Our Platform Speaks Oncology

At the center of the xCures platform is our highly specialized Natural Language Processor (NLP) that can read, interpret, and encode raw unstructured patient data from anywhere in the United States. Our NLP speaks the language of oncology. The result is structured data in a crisp care summary for use by patients, doctors, and algorithms to find and speed up access to promising treatment options.

Real-time, Regulatory-grade, Clinical Data

The xCures platform captures Real World Data (RWD) from cancer patients and transforms it into Real-time, Regulatory-grade, Clinical data (RRC).

We receive patient consent to collect, organize, and structure their medical data and outcomes from all providers and sites along their care journey, retrospective to diagnosis and prospectively after consent.

The platform auto-generates care summaries in real time for the patient, and applies further structuring and annotation to create a fully longitudinal record for each patient.

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.