AI & Bioinformatics - 2 Days Workshop at IIT Madras Research Park

Tech Workshop Series 2026 by Techobytes with Globally Recognized Certification.

2-Day Workshop Pass Includes:

Hands-on training, practical demonstrations, certification, and lunch during the workshop.

Eligibility

Open to all!!

B.Tech, B.E., BCA, MCA, B.Sc IT, M.Sc IT, MBBS, MS, MD, Biomedical, Biotechnology, BBA, MBA, B.A., and hobbyists from all backgrounds

Table of Content

Day 1

Session 1: Introduction to AI in Bioinformatics & Healthcare

Overview of AI applications in Healthcare & Life Sciences

Basics of Medical & Biological Data

Types of Healthcare Data (Genomic, Clinical, Imaging, Signals)

Data Formats & Standards (FASTA, FASTQ, CSV, DICOM – overview)

Data Preprocessing & Cleaning for Biomedical Data

Handling Missing, Noisy & Imbalanced Medical Data

Ethical AI, Data Privacy & Healthcare Regulations (HIPAA, Ethics)

Session 2: Machine Learning & Deep Learning for Healthcare

Introduction to Machine Learning in Healthcare

Numerical & Clinical Data Analysis using NumPy & Pandas

Data Visualization for Medical Insights (Matplotlib / Seaborn)

Exploratory Data Analysis (EDA) for Healthcare Datasets

Introduction to Neural Networks

Activation Functions & Loss Functions for Medical Data

Optimization Techniques & Model Evaluation Metrics

Overfitting, Regularization & Model Validation in Healthcare

Day 2

Session 1: Deep Learning Applications in Healthcare

Training Neural Networks on Clinical & Biomedical Data

Medical Image Analysis using Deep Learning

Introduction to Convolutional Neural Networks (CNNs)

Training CNNs for Disease Detection (e.g., Brain Tumor Classification)

Introduction to Genomics & AI

AI for DNA/RNA Sequence Analysis (Conceptual + Demo)

Session 2: Hands-On Projects & Assignments

Transfer Learning & Fine-Tuning for Medical Image Classification

Pneumonia Detection using Chest X-ray Images

Heart Disease Prediction using Biomedical Signal Data

Case Study: AI-assisted Diagnosis & Decision Support Systems

Model Interpretation & Explainability in Healthcare AI