BIOMEDICAL DATA ANALYSIS WITH PYTHON

Unlock the Power of Python for Healthcare, Genomics, and Biomedical Signal Processing

In a world driven by data and innovation, biomedical science stands at the forefront of life-saving discoveries. Biomedical Data Analysis with Python is your comprehensive guide to understanding, processing, and interpreting complex biomedical datasets using Python’s powerful ecosystem.

This book is tailored for students, healthcare professionals, researchers, and developers who want to explore how Python can be applied to real-world problems in medical research, genomics, bioinformatics, electronic health records (EHR), and biosignal processing.

You will learn how to:

Analyze patient vitals and EHR data using Pandas and visualization tools

Work with genomic sequences using Biopython and gene expression datasets

Process and extract features from ECG and EEG signals

Visualize biomedical data with interactive plots and Streamlit dashboards

Build AI-driven medical image classifiers using deep learning frameworks

Maintain ethical standards with sensitive health data and ensure privacy compliance

Each chapter includes hands-on examples, projects, and case studies using real or simulated medical datasets. Whether you're building a diagnostic tool, studying genetic markers, or analyzing patient vitals, this book will equip you with the skills and confidence to make an impact in the biomedical data science field.