Artificial intelligence, and Wearables for health monitoring. Non-invasive Glucometer.
Accofrisk works at the intersection of medicine, big data and artificial intelligence. The company's theoretical research and technologies are focused on predictive analytics, and creating products for continuous monitoring of the user's health.
Today, our non-invasive technology, scientific methods, artificial intelligence are showing impressive results, and measuring 300+ of health parameters. Here are some of them –
Whole blood viscosity (CP)
Blood pressure
Cardiac function index (CFI)
Glucose level
Uric acid (UA)
Fibrinogen (FIB)
Calories
Intracranial pressure (ICP)
Cholesterol and hemoglobin
Body mass index (MBI)
Blood lactic acid (Lac)
Protein, fats, carbohydrates
Resting metabolic rate (RMR)
Pocket devices.
The range offers a wide range of health monitoring functionality and compact size for different usage situations.
UNDER DEVELOPMENT
An AI-powered watch for health monitoring.
The watch continuously measures and analyzes more than 300 physical and mental health parameters of the user. Non-invasive glucometer and tonometer.
A patient and employee health remote monitoring platform.
Management decisions taking into account the physical and psychological state of health of employees. Remote monitoring of the main body systems of patients and employees of organizations.
AIHealthPhone.
Smartphone with a safe optical pulse wave measurement sensor and non-invasive health monitoring functions for the user.
UNDER DEVELOPMENT
Around the pulse wave. From theory to artificial intelligence, and wearables.
RESULTS OF RESEARCH
THEORETICAL FRAMEWORK
ARTIFICIAL INTELLIGENCE
The result of our theoretical approaches and research was a 700,000 AI watch users and a line of devices currently under development - pocket devices and a smartphone with built-in capabilities to monitor health parameters.
Our products and solutions utilize the rheology and biomechanics of blood pressure as the theoretical basis.
We have developed a spectral thermal metabolism detection technology by collecting the bulk pulse wave signal and the thermal metabolism signal on the user's hand. All data from the optical sensor is processed by several proprietary artificial intelligence systems.
We combined big data analytics with accurate artificial intelligence modelling to generate personalised self-healing interval and abnormality correction to control blood flow and blood supply.
Research and competencies of the team.
Artificial intelligence.
Our competences in the field of AI lie in the development of new methods for measuring the parameters of body systems. Improving the quality of these measurements is the main priority of this work.
Health monitoring.
We measure more than 100 groups of body system parameters. In our nearest plans we are going to create and introduce a method of obtaining the parameters of the general blood analysis without blood sampling.
Healthy Aging & Longevity.
Our team is involved in the formation of standards for healthy ageing through the creation of smart health monitoring methods. We implement the concept of involving loved ones in monitoring users' health.
Prevention of diabetes.
Based on continuous measurement of glucose levels and comprehensive data. Our solutions will instantly alert the user to the first signs of diabetes. Soon we will learn how to diagnose diabetes in children.
Our partners.
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