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Explore the development of Evo, a groundbreaking foundation model designed to understand and generate genomic sequences through this 47-minute Stanford University lecture. Discover how researchers are applying large language model techniques to decode DNA's complex biological language, addressing unique challenges such as the extreme length of genomic sequences (over 3 billion nucleotides in humans) and their high sensitivity to mutations where single changes can determine disease outcomes. Learn about innovative approaches to modeling long DNA sequences that could revolutionize our understanding of human disease, enable the creation of novel therapeutics, and potentially allow for life engineering. Understand the technical hurdles of processing genomic data at scales from molecular to whole genome level, and examine the ethical considerations surrounding DNA sequence modeling and design. The presentation covers the fundamental differences between natural language processing and genomic sequence analysis, highlighting how small genetic variations can have profound biological consequences. Gain insights into cutting-edge research that aims to harness AI systems for advancing human health through better genomic understanding and therapeutic development.
