Artificial Intelligence and Bioinformatics in Cancer: An Interdisciplinary Approach

Digital 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.

• Erscheinungsdatum: 30.05.2025
• Autor/Autorin: Nima Rezaei
• Reihe: Biomedical and Life Sciences (R0)
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 21.5 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 435 Seiten
• ISBN: 9783031922060
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.