NLM DIR Seminar Schedule
UPCOMING SEMINARS
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April 8, 2025 Jaya Srivastava
Leveraging a deep learning model to assess the impact of regulatory variants on traits and diseases -
April 15, 2025 Pascal Mutz
TBD -
April 18, 2025 Valentina Boeva, Department of Computer Science, ETH Zurich
Decoding tumor heterogeneity: computational methods for scRNA-seq and spatial omics -
April 22, 2025 Stanley Liang
TBD -
April 29, 2025 MG Hirsch
TBD
RECENT SEMINARS
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April 1, 2025 Roman Kogay
Horizontal transfer of bacterial operons into eukaryote genomes -
March 25, 2025 Yifan Yang
Adversarial Manipulation and Data Memorization in Large Language Models for Medicine -
March 11, 2025 Sofya Garushyants
Tmn – bacterial anti-phage defense system -
March 4, 2025 Sanasar Babajanyan
Evolution of antivirus defense in prokaryotes depending on the environmental virus load -
Feb. 25, 2025 Zhizheng Wang
GeneAgent: Self-verification Language Agent for Gene Set Analysis using Domain Databases
Scheduled Seminars on March 10, 2022
Contact NLMDIRSeminarScheduling@mail.nih.gov with questions about this seminar.
Abstract:
Millions of people daily depend on searching PubMed literature. Providing a reliable, comprehensive, and effective search is crucial for the medical community. To power PubMed literature search countless processes are deployed on the background. In this talk I will highlight several NLP algorithms developed in-house that have been integrated into PubMed search environment. These methods make a difference in how PubMed search handles synonyms to provide more comprehensive results. They define how PubMed recognizes and processes single citation queries, those targeted at finding specific publications. The most recently developed techniques are targeted at monitoring the validity of relevance ranking results obtained through systematic updates of the Relevance Ranking algorithm. Throughout this work, we have contributed and continue to contribute to the research and development of PubMed literature search capabilities.