NLM IRP Seminar Schedule
UPCOMING SEMINARS
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Oct. 6, 2022 Kin Wah Fung
COVID Research Using Medicare Patient Data -
Oct. 11, 2022 Anastasia Nikolskaya
TBD -
Oct. 18, 2022 Michael Galperin
TBD -
Oct. 20, 2022 Travis Goodwin
TBD -
Oct. 27, 2022 Qingyu Chen
TBD
RECENT SEMINARS
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Aug. 16, 2022 Vinh Nguyen
Biomedical Vocabulary Alignment At Scale in the UMLS Metathesaurus -
Aug. 2, 2022 Feng Yang
Lesion localization and classification in dynamic cervical imaging -
July 26, 2022 Travis Goodwin
Epidemic Question Answering -
July 14, 2022 Gurmeet Kaur
Bacterial death and TRADD-N domains help define novel apoptosis and immunity mechanisms shared by prokaryotes and metazoans -
July 7, 2022 Stanley Liang
Generative Adversarial Network (GAN) for Medical Image Synthesis and Augmentation
The NLM IRP holds a public weekly seminar series for NLM trainees, staff scientists, and investigators to share details on current and exciting research projects at NLM. Seminars take place on Tuesdays at 11:00 AM, EST and some Thursdays at 3:00 PM, EST. Seminars are held in the B2 Library of Building 38A on the main NIH campus in Bethesda, MD. Due to the Covid-19 pandemic, all seminars are currently held virtually.
To schedule a seminar, click the “Schedule Seminar” button to the right, select an appropriate date on the calendar to sign up, and then complete the form. You will need an NIH PIV card to access the “Schedule Seminar” page.
Please include seminars by invited visiting scientists in the NLM IRP seminar series. These need not be on a Tuesday or Thursday.
If you would like to schedule a seminar by a visiting scientist, click the “Schedule Seminar” and complete the form. Contact NLM_IRP_Seminar_Scheduling@mail.nih.gov with questions. Please follow this link to subscribe/unsubscribe to/from the NLM IRP seminar mailing list.
Titles and Abstracts for Upcoming Seminars
(based on the current date)
COVID Research Using Medicare Patient Data
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.
TBD
TBD