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Mine grant databases and the literature to find cancer types and questions with heavy burden and zero active projects, then publish the list so funders and scientists can go there.
Cross the burden matrix (cancer type by stage by question: prevention, detection, metastasis, resistance, supportive care) against active grants, registered trials and recent publications to identify 'white space': cells with high burden and little or no activity. Publish a ranked list each year with suggested first experiments, and pair it with a dedicated call. Language models can classify grant abstracts and trial registrations at scale, which makes the map cheap to maintain.
Shares ClinicalTrials.gov, Failures are hidden, Funding follows fashion, not burden.
Shares ClinicalTrials.gov, Failures are hidden, PubMed & Europe PMC.
Shares A public dashboard of research money per death for every cancer, Funding follows fashion, not burden.
Shares ClinicalTrials.gov, Failures are hidden.
Shares ClinicalTrials.gov, Failures are hidden.
Shares ClinicalTrials.gov, Funding follows fashion, not burden.
Shares ClinicalTrials.gov, Failures are hidden.
Shares ClinicalTrials.gov, Failures are hidden.