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Dawako Medtech

The startup has developed a deep learning-based ultrasound image analysis platform that extracts image biomarkers for monitoring therapeutic efficacy and disease progression. This technology enables early intervention and personalized care, improving patient health outcomes and physiological performance.

Paterna, SpainFounded 2018221K+ followers
Updated 18 months ago

Funding

$3.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

CV
Funding rounds are not available yet.

Founders

Product

Problem

Traditional methods of assessing muscle health and tissue characterization often rely on expensive, bulky equipment and lack the ability to monitor physiological parameters in real-world, dynamic conditions. This limits the ability to diagnose and monitor conditions like sarcopenia, assess sports performance, and detect tumors early and effectively.

Solution

Dawako Medtech offers a wearable AI-bioimaging solution that provides healthcare professionals with accessible tools for faster and more precise insights into patient health. The system integrates wireless, patch-format devices (WBS/WBS-US) that capture medical images and biosignals, even during motion, and an AI-powered cloud-based platform (PIIXMED) that analyzes these inputs. The PIIXMED platform uses proprietary algorithms to extract accurate health information in minutes, aiding early diagnosis and personalized care across various clinical domains, including musculoskeletal health, sports medicine, and oncology. The wearable bioimaging technology enables continuous, real-world monitoring of physiological changes, facilitating the design of tailored training and treatment plans.

Target Audience

The primary target audience includes healthcare professionals in sports medicine, oncology, and those focused on musculoskeletal health and aging, as well as clinical researchers and sports performance specialists.

Features

  • Wireless, wearable ultrasound and biosignal patches (WBS/WBS-US) for capturing medical images and biosignals in motion
  • PIIXMED: An AI-powered, cloud-based platform for analyzing medical images and signals
  • Algorithms for extracting quantifiable medical information and aiding early diagnosis
  • iSports: A performance solution providing objective biomechanical data in real-world environments
  • Integration of sEMG, IMU, and NIRS in a single interconnectable device
  • Cardio-MSK i360™ in Motion Analysis Services for monitoring physiological changes
  • AI-powered analysis of ultrasound images using deep learning models
  • Structured reporting for clinical insights
This profile is AI-generated and may contain inaccuracies.