Autonomous AI screening flags unreliable Lyme test results, boosting sensitivity to 95.7%
Computational point-of-care sensors can significantly improve access to diagnostics by enabling rapid patient testing outside centralized medical facilities. These tests rely on machine learning models to make diagnostic predictions, but such inference models are susceptible to hallucinations and may produce erroneous outcomes. As a result, their limited reliability has partially hindered the broader adoption of computational sensors in health care settings.
The tech section covers stories about technology making life better, not just more profitable. Open-source tools reaching new audiences, accessibility breakthroughs, AI applications in healthcare and education, infrastructure improvements that quietly make cities work better. Product launches and funding rounds are excluded unless they deliver tangible public benefit.
Colors brighten our lives and help define countless items we use daily-from the vibrant clothes we wear to decorative pa…
Breakthrough in Vaccine Science: AI-Designed Universal Coronavirus Shot Shows Safety in First Human Trial Medical Daily
Technique to ‘amplify’ random numbers is digital security breakthrough The Hindu
How This UMD Researcher's Skin-Care Discovery Helped Launch a Beauty Businesses Washingtonian