Accelerate Data Science and Leverage Foundation Models in Digital Biology

In recent years, the intersection of artificial intelligence and biology has opened new frontiers in scientific discovery. With the ability to process vast amounts of biological data, accelerated analysis and foundation model approaches are transforming digital biology, uncovering patterns that were previously inaccessible. This training lab provides hands-on experience for how foundation models can be leveraged to analyze biological data, with a single-cell genomics example. Gain a deep understanding of the end-to-end process, from pre-processing and analyzing single-cell data to fine-tuning an LLM foundation model and evaluating its performance. Learn how foundation models can uncover biological insights, while NVIDIA’s platform accelerates the entire process, enabling fast and scalable results. Get an overview of relevant NVIDIA solutions in digital biology, such as Parabricks, Vista2D, RAPIDS, and BioNeMo, and acquire the practical skills to use them to tackle complex biological challenges with GPUs.
Prerequisite(s):

Basic Python, ML, and dockers understanding.