Medasense Biometrics, Ltd.


Medasense Biometrics Ltd. is dedicated to transforming pain management through its innovative NOL® technology, which quantifies pain responses to personalize treatment and optimize care. The company aims to address the global challenge of pain, which affects millions and incurs significant healthcare costs, by providing objective measures for pain assessment and management.

Industries

artificial-intelligence
biometrics
health-care
medical
medical-device
sensor

Nr. of Employees

small (1-50)

Medasense Biometrics, Ltd.


Products

Bedside nociception monitoring system

A bedside monitor and sensor platform that provides continuous, noninvasive measurement of a patient’s physiological pain response to support intraoperative and critical-care analgesic titration.

Cloud-based physiological insights platform (investigational)

Cloud analytics and app platform that collects wireless sensor data, applies analytics to generate individualized pain-related insights and presents results via a customizable interface for clinic and home-based use (investigational).


Services

Clinician e-learning and training platform

Online training modules, webinars, simulation resources and assessments covering device operation, data interpretation and implementation.

Customer and technical support

Centralized support channels for technical assistance, troubleshooting, software/version reporting and device tracking.

Clinical evidence and implementation support

Provision of published study lists, conference abstracts, case reports, implementation guides and economic analyses to support clinical evaluation and adoption.

Case-report and data-sharing templates

Provision of standardized case-report templates and data-sharing agreement documents to facilitate clinical reporting and collaborative research.

Expertise Areas

  • Clinical trial design, execution and evidence generation
  • AI-driven physiological signal analysis and real-time index derivation
  • Noninvasive sensor hardware development (finger photoplethysmography)
  • Cloud-based analytics and app delivery for physiological monitoring
  • Show More (4)

Key Technologies

  • AI / machine learning for physiological signal fusion
  • Multiparameter autonomic signal analysis
  • Photoplethysmography-based finger sensor
  • Cloud-based analytics and app interfaces
  • Show More (3)

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