Medicine and clinical research
Test hundreds of trial designs before enrollment.
Antinuous simulates many trial designs and power scenarios at once and screens literature for systematic reviews with a log of each decision. Each number links to its study or the code that produced it.
Use cases
Run a systematic review with an audit trail
Screening thousands of abstracts and extracting data from each study takes a team many months.
You ask
Find randomized trials of SGLT2 inhibitors in heart failure with preserved ejection fraction, extract hospitalization outcomes, and pool them in a meta-analysis.
What it does
- Searches PubMed and Europe PMC with a logged search strategy and flags retracted papers.
- Screens each abstract against your inclusion rules and records the reason for every exclusion.
- Reads included papers in full and extracts outcomes into a sheet, with each cell checked against its source.
- Runs the meta-analysis in the code workspace and writes it up in a literature review notebook.
You get
A notebook with a screening log, an extraction sheet and pooled results.
Records foundThousands
Abstracts screened inHundreds
Full texts readDozens
Studies includedA few
Each screening stage is logged with a reason.
Who it's for
Clinical researchersRun systematic reviews with a full screening log.
BiostatisticiansSimulate trial designs and power in a reproducible notebook.
Drug safety scientistsSee new safety reports and papers flagged as they appear.
Medical affairs teamsCompare a draft protocol with similar past trials.
Works with
PubMed
ClinicalTrials.gov
ChEMBL
PubChem
Slack
Google Slides