Insilico Medicine's AI-generated drug INS018_055 enters Phase II human clinical trials for idiopathic pulmonary fibrosis
“Insilico Medicine's AI-generated drug INS018_055 enters Phase II human clinical trials for idiopathic pulmonary fibrosis” documents a Drug Discovery & Development deployment in Pharmaceutical & Life Science at Insilico Medicine. www.cnbc.com reports drug development timeline to phase ii: ~3 years (2020 discovery to 2023 Phase II); this directory has not independently verified that result.
Evidence at a glance
- Evidence status:
- Automated evidence gate passed
- Deployment timeframe:
- Not reported by source
- Reported outcome metrics:
- 3 cited below
- Directory entry published:
- Source link checked:
The source-link check confirms reachability, not independent re-verification of every claim.
Source-reported figures — cited source: www.cnbc.com
The Challenge
Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive lung disease affecting ~100,000 people in the U.S. with a prognosis of death within 2–5 years if untreated. Existing treatments only slow disease progression and cause uncomfortable side effects. Insilico sought a 'moonshot' molecule targeting a novel biological mechanism rather than incrementally improving existing therapies.
The Solution
Insilico Medicine applied its proprietary generative AI platform to simultaneously discover a novel disease target and design a novel small-molecule drug candidate (INS018_055) from scratch. The AI performed both target identification and molecular generation — making it the first drug with both an AI-discovered target and an AI-generated molecular design. Discovery work began in 2020 and the compound was advanced into a randomized, double-blind, placebo-controlled Phase II trial.
Results
INS018_055 became the first fully generative AI drug to reach Phase II human clinical trials, enrolling patients in China with plans to expand to 60 subjects across 40 sites in the U.S. and China. The Phase II readout is expected in 2024. Insilico also has two additional AI-assisted compounds in the clinical stage: a COVID-19 drug in Phase I and an FDA-cleared cancer drug (USP1 inhibitor for solid tumors).
Key Takeaways
- End-to-end generative AI can compress the drug discovery timeline from target identification through clinical candidate nomination, bypassing years of traditional screening.
- Validating an AI drug-discovery platform requires advancing compounds all the way into human trials — in-silico results alone are insufficient proof.
- A single AI platform can be applied across multiple disease areas simultaneously, enabling a diversified clinical pipeline from one technology investment.
Explore Related
Details
- Industry
- Pharmaceutical & Life Science
- Use Case
- Drug Discovery & Development
- AI Technology
- Large Language Models & Generative AI
- Company Size
- Startup
- Company
- Insilico Medicine
- Evidence status
- Automated evidence gate passed
- Deployment timeframe
- Not reported by source
- Directory entry published
- Source link checked
Cited source
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