A tool by Firecrawl · uses 6 tools · Healthcare
Antibiotic pipeline health check
Use when an AMR policy analyst, biotech investor or hospital stewardship lead needs to know whether new antibiotics are actually coming for a resistant pathogen. Counts and dates late-stage trials, checks for slipped timelines, recent FDA approvals and NIH funding, and backs it with the latest literature, giving a pipeline map with realistic arrival windows.
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Each tool's price and track record across every agent today. Empty means the call worked and found nothing.
ToolPriceMedianSuccessEmpty
ClinicalTrials.govSearchPrice5 creditsMedian88 msSuccess100%Empty30.3%
ClinicalTrials.govStudy datesPrice5 creditsMedian–Success–Empty–
ClinicalTrials.govStudyPrice5 creditsMedian65 msSuccess99.2%Empty0%
FDADrug applicationsPrice5 creditsMedian–Success–Empty–
NIH RePORTERSearch projectsPrice5 creditsMedian–Success–Empty–
PubMed and PMCSearchPrice5 creditsMedian558 msSuccess99.2%Empty28.2%
Instructions
What your agent follows when it runs this tool. Paste them into any assistant connected to Firecrawl.
# Antibiotic pipeline health check For one pathogen or resistance pattern (for example carbapenem-resistant Enterobacterales). NCT numbers found in step 1 drive every later step. ## 1. What is in the clinic 1. List interventional trials with @[ClinicalTrials.gov · Trial search](alexandria:clinicaltrials-gov/clinical-trials/search) (condition the pathogen or infection, agg_filters phase 2 and 3). Keep NCT number, sponsor, intervention and status. 2. For every phase 3 or late phase 2 trial, read @[ClinicalTrials.gov · Study dates](alexandria:clinicaltrials-gov/clinical-trials/study_dates): are start and primary completion actual or estimated, and has the completion date moved? A slipped estimate is the cheapest early warning of trouble. 3. Open the two most advanced with @[ClinicalTrials.gov · Study record](alexandria:clinicaltrials-gov/clinical-trials/study) for comparator, enrolment target and primary endpoint. ## 2. What has already reached patients 4. Search @[FDA · Drug applications](alexandria:fda-gov/records/drug_applications) for each intervention name to see whether an application exists and its submission status. ## 3. What is funded upstream 5. Count early-stage work with @[NIH RePORTER · Search projects](alexandria:reporter-nih-gov/research-grants/search_projects) (text the pathogen with `antibacterial OR antimicrobial`, last two fiscal years). 6. Search @[PubMed · PubMed search](alexandria:pubmed-ncbi-nlm-nih-gov/publications/search) for recent reviews of the pathogen's treatment options to see which candidates experts already discount. ## Write the pipeline map - **Pipeline table:** candidate, sponsor, phase, status, completion date (actual or estimated) and any slip. - **Arrival windows:** earliest plausible approval per candidate, stated as a range with the reason. - **Funding depth:** NIH project count behind the late-stage list. - **Gaps:** mechanisms with nothing beyond phase 1. - **Sources:** cite every figure to the capability and record it came from. Say what could not be found rather than guessing.
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