About TrialsAlert

Helping patients and caregivers stay informed about clinical trial research for their conditions.

What is TrialsAlert?

TrialsAlert is a clinical trial monitoring service that automatically scans ClinicalTrials.gov — a database of over 400,000 clinical trials maintained by the U.S. National Library of Medicine — every day. Using artificial intelligence, TrialsAlert classifies each new or updated trial by its potential impact on specific medical conditions, including factors like trial phase, treatment type, breakthrough potential, and patient accessibility. Every Friday, subscribers receive a weekly research briefing that explains the most important trial developments in plain English, without medical jargon. The service is designed for patients and caregivers who want to stay informed about research progress for conditions like cancer, diabetes, Alzheimer's disease, and 400+ other conditions. TrialsAlert also generates professional clinical trial reports that patients can share directly with their physicians to inform treatment discussions.

Our mission

Clinical research moves fast. Over 400,000 trials are registered on ClinicalTrials.gov, with hundreds updated every day. For patients and caregivers tracking a specific condition, keeping up is nearly impossible. TrialsAlert exists to close that gap. We scan ClinicalTrials.gov daily, use AI to identify the trials that matter most, and deliver plain-language weekly research briefings directly to your inbox. No jargon. No noise. Just the science that is relevant to you.

How it works

  1. You enter your condition — Our AI enriches your keyword with medical terminology, synonyms, and related treatments to ensure comprehensive matching.
  2. We scan daily — Every day, we fetch new and updated trials from ClinicalTrials.gov. Each trial is scored by our AI across six dimensions: phase importance, breakthrough potential, patient accessibility, condition prevalence, sponsor credibility, and relevance.
  3. You get a weekly briefing — Every Friday, you receive a research briefing summarizing the week's findings for your condition. Trials are classified as breakthrough, notable, or routine, and explained in plain English.
  4. Share with your doctor — Generate a professional clinical trial report you can email to your physician or bring to your next appointment.

Our data source

All trial data comes from ClinicalTrials.gov, a database of clinical studies maintained by the U.S. National Library of Medicine at the National Institutes of Health. It is the world's largest registry of clinical trials. We do not conduct clinical trials, recruit participants, or have any affiliation with trial sponsors. We are an independent monitoring and information service.

What we are not

Founded by Victor Lafforgue

Victor Lafforgue is the founder of TrialsAlert. He works at the intersection of health technology and patient advocacy, and built TrialsAlert after watching family and friends spend hours every week searching ClinicalTrials.gov for updates that a better tool could have surfaced automatically.

Why I built TrialsAlert. Clinical trial information is public, but it is not accessible. ClinicalTrials.gov lists over 400,000 studies in clinical terminology that most patients cannot read. I wanted a service that would watch the database every day on behalf of each patient, surface only what is relevant to their specific condition, and explain it in plain English. That is what TrialsAlert does. It is the tool I wished existed when someone close to me was navigating a new diagnosis.

Connect: LinkedIn | vic.lafforgue@gmail.com

How we use AI

TrialsAlert is transparent about how AI is used across the product. Each trial is scored by OpenAI gpt-4.1-mini across six dimensions including phase importance, breakthrough potential, and patient accessibility. AI also generates condition summaries, weekly blog posts, and doctor-ready report drafts. All AI output is validated programmatically and reviewed by the editorial team before being shown to subscribers or indexed for public pages. We never use AI to produce medical advice. See our editorial policy for the full disclosure.

Contact

Questions, feedback, or partnership inquiries: support@trialsalert.com