Medical Imaging

Scientist.com Adds XenoSTART Tumor Models to Expand TMF Platform

Scientist.com Adds XenoSTART Tumor Models to Expand TMF Platform

This partnership significantly increases global access to XenoSTART’s high-demand tumor models.

Scientist.com, the leading R&D procurement orchestration platform for the life sciences, today announced a major expansion of its Tumor Model Finder (TMF) following a strategic partnership with XenoSTART, a global leader in patient-derived xenograft (PDX) model development and testing. The addition of hundreds of unique and high-demand XenoSTART models pushes the TMF past a milestone of 10,000 searchable oncology models, giving cancer researchers unprecedented access to diverse and clinically relevant tools.

“Pharma discovery teams often face critical delays accessing translational research partners with deeply characterized PDX models that accurately reflect real-world patient disease complexity,” said Michael J. Wick, PhD, Chief Scientific Officer at XenoSTART. “By joining the Scientist.com marketplace, XenoSTART eliminates this significant barrier, providing immediate access to our highly relevant, patient-derived tumor models that are directly linked to our global clinical network. This integration empowers drug developers to confidently accelerate therapeutic decision-making and precisely guide their translational strategies—ultimately speeding effective cancer treatments to patients.”

Scientist.com’s Tumor Model Finder is a centralized, AI-powered platform that aggregates and standardizes tumor model data from 20+ leading CROs. It allows researchers to search, compare, and source PDX, CDX, organoid, and cell line models—spanning 17 cancer types—through a single workflow. The platform also includes drug response profiles, genomic alterations (e.g., KRAS, BRAF mutations), and RNA seq-based gene expression data to support informed model selection and study design.

“XenoSTART’s contribution significantly boosts the depth and quality of our TMF offerings,” said Javier Pineda, PhD, Director of Preclinical AI at Scientist.com. “Researchers can now find models with richer data and greater relevance to their specific cancer studies.”

This collaboration also highlights the translational impact of START’s global research ecosystem. With patient-derived tissue samples sourced from START’s expansive oncology trial network, XenoSTART’s models provide critical continuity between preclinical evaluation and clinical trial execution—helping pharmaceutical companies make faster, more confident decisions in oncology drug development.

To learn more or schedule a demo of the Tumor Model Finder, email diseasemodels@scientist.com.

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