Description
Book SynopsisDigital Pathology and Artificial Intelligence for Early Diagnosis of Pediatric Solid Tumors: Implication For Improved Healthcare Strategies.- Digital Health Technologies in Cancer Care and Research.- Unveiling Cancer Complexity: Machine Learning Insights into Multi-Omics Data.- The Role of Integrated Bioinformatics in Cancer Research: Transforming Genomic Insights into Precision Medicine.- In Silico and Biophysical Techniques in Anticancer Drug Discovery Research.- In Silico Methods and Targeted Receptors Used in Cancer Studies.- Modeling Uncertain Growth and Diffusion in Cancer Tumors with Heterogeneous Cell Mutations.- Imaging Tumor Metabolism and Its Heterogeneity: Special Focus on Radiomics and AI.- Mathematical Modeling of Cancer Tumor Dynamics with Multiple Fuzzification Approaches in Fractional Environment.- Is Cancer Our Equal or Our Better? Artificial Intelligence in Cancer Drug Discovery.- Recent Advances in Artificial Intelligence and Cancer Treatment.- Signature-Based Drug Repositioning: Tackling Speeding Up Drug Discovery of Anticancer Drugs Employing Recently Developed Machine Learning Tools.- Mathematical Analysis of Cancer-Tumor Models with Variable Depression Effects and Integrated Treatment Strategies.- Emerging Role of Artificial Intelligence in Colorectal Cancer: Screening and Diagnosis.- Measuring the Performance of Supervised Machine Learning Approaches Using Cancer Data.- VRTumor: Integrating AI-Based Segmentation with Virtual Reality for Precise Tumor Analysis. Artificial Intelligence Applications to Detect Pediatric Brain Tumor Biomarkers.
