NLM DIR Seminar Schedule
UPCOMING SEMINARS
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Jan. 20, 2026 Anastasia Gulyaeva
TBD -
Jan. 22, 2026 Mario Flores
AI Pipeline for Characterization of the Tumor Microenvironment -
Jan. 27, 2026 Zhaohui Liang
TBD -
Jan. 29, 2026 Mehdi Bagheri Hamaneh
FastSpel: A simple peptide spectrum predictor that achieves deep learning-level performance at a fraction of the computational cost -
Feb. 3, 2026 Matthew Diller
TBD
RECENT SEMINARS
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Jan. 8, 2026 Won Gyu Kim
LitSense 2.0: AI-powered biomedical information retrieval with sentence and passage level knowledge discovery -
Dec. 16, 2025 Sarvesh Soni
ArchEHR-QA: A Dataset and Shared Task for Grounded Question Answering from Electronic Health Records -
Dec. 2, 2025 Qingqing Zhu
CT-Bench & CARE-CT: Building Reliable Multimodal AI for Lesion Analysis in Computed Tomography -
Nov. 25, 2025 Jing Wang
MIMIC-EXT-TE: Millions Clinical Temporal Event Time-Series Dataset -
Oct. 21, 2025 Yifan Yang
TBD
Scheduled Seminars on Oct. 6, 2022
Speaker
Kin Wah Fung
PI/Lab
Time
3 p.m.
Presentation Title
COVID Research Using Medicare Patient Data
Location
Virtual - see link below
Contact NLMDIRSeminarScheduling@mail.nih.gov with questions about this seminar.
Abstract:
In the early days of the pandemic, isolated reports suggested beneficial or harmful effects of some maintenance drugs for chronic diseases (e.g., hypertension, hyperlipidemia) on the outcome of COVID-19. Using Medicare claims data, we used extended Cox regression to study the association between 8 common maintenance drugs/drug classes and the susceptibility to and severity of COVID-19. In another ongoing study, we estimated the incidence and healthcare impact of long COVID in Medicare patients.