Artificial Intelligence based technologies for medical applications

CoAImed

Collaborative development of AI-based technologies for medical applications

CoAImed is an innovative newborn start-up that operates in the field of Artificial Intelligence, sensors, and biorobotics.

It aims at the development, production, and marketing of innovative technological products and services.

The principle is to exploit the body-brain interplay, furnishing clinicians and patients innovative AI-based tools and competencies to support their journey.

News

25 Jan: Comparative motor pre-clinical assessment in Parkinson’s disease using supervised machine learning approaches – Annals of Biomedical Engine

25 Jan: Automated systems based on wearable sensors for the management of Parkinson’s disease at home: a systematic review – Telemedicine Journal and e-Health

25 Jan: Combining olfactory test and motion analysis sensors in Parkinson’s disease preclinical diagnosis: A pilot study – Acta Neurologica Scandina

Our offers

WEARnCARE for Clinics

A decision support tool for Neurologists to objectify the motor assessment in Parkinson’s disease diagnosis and management.

WEARnCARE for Research

A modular wearable inertial system to measure the movement of upper and lower limbs.

Consulting

CoAImed can support you alongside the design, development and evaluation process of your service products.

The Technology

Wearable Miniaturized Inertial System

8 devices to collect high-frequency rate motor data from upper and lower limbs.

Gateway for Data Gathering and Signal Processing

Local processing to monitor the correctness of use of the devices and to extract accurate motor parameters.

Cloud Resources for Data Storage and Data Analytics

AI-based algorithms to aggregate extracted parameters and return the clinician and patient with accessible information.

Touchscreen Monitor

Dashboards for data visualization.

The system meets the demands of compliance and customers’ expectations to keep their data safe and secure according to the GDPR law (2016/679) thanks to an appropriate security-by-design process.

users tested

research centres

TRL