Transformative AI and Single-Cell Technologies Revolutionizing Healthcare

Explore a 23-minute conference talk that delves into how artificial intelligence and single-cell technologies are transforming healthcare. Senior Deep Learning Engineer at AstraZeneca, Balaji Selvaraj, guides viewers through the evolution from traditional bulk sequencing methods to cutting-edge single-cell technology, which has enabled innovative AI approaches in the omics field. Learn about omics as an interdisciplinary field examining biological component interactions across multiple layers including genome, transcriptome, proteome, and metabolome. Discover how multimodal AI approaches can extract critical insights from these diverse areas, revealing complex relationships among genes, RNA, proteins, and metabolites. The presentation covers the structure of omics data and its challenges such as sparsity and batch effects, key concepts in developing Single Cell Foundation models like scGPT, and potential healthcare applications for understanding disease mechanisms, tissue composition, and tumor recurrence. Balaji Selvaraj brings over a decade of expertise in deep learning, ranks in the top 1% on Kaggle, and has achieved a global rank of 652 among more than 200,000 data scientists. This talk was recorded at the 2025 GAIA Conference in Gothenburg, Sweden, and is suitable for anyone interested in AI's current and future impact on healthcare.