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Anthony Chang

As seen in: Forbes, Medium, Nature, Wiley Online Library, Aol, Frontiers in Medicine, Miami Herald, Detroit News, BioRxiv, El Nuevo Herald and
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Articles

The Rise Of Theranostics And The Fight To Accelerate Access

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By Anthony Chang
| Forbes Verified
Anthony Chang, PhD is the Founder and CEO of BAMF Health, a world leader in precision medicine and theranostics. A major shift in medicine is underway. It’s called theranostics. Yet despite extraordinary scientific progress and remarkable patient outcomes, many people still cannot access this potentially life-saving care. Theranostics is among the fastest-growing fields in precision medicine. It uses radiopharmaceuticals, or radioactive drugs, to detect and treat disease at the molecular level.
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Kidney biopsy in the diagnosis of immunoglobulin A nephropathy

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By Kirk Campbell, Anthony Chang, Marina Vivarelli
| Frontiers in Medicine
Abstract Immunoglobulin A nephropathy (IgAN) is a kidney disease characterized by deposition of galactose-deficient IgA1-containing immune complexes in the glomerular mesangium. It is the most common primary glomerular disease worldwide, affecting approximately 2.5 persons per 100,000 population annually. A definitive IgAN diagnosis requires a kidney biopsy.
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A global framework for artificial intelligence education in medicine: international working group recommendations

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By Laura Rosella, Yindalon Aphinyanaphongs, James S. Barry, Orest Boyko, Harvey Castro, Anthony Chang, Shane L. Eaton, Bradley Erickson, Jamie Fairclough, Diana Ferro, Gregg M. Gascon, Nihal Haque, Robert Hoyt, Johanna Inhyang Kim, Pietro Liò, Muhammad Mamdani, Piyush Mathur, Ryan M. McAdams, Ehsan Misaghi, Abhishek Moturu, Oded Nov, Gemma Postill, Ying Wan, Nathan Yung, Alfonso Limon, Hari Mudipalli, Arwa Nada, Mijanou Pham, Zoryana Salo, Marianne So
| Nature Verified
Abstract AI education in medicine remains fragmented, narrowly technical, and disconnected from healthcare realities. Through an international collaboration, we developed a framework spanning seven domains and 24 learning objectives. We reflect on what this process revealed: effective AI education must be clinically grounded, ethically integrated, and implementation-aware across the training continuum.
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