Literature Review Network
Saving lives by eliminating delays in research.
The all-in-one software suite for responsible evidence-based research. Collaborative, auditable, automated.
Trusted by researchers at the world's top pharmaceutical, medical device, and biotechnology companies and university hospital systems
Methods & compliance
LRN is built for transparent, reproducible evidence work—PRISMA 2020–aligned reporting, PICO / PICOT / PICO-variant framing, and Explainable AI with human verification.
PRISMA 2020
Reporting aligned to research transparency and reliability standards.
PICO frameworks
Questions map to PICO, PICOT, and other PICO-variants automatically.
Human verification
Explainable decisions stay open for expert review—not a black box.
Audit-ready
Evidence trails designed for scrutiny from hypothesis to actionable answer.
No silos
Unified workflows across your organization—evidence, reports, and narratives in one platform.
MFA / 2FA
Integratable with Google or Microsoft authentication for enterprise sign-in.
Choose your lens to view
Open question
What does the published evidence support for this indication—and can Explainable AI show exactly how that conclusion was reached?
Medical Affairs teams use the Literature Review Network with Explainable AI to monitor evidence, synthesize insights, and activate materials that stand up in review.
Medical Affairs · workflow
Monitor evidence · with Explainable AI
Keep the literature landscape current—and inspectable
Medical Affairs teams watch new publications against a framed question. Explainable AI surfaces why each record is relevant so monitoring is never a black-box alert feed.
Incoming evidence
3 new · Explainable AISynthesize insights · Explainable AI
Turn screened literature into defensible themes
Explainable AI links each synthesis claim to include/exclude rationale and source studies—so Medical Affairs can brief leadership with the trail, not just the headline.
Peer-reviewed LRN models reached 84.78–85.71% classification accuracy while keeping the decision trail inspectable.
Create materials
Medical materials grounded in evidence—with citations your team can stand behind.
From scientific narratives to slide-ready themes, Create Materials keeps subject-matter experts in the loop and attaches source trails from Explainable AI screening.
Sample deliverable
LRN compressed an 11-month manual systematic review process into roughly 289 minutes over 5 days—with themes aligned to clinical researchers’ findings.
arXiv:2408.05239 · The Literature Review Network · Explainable AI
Review and activate · Explainable AI
Approve the trail—then put materials to work
Review and Activate closes the loop: human checkpoints, AI Package Insert lineage, and activation-ready outputs your Medical Affairs stakeholders can sponsor.
Continue
See this workflow for your team
Request a 60-minute walkthrough to experience LRN with Explainable AI.
Request a demoLRN Platform
An explainable AI research platform, scaled to how life sciences teams actually work
01
LRN Evidence Platform
SLRs, scoping and rapid reviews, guideline evidence summaries, meta-analyses, and method development—with explainable AI and audit-ready trails.
Learn more
02
LRN Analyses & Reports
Turn evidence into CERs, HTA reports, and clinical, statistical, and HEOR analyses with traceable, source-backed findings.
Learn more
03
LRN Narrative Studio
Transform approved evidence into source-backed marketing and commercial materials with templates, citations, and MLR-ready review.
Learn more
Publications
Evidence from the field
Peer-reviewed studies and abstracts powered by Ziplitics explainable AI.
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01
Featured
The Literature Review Network — explainable AI for SLR, meta-analyses, and method development
Methods study · arXiv:2408.05239
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02
Clinical
XAI in pressure injury prevention — human–AI collaboration in systematic review
Methods study
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03
Device
Mouldable technology in ostomy care — scoping review
Scoping review
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04
Ops
From Manual to Machine — shifting review operations
Abstract · methods
About
Built for organizations that cannot accept a black box
Ziplitics is redefining preclinical and clinical research in the life sciences. Over four years we developed and validated LRN—an explainable AI platform that expedites evidence work for pharmacotherapies and medical devices.
Researchers at pharmaceutical, medical device, and biotechnology companies—and university hospital systems—use Ziplitics when evidence quality and explainability are non-negotiable. Our mission is to bring explainable AI into healthcare so every decision is led by expertise and every result is reliable and reproducible.
We envision a world where no life is lost to delays in research—shortening the path from bench to bedside while upholding transparency, accuracy, reproducibility, and efficiency.
About ZipliticsWhat we stand behind
- No black boxes — every AI decision can be inspected
- No silos — unified workflows across your organization
- MFA / 2FA with Google or Microsoft authentication
- Enterprise-grade reliability and security for large life sciences teams
- Customizable workflows matched to your research goals
- Hands-on support from experts in evidence-based research and explainable AI
Contact
Talk with us about your next evidence review.