2 Days Hands-on Workshop with Globally recognized Certification

Venue: Bits Pilani, Hyderabad Campus

Note: Stay is also available for students only from 16 years onwards on sharing basis inside the campus from Atmos Bits Hyderabad.

Explore the applications of Artificial Intelligence in bioinformatics and healthcare through a 2-day hands-on workshop featuring practical training, demonstrations, and certification.

2-Day Workshop Pass Includes

• Hands-on training

• Practical demonstrations

• Certification

Eligibility

Open to all!

Suitable for students, professionals, and hobbyists from diverse backgrounds, including:

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

Table Of Contents

Day 1

Session 1: Introduction To AI In Bioinformatics & Healthcare

• Overview of AI applications in healthcare and life sciences

• Basics of medical and biological data

• Types of healthcare data: genomic, clinical, imaging, and signals

• Data formats and standards: FASTA, FASTQ, CSV, and DICOM overview

• Data preprocessing and cleaning for biomedical data

• Handling missing, noisy, and imbalanced medical data

• Ethical AI, data privacy, and healthcare regulations, including HIPAA and ethics

Session 2: Machine Learning & Deep Learning For Healthcare

• Introduction to machine learning in healthcare

• Numerical and clinical data analysis using NumPy and Pandas

• Data visualisation for medical insights using Matplotlib and Seaborn

• Exploratory Data Analysis (EDA) for healthcare datasets

• Introduction to neural networks

• Activation and loss functions for medical data

• Optimisation techniques and model evaluation metrics

• Overfitting, regularisation, and model validation in healthcare

Day 2

Session 1: Deep Learning Applications In Healthcare

• Training neural networks on clinical and biomedical data

• Medical image analysis using deep learning

• Introduction to Convolutional Neural Networks (CNNs)

• Training CNNs for disease detection, such as brain tumour classification

• Introduction to genomics and AI

• AI for DNA/RNA sequence analysis, including conceptual learning and demonstrations

Session 2: Hands-On Projects & Assignments

• Transfer learning and 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 and decision support systems

• Model interpretation and explainability in healthcare AI