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NLM Presents Ada Lovelace Computational Health Lecture
Can Data Science and AI Deliver on Its Promise for Improving Public Health?
Wednesday, November 13, 2024 | 11:00 a.m. - 12:00 p.m. ET
NLM welcomes Manisha Desai, PhD, Section Chief of Biostatistics and Director of the Quantitative Sciences Unit at Stanford University School of Medicine, to give the 2024 NLM Ada Lovelace Computational Health Lecture entitled, “Can Data Science and AI Deliver on Its Promise for Improving Public Health?” Please join us on November 13, 2024, at 11:00am in the Lawton Chiles International House (Stone House), Building 16 and online via NIH Videocast.
Ada Lovelace Day, an annual observance named for one of the first woman computer programmers, celebrates women in science, technology, engineering, and mathematics (STEM). The NLM Ada Lovelace Computational Health Lecture Series, introduced in 2020, recognizes the contributions of computer scientists in research on health and biomedicine. The series features women in STEM sectors and invites them to share their pioneering research with NIH and beyond.
Research at NLM
NLM Division of Intramural Research
Intramural research at NLM consists of the development and application of computational approaches to a broad range of problems in biomedicine, molecular biology, and health.
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Historical Collections at NLM
Biomedical and Clinical Informatics at NLM
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Efficient health care information exchange in the US and worldwide is made possible by NLM’s work with IT Data Standards.
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This set of tooling services brings together many health and biomedical vocabularies and standards to enable interoperability between computer systems.
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This training program provides biomedical and clinical informatics training and research opportunities for individuals at various stages in their career.
About NLM
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The Library started as a shelf of books in the Surgeon General’s office in 1836 but has grown to a collection of millions of print and electronic resources.
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This ten year plan outlines NLM's role in a future where data and information transform and accelerate biomedical discovery and improve health and health care.