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VG

Veritie Group

Veritie Diagnostics utilizes Raman Spectroscopy and Surface Enhanced Raman Spectroscopy (SERS) to provide low-cost, non-invasive in vitro diagnostics for high-incidence diseases, starting with breast cancer detection through urine analysis. This technology enables rapid, accurate results at the point-of-care, reducing the need for invasive procedures and unnecessary antimicrobial use.

Traction 2/10
Boston, United States · HQ
Founded 201813100+ followers
  • Artificial Intelligence
  • Biotechnology
  • Healthcare Technology
Updated 7 months ago

Funding

Funding rounds are not available yet.

Founders

1 founder

Cici Muldoon

CEO

Product

Problem

Current methods for breast cancer detection often involve invasive procedures and expensive equipment, leading to patient discomfort and delayed diagnoses, particularly in resource-limited settings. The need for specialized facilities and trained personnel further restricts accessibility to timely and accurate screening.

Solution

Veritie Diagnostics is developing a non-invasive in vitro diagnostic platform leveraging Raman Spectroscopy and Surface Enhanced Raman Spectroscopy (SERS) for the detection of high-incidence diseases, initially focusing on breast cancer. By analyzing urine samples, the technology aims to provide rapid and accurate results at the point-of-care. This approach seeks to minimize the necessity for invasive procedures, reduce healthcare costs, and improve patient outcomes through earlier detection. The platform combines photonics and machine learning to identify disease-specific biomarkers in a readily accessible bodily fluid.

Target Audience

The primary target audience includes healthcare providers, diagnostic laboratories, and hospitals seeking cost-effective and non-invasive screening tools for breast cancer, as well as women requiring routine breast cancer screening.

Features

  • Utilizes Raman Spectroscopy and Surface Enhanced Raman Spectroscopy (SERS) for biomarker detection.
  • Employs machine learning algorithms to analyze spectral data and improve diagnostic accuracy.
  • Designed for point-of-care testing, enabling rapid results and decentralized access.
  • Non-invasive urine sample analysis eliminates the need for biopsies or other invasive procedures.
  • Aims to provide a low-cost alternative to traditional breast cancer screening methods.
This profile is AI-generated and may contain inaccuracies.