Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Stochastic analysis and modelling encapsulate a rich field that combines rigorous probability theory with analytical tools to capture and forecast the behaviour of systems influenced by inherent ...

Global weather models form the foundation of much of the available solar irradiance and power forecasting, and are typically sourced from publicly funded weather agencies, including the European ...

Real-World and Clinical Trial Validation of a Deep Learning Radiomic Biomarker for PD-(L)1 Immune Checkpoint Inhibitor Response in Advanced Non–Small Cell Lung Cancer The authors present a score that ...

Agentic world models are aiding the advancement of AI in mental health. Embodiment and psychological grounding come to the fore. An AI Insider scoop.

AI labs like OpenAI claim that their so-called “reasoning” AI models, which can “think” through problems step by step, are more capable than their non-reasoning counterparts in specific domains, such ...

Ultrasound with the International Ovarian Tumour Analysis model at 10% yields better sensitivity than the standard risk prediction tool in triaging premenopausal women for early ovarian cancer.

Background International guidelines recommend percutaneous coronary intervention within 120 min for high-risk acute coronary syndrome. In Indonesia, a sprawling archipelago with a rising ...

The Basics of Returns-Based Style Analysis Fetching Data for Style Analysis Case Study: Looking for Investment Style Drift Unlock More Code Snippets for Rigorous Fund Evaluation Investors choose funds ...