Shubo Tian holds a PhD degree in statistics and has a wide range of experience in the industry.ĭr. He has extensive experience in using pre-trained language models for various biomedical and clinical applications, including information retrieval, information extraction such as named entity recognition and relation extraction, entity linking, and health outcome predictions. Shubo Tian is a research scientist in Dr. In this talk, we will provide a comprehensive review of Large Language Models (LLMs), and how they can be used in Biomedical and Clinical applications, as well as their potential in addressing current challenges in the field, in driving innovation, and in improving the outcomes.ĭr.

NIH Text Mining and Natural Language Processing SIG is pleased to welcome you to a special event dedicated to Large Language Models.Ībstract: The release of ChatGPT and the subsequent launch of GPT-4 by OpenAI has created a storm, capturing the attention of both the general public and domain professionals. He has worked on protein structure analysis and large-scale biological networks. His main research interests include bioinformatics, graph theory, and algorithms. is a computer science professor at the Colorado School of Mines.

use locally installed and cloud-based tools together for downstream analysis.Īs one of the three Cloud Resources within the NCI Cancer Research Data Commons, the Seven Bridges’ CGC (Velsera) provides researchers access to a wide variety of data sets, a catalog of tools to analyze and visualize the data directly from the browser, and scalable computational resources to perform large scale analysis on the cloud.

use programmatic access to automatically update the metadata of individual samples to avoid manually entering the information for data sets containing hundreds of samples.

utilize the tools on CGC to speed up data upload, preprocessing, and alignment stages.

Tolga Can of the Colorado School of Mines will share how he and members of the Erson-Bensan Lab are using publicly available RNA-seq data sets and CGC resources to screen for alternative polyadenylation events in cancer cells. In this month’s Cancer Genomics Cloud (CGC) webinar, Dr.

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