AI & Bio-Informatics

Name: AI &amp; Bio-Informatics
Start: 2026-02-14T04:30:00+00:00
End: 2026-02-15T11:30:00+00:00
Location: Indian Institute of Science

Schedule

Sat, 14 Feb, 2026 at 04:30 am to Sun, 15 Feb, 2026 at 11:30 am

UTC+00:00

Location

Indian Institute of Science | Bangalore, KA

Advanced Tech Workshop 2026EligibilityOpen 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 backgroundsTable of Content Day 1Session 1: Introduction to AI in Bioinformatics & HealthcareOverview of AI applications in Healthcare & Life SciencesBasics of Medical & Biological DataTypes of Healthcare Data (Genomic, Clinical, Imaging, Signals)Data Formats & Standards (FASTA, FASTQ, CSV, DICOM – overview)Data Preprocessing & Cleaning for Biomedical DataHandling Missing, Noisy & Imbalanced Medical DataEthical AI, Data Privacy & Healthcare Regulations (HIPAA, Ethics)Session 2: Machine Learning & Deep Learning for HealthcareIntroduction to Machine Learning in HealthcareNumerical & Clinical Data Analysis using NumPy & PandasData Visualization for Medical Insights (Matplotlib / Seaborn)Exploratory Data Analysis (EDA) for Healthcare DatasetsIntroduction to Neural NetworksActivation Functions & Loss Functions for Medical DataOptimization Techniques & Model Evaluation MetricsOverfitting, Regularization & Model Validation in HealthcareDay 2Session 1: Deep Learning Applications in HealthcareTraining Neural Networks on Clinical & Biomedical DataMedical Image Analysis using Deep LearningIntroduction to Convolutional Neural Networks (CNNs)Training CNNs for Disease Detection (e.g., Brain Tumor Classification)Introduction to Genomics & AIAI for DNA/RNA Sequence Analysis (Conceptual + Demo)Session 2: Hands-On Projects & AssignmentsTransfer Learning & Fine-Tuning for Medical Image ClassificationPneumonia Detection using Chest X-ray ImagesHeart Disease Prediction using Biomedical Signal DataCase Study: AI-assisted Diagnosis & Decision Support SystemsModel Interpretation & Explainability in Healthcare AI