International Centre for Theoretical Sciences Courses

Cause of Obesity, Diabetes & CVD Epidemic by Ponnusamy Saravanan

Explores the role of Gestational Diabetes Mellitus in obesity, diabetes, and cardiovascular disease epidemics, discussing its causes, impacts, and potential interventions.

• YouTube
• 56 minutes
• Self-Paced
• Free Video

Data- Access, Analysis and Distillation by K VijayRaghavan

Explore data access, analysis, and distillation techniques for machine learning in healthcare. Learn to harness computational methods for understanding health-related data across multiple domains.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

The Healthy Life Trajectories Initiative - Implementation, Challenges and Future

Exploring the Healthy Life Trajectories Initiative's implementation, challenges, and future prospects, focusing on improving health outcomes through data-driven approaches and collaborative research.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

Deciphering the Cis Regulatory Code and Disease Associated Genetic Variation

Explore machine learning techniques to analyze genetic variations and their impact on disease, focusing on decoding cis-regulatory elements and their role in health outcomes.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Insight and Inequity by Gagandeep Kang

Exploring health inequities and insights in India, focusing on challenges in data collection, analysis, and implementation for improved public health outcomes.

• YouTube
• 56 minutes
• Self-Paced
• Free Video

Novel Statistical and Machine Learning Methods for Single Cell Data Analysis

Explore innovative statistical and machine learning techniques for analyzing single-cell data, enhancing understanding of cellular heterogeneity and biological processes at unprecedented resolution.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Public Health Data Sources for Machine Learning and Examples of Research

Explore public health data sources for machine learning and discover research examples in this informative talk. Learn how to leverage data for innovative health studies and applications.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Genomics, Imaging and AI - Three Technologies Which Are Changing Basic Research by Ewan Birney

Explore how genomics, imaging, and AI are revolutionizing basic research, transforming our understanding of biology and accelerating scientific discoveries.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

ML and Health Care - An Obgyn Perspective by Uma Ram

Explore machine learning applications in obstetrics and gynecology from an expert's perspective, focusing on potential benefits and challenges in women's healthcare.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Use of Big Data Analytics in Healthcare Research by Rajiv Raman

Explore how big data analytics revolutionizes healthcare research, enhancing patient outcomes and driving medical advancements through innovative data-driven approaches.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Digital Twins in Healthcare by Anurag Agrawal

Explore the potential of digital twins in healthcare, focusing on their applications, benefits, and impact on patient care, medical research, and healthcare systems optimization.

• YouTube
• 56 minutes
• Self-Paced
• Free Video

How to Train Your DragoNN - A Primer on Deep Learning for Regulatory

Explore deep learning techniques for regulatory genomics, focusing on key benefits and applications in analyzing genomic data for improved understanding of gene regulation.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

Modeling Complex Phenotypes by Sayan Mukherjee

Explore advanced techniques for modeling complex phenotypes in health and disease, bridging machine learning with clinical applications to enhance data analysis and prediction in biomedicine.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Biomedical Text Mining III by Sudeshna Sarkar

Explore advanced techniques in biomedical text mining, focusing on extracting valuable insights from medical literature and clinical data to enhance healthcare research and decision-making.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

Modeling Noisy Count Data II by Sayan Mukherjee

Explore advanced techniques for modeling noisy count data in health and disease contexts, building on statistical and machine learning approaches to analyze complex biomedical datasets.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video