Researchers conducted a systematic review to assess the risk of bias and applicability of prediction models for fear of recurrence in patients with cancer.

Using routinely collected baseline data across 11 registries, prediction of remission showed limited discrimination and was best suited to ruling out remission. Performance was similar for a ...

While generative artificial intelligence (genAI) promises to transform classrooms through personalized learning, automated feedback, and real-time content generation, new evidence suggests that ...

If you've been scrolling through Coursera's 500+ AI courses feeling overwhelmed, you're not alone—but the platform's 2026 updates have made the choice clearer than ever. With new professional ...

New research using AI-powered stacked ensemble models has improved accuracy in predicting NBA game results by combining multiple machine learning algorithms. These models not only forecast outcomes ...

A new AI tool detects pancreatic cancer up to three years early on routine CT scans, outperforming expert radiologists.

There is a persistent belief in the ‘AI’ community that large language models (LLMs) have the ability to learn and self-improve by tweaking the weights in their vector space. Although ...

Lessons learned from developing an inferential model for predicting food insecurity yield essential insights and actionable ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

The rapid advances in machine learning (ML) and artificial intelligence (AI) are transforming biology and opening new directions for scientific inquiry.

Claude Sonnet 4, and Gemini 2.5 Pro dynamically — no hardcoded pipelines, fewer tokens than competing frameworks.