Generative AI: Review of Large Language Models and their Applications in Biomedical Domain
Presented by:
Nafiseh Mollaei, PhD
Postdoctoral Research Associate, Health Informatics and Data Science, Loyola University Chicago
When:
Wednesday, Aug 02, 2023 12:00 pm – 1:00 pm (CST)
Location:
TBA
Join via Zoom:
TBA
Overview:
Pre-trained language models have received more consideration in recent studies as a result of their outstanding performance in the general natural language domain. In the general language domain, there are two main branches of pre-trained language models: BERT (and its variants) and GPT (and its variants). The first one, BERT, has received the most attention in the biomedical domain; examples include BioBERT, while the second one has received less attention. In this presentation, I'll demonstrate how the generative language model, along with some fine-tuning, can be used for tasks like extracting biomedical relationships, addressing queries, categorizing documents, and creating definitions for biomedical terms.
Speaker:
Nafiseh Mollaei, PhD is a Postdoctoral Research Associate in the Department of Health Informatics and Data Science at Loyola University Chicago. She received her PhD in Biomedical Engineering from NOVA University of Lisbon in Portugal in 2022. Prior to joining Loyola, she was a Research Assistant in the Medical Department at Volkswagen Autoeuropa in Portugal for more than four years. Her research focuses on leveraging Artificial Intelligence (AI) algorithms to prevent adverse health outcomes. Currently, at Tootooni Lab, she utilizes Large Language Models to identify key contributors of therapeutic inertia for hypertension management from clinical progress notes.
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Originally recorded on Wednesday, Aug 09, 2023, as part of CHOIR's
Presented by:
Nafiseh Mollaei, PhD
Postdoctoral Research Associate, Health Informatics and Data Science, Loyola University Chicago
When:
Wednesday, Aug 02, 2023 12:00 pm – 1:00 pm (CST)
Location:
TBA
Join via Zoom:
TBA
Overview:
Pre-trained language models have received more consideration in recent studies as a result of their outstanding performance in the general natural language domain. In the general language domain, there are two main branches of pre-trained language models: BERT (and its variants) and GPT (and its variants). The first one, BERT, has received the most attention in the biomedical domain; examples include BioBERT, while the second one has received less attention. In this presentation, I'll demonstrate how the generative language model, along with some fine-tuning, can be used for tasks like extracting biomedical relationships, addressing queries, categorizing documents, and creating definitions for biomedical terms.
Speaker:
Nafiseh Mollaei, PhD is a Postdoctoral Research Associate in the Department of Health Informatics and Data Science at Loyola University Chicago. She received her PhD in Biomedical Engineering from NOVA University of Lisbon in Portugal in 2022. Prior to joining Loyola, she was a Research Assistant in the Medical Department at Volkswagen Autoeuropa in Portugal for more than four years. Her research focuses on leveraging Artificial Intelligence (AI) algorithms to prevent adverse health outcomes. Currently, at Tootooni Lab, she utilizes Large Language Models to identify key contributors of therapeutic inertia for hypertension management from clinical progress notes.