Xsphera Platform
Animal models have proven to be insufficient for predicting human response to cancer drugs. Xsphera overcomes these limitations with a human tissue-based platform that accurately captures the dynamic response of the tumor microenvironment across the diversity of patients.
We confront a critical issue in oncology drug development: the overwhelming majority of new drugs fail to obtain regulatory approval. This creates immense stress for the medical community and obstructs the evaluation of other promising treatments. As a consequence, billions of dollars are wasted, and patients are left with limited options for care.

A New Era for Human-Relevant Drug Testing
Regulatory Shift: FDA & Congress Embrace Human-Relevant NAMs
Recent U.S. legislative action and coordinated federal agency initiatives are reshaping the regulatory landscape — accelerating the adoption of New Approach Methodologies (NAMs) and highlighting the growing importance of human-relevant testing platforms like Xsphera’s.


From Response Data to AI-Powered Predictions and Insight
AI-powered modeling of patient tumors with Xsphera’s Virtual Tumor Model
The Virtual Cell Initiative has catalyzed a growing body of research exploring whether AI can learn and predict biological response from large-scale perturbation data. While the field is still evolving, there is broad consensus that predictive performance improves as models are trained on richer, higher-quality experimental datasets.
Our Virtual Tumor model extends this direction to real human tumor tissue, training AI models on thousands of patient samples exposed to multiple therapies with dynamic transcriptomic readouts.
Xsphera’s Virtual Tumor (XVT) enables:




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