How it works

The xCures platform transforms complex unstructured medical data directly from the patient’s medical records into structured data suitable for analysis and review. Our A.I. engine can actively cross-reference this data against the vast digital library of oncology data to match patients with potential treatments. This empowers patients and their oncologists to make more informed and effective treatment decisions.

Creating Useful Data

Cancer researchers also get value from the xCures platform. The automated aggregation, classification, and structuring of patients' medical records into longitudinal datasets which accomplish FDA 21 CFR Part 11 compliance, and source data verification, can be a great time-saver and accelerate the approval course of promising treatments.

Learn More

The Team: Technology Meets Oncology

To fully integrate cancer research and care, xCures has assembled a multi-disciplinary, boundary-pushing team spanning A.I., data science, and clinical research. The team has solved three of the biggest challenges in applying A.I. to oncology:

1. Medical data processing: We automated mechanisms to get a deep clinical understanding of cancer patients and structure longitudinal data without adding any additional administrative burden to the system.
2. Treatment indexing: We created a living master catalog of all the potential cancer treatments, including individual interventions and combination regimens, expert-sourced medical rationales, and access pathways.
3. Patient-Treatment matching: We developed a suite of tools to match patients to a shortlist of appropriate options using NLP, and rank them using Bayesian predictive models operating on real outcomes data, and expert insights mined from Virtual Tumor Boards.