AI Decodes Dosing Paradoxes: Navigating Counterintuitive Drug Effects
Dosing paradoxes, where lower or unexpected doses yield better results, challenge traditional medicine. AI offers a pathway to understanding and predicting these…
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In-depth analysis on AI, diagnostics, genomics, drug discovery, and the future of medicine.
Dosing paradoxes, where lower or unexpected doses yield better results, challenge traditional medicine. AI offers a pathway to understanding and predicting these…
Ever wondered why a lower dose sometimes works better, or an unexpected substance yields surprising results? This article delves into the "dosing…
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In-depth articles and analysis on AI in healthcare, written for clinicians, researchers, and health-IT professionals. Free to read.
The FDA authorized 295 new AI/ML-enabled medical devices in 2025 — a record year.
The AI healthcare market is growing at a compound annual rate of approximately 38.6%, well above overall health-tech growth.
The AI healthcare market reached approximately $36.9B in 2025, on the trajectory to $110.6B by 2030.
AI in healthcare is projected to reach $110.6B by 2030. The question is not whether — it is how fast.
The FDA has authorized over 1,400 AI/ML-enabled medical devices, with 76% focused on radiology and imaging.
From radiology to pathology, algorithms now match specialist accuracy in detecting conditions across 15+ medical imaging modalities.