Lunai Bioworks begins AI-Driven analysis of phase 2 colorectal cancer
Lunai Bioworks launches AI analysis of Phase 2 colorectal cancer trial data using its Augusta platform to identify responsive patient subgroups and refine trial design.
Lunai Bioworks begins AI-Driven analysis of phase 2 colorectal cancer

Lunai Bioworks has launched an AI-powered collaboration to analyze data from a Phase 2 metastatic colorectal cancer trial. Using its Augusta platform, the company aims to identify responsive patient subgroups and optimize future trial designs through advanced imaging and clinical data integration.
Lunai Bioworks (NASDAQ: LNAI) has initiated a new collaboration focused on applying artificial intelligence to oncology clinical trial data, marking another step in the company’s push to expand its AI-powered drug discovery capabilities. The Sacramento-based biotech firm announced that it will work with an unnamed clinical-stage partner to analyze data from a randomized Phase 2 trial in metastatic colorectal cancer.
At the core of the collaboration is Lunai’s proprietary Augusta AI platform, which will be used to evaluate de-identified patient data from the trial. The analysis will focus on key clinical endpoints, including overall survival and disease progression, with the goal of identifying patient subgroups that may respond more favorably to the investigational therapy being studied.
AI to Enhance Trial Insights
The company plans to combine traditional clinical variables with AI-derived imaging features and temporal response patterns. By layering these advanced data streams, Lunai aims to uncover patterns that may not be immediately visible through conventional statistical methods alone. This integrated approach could help refine patient stratification strategies, improve trial design, and potentially enhance the probability of success in future studies.
Patient stratification, which involves grouping participants based on biomarkers, genetic traits, or disease characteristics, plays a crucial role in modern clinical research. Better-defined subgroups can reduce variability within trial populations and increase statistical power, making it easier to detect meaningful treatment effects.
David Weinstein, Chief Executive Officer of Lunai Bioworks, said the collaboration demonstrates the potential of artificial intelligence to extract deeper insights from existing oncology datasets. According to the company, the initiative reflects a broader industry shift toward data-driven precision medicine.
Pilot Project with Expansion Potential
The agreement begins as a defined pilot project. However, both parties may expand the collaboration into a broader, multi-study commercial program if the initial analysis delivers promising results. Future applications could extend beyond colorectal cancer to additional tumor types and treatment settings.
Financial terms of the partnership were not disclosed.
Broader AI and Biotech Developments
This announcement follows several recent milestones for Lunai Bioworks. The company recently secured its first Letter of Intent to license a next-generation immune cell therapy that showed complete regression of pancreatic tumors in preclinical studies. That program has been supported by a peer-reviewed publication and a pre-Investigational New Drug meeting with the U.S. Food and Drug Administration, signaling progress toward a Phase I clinical trial.
Lunai has also expanded into neurological and addiction-related research. It launched a drug discovery program targeting Alcohol Use Disorder under a National Institutes of Health-supported initiative. In addition, the company used its Augusta platform to identify three distinct subtypes of Parkinson’s disease through proteomic analysis of more than 650 participants.
Another recent development includes the deployment of Sentinel, an AI safeguard designed to prevent the generation of potentially harmful novel chemical agents.
Together, these efforts highlight Lunai Bioworks’ strategy of leveraging AI across multiple therapeutic areas while strengthening its position in the evolving intersection of artificial intelligence and biotechnology.

