Using AI as an essential tool for managing and navigating biomedical literature
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The latest advancements in our understanding of human biology are continuously captured in the scientific literature. Our body's biology is driven by complex mechanistic pathways, which are, in turn, governed by biochemical interactions between proteins and other gene products. These pathways interact in ways that can ultimately lead to various diseases and health conditions.
By understanding these interactions, scientists can develop new therapies and treatments, improving quality of life and health outcomes. Staying current with the literature on advancements is an indispensible task for researchers and medical practitioners alike.
As biomedical research grows at an unprecedented rate, Artificial Intelligence (AI) is now an essential tool for managing and navigating the vast, expanding body of literature. In this approximately 45-min long webinar, we will explore the opportunities made possible for health sciences researchers through recent advances in Natural Language Processing (NLP), Large Language Models (LLMs), and the high-performance computing (HPC) resources available within the University of Arizona's research community. Presenter Enrique Noriega will highlight ongoing and completed projects that use CyVerse and exemplify productive collaborations between computer scientists and medical experts, and also discuss how AI can be effectively integrated into life sciences research.
This webinar topic is also covered in Dr. Noriega's and Dr. Mithun Paul's Fall 2024 DataLab workshop series "AI Makerspace" (more info here).