xCures advances healthcare data landscape with expanded AI-assisted medical data platform

xCures, a company specializing in healthcare technology, has announced the expansion of its AI-assisted medical data platform. The platform has been extended to support real-time, regulatory-grade data in various therapeutic areas.

Initially designed for cancer-specific applications, the platform’s expansion now positions it as a versatile tool capable of gathering medical records for any patient in the US, regardless of the medical condition. The platform is also now accessible as a Software as a Service (SaaS).

Utilizing AI/ML (artificial intelligence/machine learning) technology, xCures’ platform collects records, and extracts and consolidates data, including organizing and structuring clinical, genomic, and imaging data from a variety of sources into a searchable digital record. Users can quickly find or assess key clinical information for patient care activities, with this integrated approach transforming the way medical professionals and researchers comprehend complex patient profiles and cohort characteristics.

Mika Newton, CEO of xCures, expressed the significance of this expansion, stating, “Expanding our AI platform beyond oncology marks a significant milestone in our mission to transform the value of healthcare data. We’re providing access to a software platform that generates precise real-world data at the individual and cohort levels across all diseases that will accelerate groundbreaking research across many fields and directly benefit patients.”

xCures provides access to this technology through software licenses and direct API connections embedded within existing healthcare workflow management platforms. The system provides patient-centric, longitudinal insights for informed decision-making.

The evolution of xCures’ platform represents another step towards their aim to enhance the value of healthcare data. The collected data, which can undergo de-identification, is made available for secondary research, contributing to comprehensive, patient-centric longitudinal datasets spanning diverse providers and care locations.