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.
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.
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.
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.
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.
Introduction to Probability, Statistics, Statistical Testing
Explore fundamental concepts of probability, statistics, and statistical testing, essential for understanding data analysis and machine learning in health and disease research.
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.
Heterogeneity of Type-2 Diabetes in India - I by V Mohan
Explore the diverse manifestations of Type-2 Diabetes in India with Dr. V Mohan, gaining insights into its unique characteristics and implications for diagnosis and treatment in the Indian population.