ncibtep@nih.gov

Bioinformatics Training and Education Program

BTEP AI in Biomedical Research @ NIH Seminar Series

2024 Seminar Series

This seminar series features speakers from intramural NIH sharing the ways they are using AI in their research.

Transforming Medicine with AI: From TrialGPT to GeneAgent

  • When: May 2, 2024
  • Delivery: Online
  • Presented By: Dr. Zhiyong Lu (NCBI)
  • The explosion of biomedical big data and information in the past decade or so has created new opportunities for discoveries to improve the treatment and prevention of human diseases. As such, the field of medicine is undergoing a paradigm shift driven by AI-powered analytical solutions. This talk explores the benefits (and risks) of AI and ChatGPT, highlighting their pivotal roles in revolutionizing biomedical discovery, patient care, diagnosis, treatment, and medical research. By demonstrating their uses in some real-world applications such as improving biomedical literature searches (Nature Biotechnology 2018; Nature 2020; Nature Genetics 2023), accelerating patient trial matching (TrialGPT, in collaboration with NCI clinicians), and assisting gene set analysis (GeneAgent, in collaboration with NCI researchers), we underscore the potential of AI and ChatGPT in enhancing clinical decision-making, personalizing patient experiences, and accelerating knowledge discovery.

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    2300 950 8025
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Faraz Faghri

  • When: June 27, 2024
  • Delivery: Online
  • Presented By: Faraz Fahri, Ph.D. (CARD)
  • CARD is a collaborative initiative of the National Institute on Aging and the National Institute of Neurological Disorders and Stroke that supports basic, translational, and clinical research on Alzheimer’s disease and related dementias. CARD’s central mission is to initiate, stimulate, accelerate, and support research that will lead to the development of improved treatments and preventions for these diseases.

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    2310 497 7985
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Kerry Goetz, Ph.D.

  • When: July 25, 2024
  • Delivery: Online
  • Presented By: Kerry Goetz, Ph.D., (NEI)
  • Kerry Goetz, Ph.D.

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    2302 034 0947
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David Reif, Ph.D.

  • When: November 14, 2024
  • Delivery: Online
  • Presented By: David Reif, Ph.D. (NIEHS)
  • David M. Reif, Ph.D., joined the NIEHS in 2022 as Chief of the Predictive Toxicology Branch (PTB) in the Division of Translational Toxicology (DTT). In this role, he will leverage expertise of the branch in data science, toxicogenomics, spatiotemporal exposures and toxicology, computational methods development, and new approach methods (NAMs) to advance predictive toxicology applications with partners across NIEHS, the interagency Tox21 Program and the Interagency Coordinating Committee on the Validation of Alternative Methods (ICCVAM).

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    2318 207 2771
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Explainable Artificial Intelligence (XAI) and Single Cell Genomics to Understand the Cellular Complexity of the Human Brain Archived

  • When: April 4, 2024
  • Delivery: Online
  • Presented By: Richard Scheuermann, Ph.D. (NLM)
  • Although generative artificial intelligence (AI), a’la ChatGPT, is receiving a lot of “attention” these days, there are many other options for using AI to support biomedical research.  In order to help analyze and interpret single cell genomics data, we have found that AI approaches that retain “explainability” are especially useful in providing functional insights into the underlying biological systems being studied, in this case, the human brain.

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    2319 134 3591
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How Large Language Models (LLMs) Accelerate Data Discovery and Harmonization Archived

  • When: March 21, 2024
  • Delivery: Online
  • Presented By: Mike Nalls Ph.D. (CARD)
  • Context-aware AI implemented to facilitate data discovery and harmonization has significantly accelerated some of the common bottlenecks in the collaborative research process. Pilot work has shows major time and cost savings compared to current completely manual processes.

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Artificial Intelligence in the Biomedical Sciences Archived

  • When: February 29, 2024
  • Delivery: Online
  • Presented By: Brian Ondov, Ph.D. (NLM)
  • Artificial Intelligence (AI) is becoming increasingly ubiquitous in biomedical research, enabled by large datasets, new algorithms, and hardware improvements. In this session, Dr. Brian Ondov will introduce the basic principles of AI and describe how its various forms can help researchers in different ways, including image classification, sequence-based prediction, generative models, and language understanding. 

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    2317 349 4415
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