Autoantibodies are central to the diagnosis, classification, and stratification of many autoimmune diseases, particularly ...

BACKGROUND: Metabolic adaptation and maladaptation are hallmarks of the failing heart and may be a target for therapeutic ...

Background Users often regard the 2022 WHO verbal autopsy (VA) instrument as lengthy and time-consuming to implement, ...

Part 2 of this series on ethical AI looks at operationalizing trust with the clear prompting framework and robust data ...

Discover how connecting make and test workflows can accelerate drug discovery by improving decision-making across the DMTA ...

Market participants are no longer satisfied with a single asset for exposure to precious metals. Gold has always been ...

Artificial intelligence (AI) health-care technologies offer a means of addressing the growing gap between health-care ...

If you have spent time using AI coding agents — GitHub Copilot, Claude Code, Gemini CLI — you have probably run into this situation: you describe what you want, the agent generates a block of code ...

As AI coding agents grow more capable, a structural problem has emerged: speed without clarity. Developers generate working code in minutes, only to discover days later that it doesn’t match what the ...

Whether they are competing approaches or complementary, there are good ways to incorporate both these AI-based methods into developing resilient applications. Vibe coding and spec-driven development ...

Code is disposable. Behavior is permanent. STDD defines systems using specifications and tests. AI generates the implementation. If the implementation becomes outdated, complex, or broken, it is ...

Most engineering teams today say they’ve adopted AI coding tools like Cursor, GitHub Copilot and Claude Code. The tools are installed, subscriptions are active, and developers are using them daily.