Machine learning holds promise for optimizing treatment strategies and potentially improving outcomes in respiratory failure ...

Developers can now build, test, and deploy applications powered by OpenAI’s gpt-oss models within the AI development platform ...

Researchers at IMDEA Materials Institute have developed a streamlined and industrially scalable methodology to design and ...

The machine learning algorithm KNN for life expectancy is presented in this work. The dataset gathered for this study is separated into a training set (70%) and a test set (30%), and the forecasts ...

Blasting is considered an indispensable process in mining excavation operations. Generally, only a small percentage of the total energy of blasting is consumed in the fragmentation and displacement of ...

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors ...

Methods A multimodal deep-learning model with transformers was developed for real-time recurrence prediction using baseline clinical, pathological, and molecular data with longitudinal laboratory and ...

Discover the strengths and weaknesses of Qwen 3 and Kimi K2, two groundbreaking AI models shaping the future of artificial intelligence.

The Precision Summit, presented by Continental Diamond Tool, is a manufacturing open house that invites anyone with an interest in manufacturing, CNC grinding and automation to attend at the United ...

Federated learning (FL) introduces new perspectives in machine learning (ML) by enabling model training across decentralized devices. The research on data security and privacy in federated learning ...

Conclusion: This integrated approach enhances the precision of intraoperative molecular diagnosis and has the potential to optimize surgical strategies for glioma treatment. Keywords: Glioma, machine ...