Non-invasive health monitoring and
artificial intelligence for medicine.
Accofrisk works at the intersection of medicine, big data and artificial intelligence. The company's theoretical research and technologies are focused on creating products for continuous and comprehensive monitoring of the user's health.
Today, our non-invasive technology, scientific methods, artificial intelligence are showing impressive results, and measuring 100+ groups 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 and carbohydrates
Resting metabolic rate (RMR)
Accofrisk AI Watch.
The watch continuously and non-invasively measures more than 100 groups of key user health parameters.
Pocket devices.
The devices in the line have a wide range of functions and compact size for different usage scenarios.
HealthPhone.
A phone with a pulse wave sensor and non-invasive health parameter measurement functionality.
A non-invasive remote health monitoring platform.
Management decision making based on physical and psychological health of employees. Remote non-invasive monitoring of patients' health.
Around the pulse wave.
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 spectral detection and thermal metabolism detection technology by collecting the bulk pulse wave signal and thermal metabolism signal at the user's arm.
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.
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.
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