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Machine Learning and Artificial Intelligence for Infectious Disease Surveillance, Diagnosis, and Prognosis

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Deep Learning–Powered Whole Slide Image Analysis in Cancer Pathology

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Advancing digital health in China: Aligning challenges, opportunities, and solutions with the Global Initiative on Digital Health (GIDH)

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Multi-Modal Federated Learning for Cancer Staging Over Non-IID Datasets With Unbalanced Modalities

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The Evolution of Anticancer 3D In Vitro Models: The Potential Role of Machine Learning and AI in the Next Generation of Animal-Free Experiments

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Interleukin-6 Is a Crucial Factor in Shaping the Inflammatory Tumor Microenvironment in Ovarian Cancer and Determining Its Hot or Cold Nature with Diagnostic and Prognostic Utilities

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Multimodal data integration for predicting progression risk in castration-resistant prostate cancer using deep learning: a multicenter retrospective study

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Multimodal fusion model for prognostic prediction and radiotherapy response assessment in head and neck squamous cell carcinoma

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Integrative radiomics and transcriptomics analyses reveal subtype characterization of non-small cell lung cancer

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AI-enabled molecular phenotyping and prognostic predictions in lung cancer through multimodal clinical information integration

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A novel prognostic signature related to programmed cell death in osteosarcoma

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Artificial Intelligence in Risk Stratification and Outcome Prediction for Transcatheter Aortic Valve Replacement: A Systematic Review and Meta-Analysis

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Computational pathology identifies immune-mediated collagen disruption to predict clinical outcomes in gynecologic malignancies

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