Fusion of Signaling Pathway and Omics in Precision Cardio-Brain Oncology : Volume 2.

Format:

Book

Author/Creator:

Mallik, Saurav.

Series:

Studies in Rhythm Engineering Series

Language:

English

Physical Description:

1 online resource (371 pages)

Edition:

1st ed.

Place of Publication:

Singapore : Springer, 2026.

Summary:

This book offers a comprehensive and insightful exploration of biomarker discovery and electro-chemical signaling pathways in brain and cardio-oncology.The integration of these two fields--focusing on organs where electro-chemical signaling plays a crucial yet distinct role--sets this work apart from existing literature.

Contents:

Studies in Rhythm Engineering

Fusion of Signaling Pathway and Omics in Precision Cardio-Brain Oncology

Preface

Contents

Editors and Contributors

1. A Comprehensive Study of Machine Learning and Deep Learning Methods for Medical Brain Imaging

2. A Systematic Review of Brain Tumor Classification from MRI Scans Through the Last Decade

3. Comparative Analysis of Logistic Regression, Random Forest, XGBoost, LightGBM, and Voting Classifier for Early Stroke Detection

4. Machine Learning and Deep Learning for Multi-omics and Signal-Based Biomarker Discovery in Cardio-Brain Oncology: A Comprehensive Survey

5. Intelligent Brain Tumor Detection System Based on YOLOv8 Deep Learning Model

6. Spatial Transcriptomic Deep Learning and Gene-Based Machine Learning for SLE Diagnosis: A Comparative Analysis

7. Cancer Signaling Pathways and Cancer Biology

8. Computational Detection of Pigmented Skin Cancer Images Using Machine Learning and Optimization Techniques

9. The Efficacy of Internet of Medical Things (IoMT) and Cloud-Fog Computing in Monitoring Neuro-Oncology Patients: A Systematic Literature Review

10. Alzheimer's Disease Progression Prediction with Machine Learning

11. Deciphering TP53-Mediated Pathways in Cancer Through Protein Interaction Analysis

12. Accurate and Early Detection of Dysarthria Using a Multimodal Deep Learning Methodology

13. Advancing Lung Cancer Detection Using Optimized Fine Tuning Data-Efficient Image Transformers

Author Index.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9789819589388

OCLC:

1609711298