AI-Powered Research Discovery

Find your next
meta-analysis topic.

Metalyze turns a broad research idea into a validated, novel topic for your systematic review — using AI to surface research gaps and generate expert search strings for PubMed, Cochrane, and more.

See how it works
What Metalyze does

Built for serious researchers,
not just search engines.

Identified Gaps
Pediatric hypertension vs RAAS Long-term outcomes >5yr Novel — High Feasibility
0 competing meta-analyses found
Gap Analysis

Intelligent literature synthesis

Metalyze uses AI to reason over your research area and surface novel, feasible topic proposals — mapping gaps in the existing literature and flagging where systematic evidence is thin or missing.

  • AI-driven research gap identification and novelty assessment
  • Novel topic proposals with specificity scoring
  • Research gap mapping against the existing review landscape
Feasibility

Dynamic feasibility scoring

After you upload your exported search results, Metalyze's AI triages citations for relevance and generates a feasibility score — assessing the density of existing RCTs and competing reviews so you know whether to proceed before investing months of work.

  • AI triage of uploaded citations by relevance
  • Competing review landscape evaluation
  • Publication potential indicators
85% Feasibility
120+
Available RCTs
3
Competing Reviews
PICO → Search String
P Hypertensive patients
I ACE inhibitors
C ARBs
O Cardiovascular events
↓ Generated
("hypertension"[MeSH])
AND ("ACE inhibitors"[All])
AND ("ARB"[All])
AND ("cardiovascular"[MeSH])
Query Crafting

Expert search string generation

Translate your PICO framework into expert-level search strings ready to run in PubMed, Cochrane Library, and ClinicalTrials.gov. Eliminate guesswork and go straight from your question to a comprehensive, reproducible search.

  • PICO framework optimisation with MeSH terms
  • Separate queries for PubMed, Cochrane, and ClinicalTrials.gov
  • Boolean logic and filter suggestions
Our mission

Where innovation meets evidence-based medicine

Systematic reviews are the pinnacle of evidence-based medicine, yet the path to a meaningful review is often blocked by an arduous, manual, and inefficient discovery process. Months can be lost searching for a topic that is both novel and viable.

Metalyze was engineered to dismantle this barrier. It's a fusion of a researcher's insight and the power of artificial intelligence, designed to accelerate the most critical phase of your work.

We empower you to move beyond the search, and focus on the synthesis — where real impact is made.

How it works
01
Input your idea or PICO
Enter a broad topic, a partial PICO, or a specific research question — Metalyze works from whatever stage you're at.
02
AI surfaces a novel research gap
The AI reasons over the literature landscape and proposes a specific, feasible PICO with a novelty assessment.
03
Generate expert search strings
Get ready-to-run queries for PubMed, Cochrane Library, and ClinicalTrials.gov — then run them yourself and export the results.
04
Upload, triage & get your final assessment
Upload your exported citations, let AI triage relevance, then generate a final feasibility score and recommendation.
Research insights

Explore our blog

Guides on meta-analysis methodology, systematic review best practices, and how to use AI to accelerate your research workflow.

Visit the blog
The team

Built by researchers, for researchers.

Musa Masood
Founder & Developer
Student, Allama Iqbal Medical College, Lahore
Saad Masood
Co-Founder
Student, Allama Iqbal Medical College, Lahore
Abubakar Amjad
Co-Developer
Student, National University of Sciences & Technology, Islamabad
Get in touch

Questions, ideas, or bugs?

Suggest a Feature

Have an idea that could make Metalyze better? We review every suggestion.

Report a Bug

Found something that's not working right? Let us know and we'll fix it promptly.