Objective: 

Develop affordable medical devices( wearable and portable) that accurately estimate a patient's immediate health status, in real-time, predict specific disease progression, prevent future health failures.

 Product Functionality Requirments and Specifications:

Monitor a wide range of disease biomarkers. 

Real-time data acquisition from various types of biosensor: Electrochemical, Optical, and Piezoelectric
Transmit acquired data to a cloud computing
Data processing capability utilizing Machine/Deep Learning algorithms
A user-friendly interface displaying the patient's health status, establishing early disease detection, listing identified pathogens, and predicting specific disease progression.

Non-invasive measurement ( Wearables only)
Accuracy Requirement: >-/+ 2% over conventional methods of measurement
Repeatability Requirement: Passed GAGE R&R requirements
Affordable product



Continuous-monitoring medical/health wearable and portable " at-home use " devices

Data-Flow Diagram

Manosage has been investigating biosensors with fallowing capability and characteristics:
FAT Based Biosensor utilizing Deformed GRAPHENE Channel Field Effect Detection Capability:


  • Nucleic Acids (DNA or RNA) at a concentration of 100 fM
  • Proteins at a concentration of 10 fM
  • Biomolecules by measuring their intrinsic charges
  • Micro RNA (mRNA) and free (fDNA) from UNAPLIAFIED samples
  • pH and blood sugar sensing

Applications:

  • Pathogen Detection. It offers a significant advantage over the PCR ( Polymerase chain reaction) method, which is susceptible to interference by the inhibitory factors in biological samples, and therefore not suitable to analyze miRNA directly from blood or serum samples. This sensor offers an amplification- and purification- free method to directly detect miRNA from biological samples such as serum.
  • Detection of different types of cancers. Such detection could enable a liquid biopsy, which can replace invasive tumor-tissue biopsies in many diagnostic applications
  • Gene-Expression investigation
  • Pharmacogenomic
  • Blood serum drug presence detection
  • Molecular-level analysis and diagnostics
  • Globally available Personalized Medicine

Sensitivity: from 18 up to 600 nucleic acid molecules

Sample Type utilized: blood and human serum


Value Creation Flow Diagram (network effect)