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Seraph Biosciences, Inc

Seraph Biosciences develops the Seraspec® system, a portable pathogen detection technology that utilizes Raman Spectroscopy to provide real-time identification of bacterial, viral, and fungal pathogens at the point of care. This system eliminates the delays and costs associated with traditional laboratory methods, enabling healthcare providers to make timely and informed treatment decisions.

Founded 20147300+ followers
Updated 20 months ago

Funding

Funding not disclosed

TS
Funding rounds are not available yet.

Founders

Product

Problem

Traditional pathogen detection methods rely on laboratory-based analysis, leading to delays in diagnosis and treatment decisions. These delays can negatively impact patient outcomes and contribute to the overuse of broad-spectrum antibiotics, accelerating antimicrobial resistance.

Solution

Seraph Biosciences offers the Seraspec® system, a point-of-care pathogen detection technology that utilizes Raman spectroscopy for real-time identification of bacterial, viral, and fungal pathogens. The Seraspec® system eliminates the need for time-consuming and costly laboratory methods, enabling healthcare providers to make more efficient and informed treatment decisions. The system employs an enclosed assembly of optical components allowing for real-time Raman spectral measurements that generate a unique molecular fingerprint for pathogen identification. Proprietary signal processing and identification algorithms distinguish targeted pathogens from confounding background interference, facilitating real-time identification at the point-of-care.

Target Audience

The primary target audience includes healthcare providers who need rapid and accurate pathogen identification at the point of care to optimize clinical decision-making.

Features

  • Portable, point-of-care system for real-time pathogen detection
  • Utilizes Raman Spectroscopy to identify bacterial, viral, and fungal pathogens
  • Reagentless, fully-automated detection
  • Employs an enclosed assembly of optical components for Raman spectral measurements
  • Proprietary signal processing and identification algorithms
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