xCures


xCures is dedicated to implementing precision oncology through leveraging state-of-the-art AI to process all types of medical records since 2018, transforming data chaos into clinical clarity. The company provides tools and data products that facilitate clinical research and patient care by turning unstructured data into structured, actionable insights, thereby improving treatment decisions and outcomes.

Industries

artificial-intelligence
biotechnology
health-care
machine-learning
medical
oncology
pharmaceutical

Nr. of Employees

medium (51-250)

xCures

Oakland, California, United States, North America


Products

Patient-facing record retrieval and care-summary portal

A portal that automates the request and retrieval of a patient's medical records from care sites and produces an up-to-date, source-linked care summary for sharing with clinicians.

Provider-facing clinical decision and treatment-options portal

A provider portal that presents structured patient data, autogenerated summaries, and AI-assisted treatment-option reports with scientific/medical rationales to support clinical decisions.

Curated oncology datasets (breast, glioma, melanoma, colorectal, ovarian/uterine)

Comprehensive, longitudinal oncology datasets covering multiple tumor types, prepared for real-world evidence studies and partner analytics programs.


Services

Automated clinical-record retrieval and structuring service

On-demand retrieval of patient records from multiple care sites, automated extraction and normalization, and delivery of structured clinical datasets via portal or integration APIs.

Clinical summary and treatment-option generation service

Generation of clinician-reviewable care summaries, customizable checklists, and AI-assisted treatment-option reports derived from structured clinical records.

Oncology dataset licensing and RWE partnership

Curation and partnership delivery of comprehensive, longitudinal oncology datasets for research, regulatory evaluation, and analytics platform integration.

Expertise Areas

  • Clinical data integration and harmonization
  • Real-world evidence generation for oncology
  • AI and NLP for clinical data extraction
  • Patient record retrieval and interoperability with HIEs/QHINs
  • Show More (3)

Key Technologies

  • Natural language processing (NLP)
  • Machine learning for information extraction
  • Semantic search and natural-language query
  • Interoperability with HIE/QHIN and EMR systems
  • Show More (2)

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