National Library of Medicine | Overview of ChatGPT and other Large Language Models and their applications in Biomedicine @NLMNIH | Uploaded June 2023 | Updated October 2024, 2 hours ago.
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. 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. About the Speakers: Dr. Shubo Tian is a research scientist in Dr. Zhiyong Lu’s group. 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. Dr. Shubo Tian holds a PhD degree in statistics and has a wide range of experience in the industry. Dr. Qiao Jin is researcher scientist in the BioNLP group led by Dr. Zhiyong Lu at NCBI/NLM/NIH. He received his M.D. degree from Tsinghua University in 2022. Dr. Jin’s research interests include deep learning, natural language processing, information retrieval, and their applications in biomedicine. He published ~20 peer-reviewed articles at EMNLP, NAACL, SIGIR, including BioELMo (one of the first pre-trained language models in biomedicine) and PubMedQA (a widely-used biomedical question answering benchmark for evaluating LLMs). He has won the first BioBank Disease AI Challenge, and the TREC 2020 Precision Medicine track. His EBM-Net work received the Best NLP Paper Award from the International Medical Informatics Association in 2021. His primary focus recently has been to improve biomedical information access with large language models.
Author: Dr. Shubo Tian, NLM, NIH & Dr. Qiao Jin, NLM, NIH
Air date: Tuesday, May 23, 2023, 2:00:00 PM
Time displayed is Eastern Time, Washington DC Local
#ai #chatgpt
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. 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. About the Speakers: Dr. Shubo Tian is a research scientist in Dr. Zhiyong Lu’s group. 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. Dr. Shubo Tian holds a PhD degree in statistics and has a wide range of experience in the industry. Dr. Qiao Jin is researcher scientist in the BioNLP group led by Dr. Zhiyong Lu at NCBI/NLM/NIH. He received his M.D. degree from Tsinghua University in 2022. Dr. Jin’s research interests include deep learning, natural language processing, information retrieval, and their applications in biomedicine. He published ~20 peer-reviewed articles at EMNLP, NAACL, SIGIR, including BioELMo (one of the first pre-trained language models in biomedicine) and PubMedQA (a widely-used biomedical question answering benchmark for evaluating LLMs). He has won the first BioBank Disease AI Challenge, and the TREC 2020 Precision Medicine track. His EBM-Net work received the Best NLP Paper Award from the International Medical Informatics Association in 2021. His primary focus recently has been to improve biomedical information access with large language models.
Author: Dr. Shubo Tian, NLM, NIH & Dr. Qiao Jin, NLM, NIH
Air date: Tuesday, May 23, 2023, 2:00:00 PM
Time displayed is Eastern Time, Washington DC Local
#ai #chatgpt
![Socio dramas [Social dramas]](https://i.ytimg.com/vi/M2gCqsxNQe8/hqdefault.jpg "Socio dramas [Social dramas]
This film demonstrates how local, amateur actors in Colombia are used to dramatize scenarios that depict the health challenges faced by rural families. Through these ‘sociodramas,’ common family planning methods are promoted as a way to combat malnutrition, poverty, and unhappiness in large homes. The film ends with a little girl reciting a copla—a poetic form popular in the coffee-growing area where the sketches are set. She hails the Profamilia organization and “clarifies” that women affiliated with a club supported by the organization were “good women and not rebels.” In short, through this copla and the sociodrama sketches, the film shows how rural people appropriated and adapted national family planning discourse to their specific realities and communications modes.
Learn more about this film and search its transcript at NLM Digital Collections: http://resource.nlm.nih.gov/101774738
Learn more about the National Library of Medicines historical audiovisuals program at: https://www.nlm.nih.gov/hmd/collectio... #medicalhistory #colombia")
![Isolation Tent [Silent] (National Institutes of Health, 1964)](https://i.ytimg.com/vi/NkjA5LJkTac/hqdefault.jpg "Isolation Tent [Silent] (National Institutes of Health, 1964)
Film shows a zippered clear plastic tent held up by a metal frame. A man dons white booties and steps into the tent. Alongside it is a table with scientific research equipment, including a plastic tube threaded into the tent. When a researcher in a white coat gives the signal, the man inside the tent begins to jog in place until he receives the signal to stop, at which point he exits the tent. The scene is repeated, but the second time the man does deep knee bends. Then two different carts with plastic cubicles on top of them and rubber arm holes and gloves are wheeled into view.
Learn more about this film and search its transcript at NLM Digital Collections: http://resource.nlm.nih.gov/101773163
Learn more about the National Library of Medicines historical audiovisuals program at: https://www.nlm.nih.gov/hmd/collections/films
#medicalhistory #jamaica")
