Build precise searches with a visual query builder, see results in real time, and save queries for automated monitoring. No coding required.
Searching ClinicalTrials.gov directly is limited. Complex queries require manual iteration, and there's no way to combine criteria with logical precision or save searches for reuse.
ClinicaLister's visual query builder lets you construct sophisticated searches using a point-and-click interface with logical AND/OR condition groups.
Multi-Field Filtering — Combine criteria across phase, status, study type, age group, therapeutic condition, geographic location, sponsor, intervention, and more
Logical Condition Groups — Nest AND/OR groups to build precisely targeted queries
Real-Time Validation — Immediate feedback on query structure with guidance on missing or conflicting conditions
Draft Auto-Save — Queries are continuously saved as drafts, ensuring no work is lost during construction
Preview Before Execution — See expected results on a map and table before launching a full search
Diseases are recorded in clinical trial data under many different names. A search for "NSCLC" misses trials that spell it "Non-Small Cell Lung Cancer" or "Lung Carcinoma, Non-Small Cell". A search for "Lung Cancer" misses all of its subtypes entirely. Teams waste hours building regex workarounds — or, worse, quietly miss relevant trials.
ClinicaLister integrates the Monarch Disease Ontology (MONDO) — a structured, community-maintained disease vocabulary containing 33,700+ canonical terms, 111,600+ synonyms and aliases, and a full hierarchy of every disease-subtype relationship. When you type a disease into the query builder, the autocomplete returns canonical MONDO terms with every alias collapsed into one entry — and lets you expand your search to cover the entire subtree in a single click.
Canonical Autocomplete — Typing "NSCLC" returns `non-small cell lung carcinoma` with the alias hint, matching every trial that records the disease under any vocabulary variant
Subtype Expansion — Pick "Lung Cancer" and toggle "Include subtypes" to automatically match NSCLC, SCLC, adenocarcinoma, squamous cell carcinoma, and every other lung cancer subtype
Rare Disease Flag — Every disease derived from Orphanet is flagged automatically, enabling one-click filtering of rare-indication trials
Free-Text Fallback — For terms not yet in MONDO (experimental cohort descriptors, ultra-rare variants), a visible "Use free text" option preserves the original search behavior — no functionality is ever blocked
Hierarchy Popover — Click any canonical disease on an expanded trial card to see its parents, ancestors, and siblings in the MONDO tree without leaving the page
Always Current — new MONDO releases are ingested automatically, so new synonyms and trial links appear shortly after publication
Coverage today: 500,000+ trials (~85% of ClinicalTrials.gov) are linked to at least one canonical MONDO disease, with coverage continually expanding across the long tail
Batch searches against large clinical trial databases can take minutes. During that wait, you have no visibility into progress or results — and if your session drops mid-search, you lose everything.
ClinicaLister's deep search engine delivers results progressively — matching trials appear on screen as they are discovered, with a live counter showing processed trials and total matches.
Progressive Results — No waiting for the full scan to complete; review matches as they arrive
Cancel Anytime — Stop an ongoing search and keep all results found so far
Resilient Mid-Search Recovery — If your session needs to refresh or the network blips during a long-running scan, ClinicaLister recovers automatically and resumes from where it left off, preserving every result already retrieved
Rate-Aware Backoff — When the platform is under load, retry logic respects server-provided hints so your next search succeeds at the earliest viable moment
Service Health Monitoring — Transparent status indicators if backend connectivity issues arise
Optimized Batch Processing — Efficiently handles large result sets across 590,000+ indexed trials
Manually re-running searches every week to check for new trials is tedious and error-prone.
Save a query as a living cohort. Enable auto-follow and new matching trials are added to your portfolio automatically — your landscape stays current without re-running searches.
Living Cohorts — a saved query that keeps itself current as new trials match
Auto-Follow — Automatically add newly matching trials to your followed portfolio
Query Backup & Restore — Export and import query sets for team collaboration
Usage Tracking — Visual display of queries used versus plan allowance
Finding trials in specific regions requires manually scanning facility lists — impractical for large result sets.
ClinicaLister's integrated map view shows trial facility locations worldwide. Draw a polygon boundary to filter results to a specific geographic area.
Interactive World Map — Pan, zoom, and explore facility locations with marker clustering
Polygon Geographic Filter — Draw custom boundaries directly on the map to define areas of interest
Facility Drill-Down — Click any marker to view site details, address, and linked trials
Cascading Filter — Geographic boundaries apply to all views (Dashboard, Table, Drug & Devices, Monitoring)