To our knowledge, this analysis is the largest EHR-based study for identifying drug repurposing candidates for ALS. We identified several drugs that warrant further assessment as therapeutic options ...

The products and services developed aim to serve the majority of humans, and AI is great for speeding up repetitive tasks and rephrasing or improving written content, but the human touch should always ...

Background Preprocedural risk prediction of 30-day all-cause mortality after percutaneous coronary intervention (PCI) aids in clinical decision-making and benchmarking hospital performance. This study ...

The experts at irishracing.com have fired up their supercomputer to assess which horse has the best chance of winning the Gold Cup ...

These new models are specially trained to recognize when an LLM is potentially going off the rails. If they don’t like how an interaction is going, they have the power to stop it. Of course, every ...

Overview:  Python libraries help businesses build powerful tools for data analysis, AI systems, and automation faster and more efficiently.Popular librarie ...

Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...

Seventeen-year-old Vishnu Kannan’s love for math and problem solving led him to become the founder of a tech startup, which he recently sold for $2 million in stocks.

Background Remission and low-disease activity are recommended targets in systemic lupus erythematosus (SLE), yet many ...

Discover the hidden dangers of sycophantic AI. Learn why chatbots prioritize flattery over facts, the risks of delusional spiraling, and how to stop LLMs from simply telling you what you want to hear.