DXCOVER


Dxcover is a pioneering company in early cancer detection, utilizing a multi-omic platform powered by light and machine learning. Their mission is to deploy innovative liquid biopsy technologies to enable earlier diagnosis of cancers, thereby improving survival rates and quality of life. With a focus on multiple cancers, Dxcover aims to transform cancer care through advanced spectroscopic analysis and artificial intelligence, making cancer detection faster, more accurate, and accessible globally.

Industries

biotechnology
health-care
health-diagnostics
machine-learning
medical

Nr. of Employees

small (1-50)

DXCOVER

Glasgow, Glasgow City, United Kingdom, Europe


Products

Multi-omic spectroscopic liquid biopsy platform

An integrated slide-based infrared spectroscopy platform combining automated sample handling and machine learning algorithms to detect disease-specific multi-omic signatures from microlitre-scale blood samples with rapid turnaround.

Clinical-stage spectroscopic diagnostic tests (disease-specific assays)

Indication-specific diagnostic assays under clinical evaluation for early detection and triage (examples include brain, colorectal, pancreatic and ovarian cancer applications).


Services

Biopharma and diagnostics partnering

Collaborative engagements with clinical, pharmaceutical and diagnostic organisations to support clinical projects, co-development and commercialisation of spectroscopic diagnostic applications.

Clinical validation study support

Design, execution and data generation for prospective and multi-centre clinical studies to evaluate diagnostic performance across multiple cancer indications.

Sample analysis and discovery project support

Provision of sample requirements guidance and analytical services for discovery projects using infrared spectral analysis of biofluids.

Expertise Areas

  • Liquid biopsy development using vibrational (infrared) spectroscopy
  • Clinical trial design and multi-centre diagnostic validation
  • Machine learning for spectral diagnostics
  • Regulatory compliance and quality management for diagnostics (ISO 13485, CE pathway)
  • Show More (4)

Key Technologies

  • Attenuated Total Reflection Fourier-transform Infrared Spectroscopy (ATR-FTIR)
  • Multi-omic spectral analysis (proteome/lipidome/metabolome signatures)
  • Recurrent neural networks and ensemble machine learning for spectral data
  • Generative data augmentation for spectral datasets (GANs)
  • Show More (3)

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