×
AI-designed irritable bowel disease drug enters human trials for the first time
Written by
Published on
Join our daily newsletter for breaking news, product launches and deals, research breakdowns, and other industry-leading AI coverage
Join Now

Absci’s generative AI-created antibody for irritable bowel disease enters clinical trials, marking a significant milestone for AI drug development. This Phase I trial represents one of the first attempts to secure regulatory approval for a therapy designed entirely using artificial intelligence, highlighting the pharmaceutical industry‘s ongoing efforts to transform the traditionally lengthy and expensive drug development process through AI-powered innovation.

The big picture: Absci has begun Phase I clinical trials for ABS-101, an antibody therapy for irritable bowel disease created from scratch using generative AI.

  • The company has officially dosed the first patients in the trial, administering the drug to healthy volunteers to test for safety.
  • This milestone transforms Absci into a clinical-stage biotech company and represents a landmark moment in AI-driven drug discovery.

Why this matters: No drugs developed entirely by AI have yet received regulatory approval, making each advancement toward this goal particularly significant for the pharmaceutical industry.

  • Phase I is the first of three required clinical trial phases that must be completed before a drug can be considered for FDA approval.
  • The primary purpose of this initial phase is to demonstrate the absence of adverse side effects when the compound enters human subjects.

By the numbers: Absci claims AI has dramatically accelerated their development timeline and reduced costs.

  • The company brought ABS-101 to clinical trials in just 24 months at a cost of $15 million.
  • This represents a significant improvement over traditional development methods, which typically require 5 years and $50-$100 million.

Key details: The Phase I trial follows rigorous scientific protocols to establish safety and gather preliminary data.

  • The study is randomized, double-blind, and placebo-controlled, involving approximately 40 healthy adult participants.
  • Researchers will evaluate safety, tolerability, pharmacokinetics, and pharmacodynamics, with interim data expected in the second half of 2025.

The technical advantage: The ABS-101 antibody targets a specific protein linked to inflammatory autoimmune diseases.

  • The generative AI-designed therapy binds to the TL1A protein in immune cells, whose over-expression has been connected to inflammatory conditions.
  • The company aims to address previous shortcomings in antibody therapies, including the development of anti-drug antibodies in patients.

Between the lines: Absci’s AI approach has enabled unconventional advantages even in the earliest trial phase.

  • The therapy is already being administered subcutaneously, an unusual approach for Phase I trials.
  • This delivery method brings the experimental therapy closer to its final, patient-friendly form earlier in the development process.
This AI-designed drug for IBD was just given to human subjects for the first time

Recent News

Artist-curator Adam Heft Berninger sees opportunity in new NYC gallery venture

New Manhattan gallery showcases artists using generative code and machine learning while intentionally avoiding the AI art label that has dominated recent discourse.

Toronto AI safety startup Trajectory Labs launches

Toronto's new AI safety hub creates dedicated workspace and community to unlock local talent in addressing global AI challenges.

LegoGPT model creates custom Lego sets for free in novel form of AI “buildout”

Carnegie Mellon's open-source AI tool transforms text prompts into physically stable Lego designs with detailed, step-by-step building instructions.