Accelerating FAIR4RS Clinical Patient Accrual through Standardized Infrastructure for In-Silico Clinical Phenotyping
About This Grant
PROJECT ABSTRACT/SUMMARY The main objective of this proposal is to obtain support for Andrew Wen, MS, a research software engineer and data scientist at the University of Texas Health Science Center at Houston. Mr. Wen supports the development and dissemination of research tooling and infrastructure at the Center for Translational AI Excellence and Applications in Medicine (TEAM-AI) under the direction of Hongfang Liu, PhD. Mr. Wen's career has a demonstrated focus in the design, implementation, and dissemination of open-source research infrastructure, particularly with a focus on management, analysis on, and information retrieval from large repositories of unstructured clinical research data. This award would allow for 3 years of funding for Mr. Wen to lead development and dissemination of research tooling to facilitate accrual and management of patient cohorts via in-silico clinical phenotyping, with an initial use case on rare disease cohort identification. The benefits of development and dissemination of this tooling are two-fold: 1) by distributing tooling suited for the purpose, we accelerate data cohort accrual, which is often a bottlenecking step in clinical artificial intelligence research, particularly with respect to query generation/development from natural language and human-in-the-loop evidence review and relevance judgement, and 2) improving research reproducibility and compliance with FAIR4RS principles by ensuring that appropriate metadata for dataset curation is routinely stored and retained as part of standard, sharable, tooling.
Grant Summary
Accelerating FAIR4RS Clinical Patient Accrual through Standardized Infrastructure for In-Silico Clinical Phenotyping is a NLM - National Library of Medicine grant providing up to $160K for university, nonprofit, healthcare org. Applications are due 2029-07-31 (open). Check eligibility and apply with FindGrants.
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Focus Areas
Eligibility
How to Apply
Up to $160K
2029-07-31
- 1Confirm your organization is eligible for Accelerating FAIR4RS Clinical Patient Accrual through Standardized Infrastructure for In-Silico Clinical Phenotyping from NLM - National Library of Medicine, checking organization type, location, and any population or project requirements.
- 2Gather the required documents and information, including your organization details, project plan, and budget figures.
- 3Draft your application narrative and budget addressing the funder's priorities and review criteria. FindGrants can draft each section for you to review and edit.
- 4Review every section against the requirements checklist, then export a submission-ready application pack and submit it to NLM - National Library of Medicine before the deadline.
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Accelerating FAIR4RS Clinical Patient Accrual through Standardized Infrastructure for In-Silico Clinical Phenotyping: Frequently Asked Questions
Who is eligible for the Accelerating FAIR4RS Clinical Patient Accrual through Standardized Infrastructure for In-Silico Clinical Phenotyping?
Accelerating FAIR4RS Clinical Patient Accrual through Standardized Infrastructure for In-Silico Clinical Phenotyping is offered by NLM - National Library of Medicine and is generally open to university, nonprofit, healthcare org. It is open to organizations nationwide unless the funder specifies otherwise. Review the specific eligibility terms before applying, since funders set their own requirements around organization type, location, and the population or project being served.
How much funding does the Accelerating FAIR4RS Clinical Patient Accrual through Standardized Infrastructure for In-Silico Clinical Phenotyping provide?
Accelerating FAIR4RS Clinical Patient Accrual through Standardized Infrastructure for In-Silico Clinical Phenotyping provides up to $160K per award from NLM - National Library of Medicine. Actual award sizes depend on the scope of your project, available program funds, and the number of applicants, so build a budget that reflects realistic, allowable costs rather than the maximum figure.
When is the Accelerating FAIR4RS Clinical Patient Accrual through Standardized Infrastructure for In-Silico Clinical Phenotyping deadline?
Applications for Accelerating FAIR4RS Clinical Patient Accrual through Standardized Infrastructure for In-Silico Clinical Phenotyping are due 2029-07-31 (open). Because deadlines can change, verify the date with the funder, NLM - National Library of Medicine, and give yourself enough time to prepare a complete, competitive application before the close date.
How do you apply for the Accelerating FAIR4RS Clinical Patient Accrual through Standardized Infrastructure for In-Silico Clinical Phenotyping?
To apply for Accelerating FAIR4RS Clinical Patient Accrual through Standardized Infrastructure for In-Silico Clinical Phenotyping, confirm your eligibility, gather the required documents, and prepare a narrative and budget that address the funder's priorities. FindGrants guides you step by step and can draft each section, then exports a submission-ready application pack for this grant from NLM - National Library of Medicine.