• Home
  • Biopharma AI
  • How GSK-Backed Onc.AI Is Using Deep Learning Radiomics to Disrupt Imaging Biomarkers in Biopharma Trials
Image

How GSK-Backed Onc.AI Is Using Deep Learning Radiomics to Disrupt Imaging Biomarkers in Biopharma Trials

Key Highlights:

  • Onc.AI unveils FDA breakthrough-designated Serial CTRS model at ASCO25 with strong validation across real-world and Pfizer clinical trial data.
  • Demonstrated early prediction of survival and treatment response in NSCLC using routine CT imaging—outperforming traditional RECIST 1.1.
  • Collaborations with Baylor Scott & White, University of Rochester, and Pfizer reinforce clinical readiness of Onc.AI’s radiomic platform.

Reinventing RECIST: How Onc.AI’s Serial CTRS is Transforming Imaging Biomarkers
Onc.AI is redefining how oncology imaging data is interpreted through its deep learning-powered Serial CTRS model. Unveiled at ASCO25, the AI model delivers survival predictions and early non-responder identification using routine CT scans. In validation studies with Pfizer and Baylor Scott & White, the model consistently outperformed RECIST 1.1, the current clinical standard. The breakthrough offers a game-changing advantage in dynamic therapy monitoring and patient stratification.

How Onc.AI Bridges AI and Clinical Practice for NSCLC Therapy Decisions
By delivering real-time prognostic insights, Onc.AI equips medical oncologists with actionable intelligence for early treatment adjustments in late-stage NSCLC. The platform, validated both in real-world datasets and pharma-sponsored trials, is shaping a new frontier in personalized oncology care. Poster presentations at ASCO25 by Dr. Ronan Kelly and Dr. Nicholas Love highlight its clinical relevance in adapting first-line immunotherapy strategies.

Collaborative Data Science Driving Clinical Impact
The strength of Onc.AI’s findings stems from strategic collaborations with Pfizer, Baylor Scott & White, and the University of Rochester Medical Center. From image harmonization to response prediction using deep learning radiomic features, these partnerships emphasize the model’s generalizability and value for both academic and pharmaceutical stakeholders.

Backed by Leading Investors and Cancer Research Institutions
Onc.AI’s innovation is supported by top-tier investors including GSK’s Action Potential VC and MassMutual, along with the National Cancer Institute SBIR program. As the company expands adoption of its FDA-designated Serial CTRS, its impact is accelerating both at the point-of-care and within global oncology clinical development.

Releated Posts

Could the Algen Biotechnologies – AstraZeneca $555 Million AI-Driven Drug-Discovery Pact Redefine How Immunology Therapies Are Developed?

Key Highlights / Executive Take-aways: Strategic Significance of the PartnershipThe alliance between Algen Biotechnologies and AstraZeneca marks a…

ByByAnuja SinghOct 26, 2025

Can Takeda and Nabla Bio’s $1 Billion AI Alliance Redefine the Future of Protein Therapeutics?

Key Highlights: AI Takes Center Stage in Takeda’s R&D RebootAfter narrowing its research focus to small molecules, biologics,…

ByByAnuja SinghOct 26, 2025

Could Cohere’s New Paris Office Accelerate AI Adoption Across Europe’s Healthcare and Biopharma Sector?

Key Insights: Expanding Footprint in Europe Cohere, a Canadian AI firm known for developing large language models and…

ByByAnuja SinghSep 16, 2025

Could Aiforia and Siemens Healthineers Transform Digital Pathology Across Europe With AI?

Key Insights: Strategic Partnership to Expand AI Pathology Aiforia Technologies Plc announced a major collaboration with Siemens Healthineers…

ByByAnuja SinghSep 16, 2025
Scroll to Top