of malpractice suits lack merit. So why does the system still reward everyone but the physician? And can one new tool finally shift the balance back?

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Brightseed has launched Bio Gut Core™, a new low-dose digestive health ingredient powered by its AI platform, Forager®. Clinically shown to reduce bloating and abdominal pain while strengthening the gut barrier in just three weeks, the formula contains two nature-derived bioactives—NCT and NFT—found in common plants like garlic and black pepper.With the gut barrier increasingly seen as central to overall health, this breakthrough could change the way we approach digestive wellness. Could this AI-found compound become the next big thing in the $51B gut health market?

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What began as a half-serious poker night idea turned into Throne — a startup building AI-powered toilet-mounted devices to monitor gut health via computer vision. Now, with $4 million in seed funding led by Moxxie Ventures and angel investors like Lance Armstrong and WHOOP’s co-founder John Capodilupo, Throne is turning heads in digital health. With a prototype ready and a launch slated for 2026, Throne’s journey is a mix of medical promise, serendipitous introductions, and relentless conviction. But will consumers be ready to let an AI-powered toilet analyze their most private data?

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Endiatx, the Mayo Clinic–backed startup behind the steerable, swallowable PillBot camera, has quietly transitioned leadership: co-founder and former CEO Torrey Smith has stepped aside, with intellectual property attorney and medtech entrepreneur Arman Nadershahi now at the helm. Smith, still involved in R&D, described Nadershahi as “awesome,” while the new CEO emphasized a vision of making GI diagnostics “faster, simpler, less costly, and more comfortable.”

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A new DDW 2025 study reveals a surprising truth: most post-polypectomy colorectal cancers are diagnosed before recommended follow-up—and many are already advanced. So, what’s driving these missed opportunities? The quality of the baseline colonoscopy is under scrutiny, with evidence pointing to missed or incompletely resected lesions and significant differences in cancer risk tied to a physician’s adenoma detection rate (ADR). As concerns grow around patient compliance and procedural performance, could noninvasive tools like FIT help close the gap in surveillance? The case for rethinking traditional CRC monitoring is growing.

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In a compelling new article, Dr. John Halamka and Paul Cerrato unpack how natural language processing (NLP) is transforming healthcare—turning complex human communication into data machines can analyze, learn from, and act on. From summarizing dense health records to powering ChatGPT, NLP’s blend of computational linguistics and deep learning is quietly reshaping how medicine interacts with technology. But how exactly do machines interpret figurative phrases or reorder grammar across languages? The answer lies in the science of transformers and self-attention—and it’s more intuitive than you might think.

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