The National Cancer Institute (NCI) will hold a pre-application webinar Wednesday, Oct. 30, 2 – 3 p.m., for the Informatics Technology for Cancer Research (ITCR) Education Resource Funding Opportunity Announcement (FOA) (RFA-CA-19-042). NCI staff will provide orientation to the FOA, technical assistance to potential applicants by explaining the goals and objectives, and... Read more
The Accelerating Therapeutics for Opportunities in Medicine (ATOM) Consortium is accepting applications for their Cancer Drug Discovery Data Scientist Fellowship program. This one-year appointment in computationally-driven cancer drug discovery is part of a unique public-private partnership and will begin in early 2020. Scientists with doctoral degrees and backgrounds in biomedical or computational disciplines interested in... Read more
Want to learn more about why the National Institutes of Health is encouraging the Fast Healthcare Interoperability Resources (FHIR) standard for research? Register now for a free webinar, which will be held Tuesday, Oct. 8, 2019, from 2-3 p.m. EDT.
Two speakers will discuss the NIH’s decision to promote the use of FHIR in electronic health records systems:
Clem J. McDonald, M.D.... Read more
The National Institutes of Health recently awarded two contracts related to the use of the Fast Healthcare Interoperability Resources (FHIR) standard in biomedical research.
FHIR is a standardized way of transmitting health data from one health information system to another through an application programming interface. Use of a standard such as FHIR could accelerate the use of clinical data for research. The FHIR standard is already broadly used in health care, and several... Read more
The Sequence Read Archive (SRA) is the largest publicly available repository of raw, next-generation sequence data, and half of it is now available in the cloud.
The National Center for Biomedical Information (NCBI) at the National Library of Medicine (NLM) recently moved the five petabytes of public SRA data to the cloud with support from the National Institutes of Health (NIH) Science and Technology Research... Read more
The Office of Data Science Strategy at the National Institutes of Health recently issued a Request for Information (RFI) seeking public input on how the Health Level Seven International (HL7®) Fast Healthcare Interoperability Resources (FHIR®) standard could be used for research purposes.
FHIR is a standardized way of transmitting health data from one health information system to another through an... Read more
Register now to attend the Artificial Intelligence Healthcare – From Prevention & Diagnostics to Treatments Workshop on Oct. 1, 2019, from 8:30 a.m. – 5:30 p.m. The workshop will be held in the Ruth Kirschstein Auditorium, Building 45, on the main NIH campus in Bethesda, Md., and online via videocast.
Attendees may... Read more
The Metadata Automation DREAM Challenge invites developers, data scientists, data curators and all professionals from the data science community to develop a solution to automate metadata annotation.
Participants will be asked to submit a solution to automate metadata annotation using available research data annotations and established terminologies/ontologies like:
Edward Feigenbaum, Ph.D., will deliver the Annual NLM Lindberg-King Lecture on the origins and future of AI.
September 11, 2019 -- 2:00PM - 3:00PM | Lister Hill Auditorium, Building 38A
AI’s first wave produced many computer models of expertise, behaving at human levels of performance (and beyond) in narrow areas of intellectual and professional work. Presently, the AI field’s attention is on perception and deep learning.... Read more
Research careers often start with a student’s first laboratory experience, which is guided by a professor; these experiences can spark a lifetime quest for understanding how things work and why. Young investigators travel on this quest for learning and conduct research – as graduate and then as postdoctoral fellows – before launching an independent career, often as an assistant professor. Having the ability to connect research contributions over time, and over laboratory and institution... Read more