Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...
Keeping up with the latest research is vital for scientists, but given that millions of scientific papers are published every ...
1don MSN
AI tool can predict which trauma patients need blood transfusions before they reach the hospital
Severe bleeding is one of the most common and preventable causes of death after traumatic injury, yet currently available ...
A key outcome from lung cancer screening studies is the concept of ‘stage-shift’ seen in screen-detected cancers compared ...
Anthropic's Claude Opus 4.6 and OpenAI's GPT-5.3-Codex go head-to-head in agentic coding, but are there any differences?
New research shows supervised machine learning models combining Helicobacter pylori genomic data with patient demographics can accurately predict gastric cancer risk.
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