Invest in critical NIH research to develop cures for major diseases.

April McClain Delaney · Maryland · Democratic

spending impact 0.71 specificity 0.71 extraction confidence 93%

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Occurrences

we must continue to invest in critical NIH research to help develop cures for cancer, alzheimer/dementia, heart disease and other chronic and acute diseases

Commits to continued NIH research investment for disease cures.

Working Toward Healthcare for All - April McClain Delaney
campaign · campaign_site · model gpt-5.4-mini

Evidence

McClain Delaney said she voted yes on the FY2026 three-bill minibus and highlighted that it "supports lifesaving biomedical research" by increasing NIH funding by more than $400 million, including money for cancer, Alzheimer’s, ALS, diabetes, and women’s health research.

Official House statement tying her vote to a concrete NIH funding increase in FY2026 appropriations.

partial same_term A for effort

Rep. McClain Delaney Issues Statement on Remaining House Appropriations Bills for Fiscal Year 2026
secondary · model gpt-5.4-mini · confidence 94%

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The House Science Committee’s Research and Technology page lists Rep. April McClain Delaney as a Democratic member and shows recent May 2026 activity on research and development legislation, indicating she remains active on federal research policy in the current term.

Recent committee activity shows continued engagement on federal research issues, though not a direct NIH appropriations win.

unresolved same_term

Research and Technology - House Committee on Science Space & Tech - Republicans
secondary · model gpt-5.4-mini · confidence 61%

Contest this evidence item

Assessments

partial same_term A for effort

McClain Delaney materially supported the promised NIH investment by voting for FY2026 appropriations legislation that she said increased NIH funding by more than $400 million for major disease research, including cancer, Alzheimer’s, ALS, diabetes, and women’s health. However, the evidence shows her support and House-side advancement rather than a clearly enacted federal funding outcome attributable to her, so this merits partial credit rather than full delivery.

provider codex_cli · model gpt-5.5 · confidence 84%