Novel AI tool offers prognosis for patients with head and neck cancer

A team led by investigators at Mass General Brigham and Dana-Farber Cancer Institute has developed and validated an ...

Automatic label checking: The missing step in making medical AI reliable

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...
Morning Overview on MSN

New tool exposes hidden cancer networks inside tumors

Cancer has long been treated as a mass of rogue cells, but the real power lies in the intricate communication networks ...
Scientific Research Publishing

Multimodal Digital Phenotyping for Bipolar Disorder: Robust Mood-State Classification and Early Relapse Risk Monitoring ()

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
IEEE

Review on the Application of Machine Learning and Deep Learning for the Diagnosis and Survival Prediction in Lung Cancer

Abstract: Lung cancer continues to rank among the world’s leading causes of cancer-related death. Improvements in early detection, diagnosis, and treatment planning are imperative. Classification, ...
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Jupiter Medical Center promotes lung cancer awareness with mobile lab

Jupiter Medical Center promotes lung cancer awareness with mobile lab Judge Delivers Final Blow to Trump Case Trump ally Elise Stefanik attacks Speaker Johnson’s leadership Satellite photo shows ...
IEEE

Lung Cancer Screening Classification by Sequential Multi-Instance Learning (SMILE) Framework With Multiple CT Scans

Abstract: Lung cancer screening with computed tomography (CT) scans can effectively improve the survival rate through the early detection of lung cancer, which typically identified in the form of ...