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) ...
Oncology Nurse Advisor

Machine Learning Model Predicts Nutritional Risk in Nasopharyngeal Carcinoma

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Open-source software sheds light on cancer's hidden genetic networks

University of Navarra (Spain) researchers have developed RNACOREX, a new open-source software capable of identifying gene ...
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 ...