Company Blog on Artificial Intelligence in Medicine.

Abu Dhabi Global Health Week 2025.

The Accofrisk team participated in the Abu Dhabi Global Health Week 2025, which took place from April 15 to 17 in Abu Dhabi. These three days were the busiest of the year for us. Hundreds of presentations of our AI, dozens of contacts, several signed partnership agreements - these were our main results. Thank you to the Abu Dhabi Department of Health for inviting us to a mega-significant event in the world of medicine.

CheckApp AI Conference on October 10th, 2024.

We became speakers at the conference. The event was attended by all those interested in artificial intelligence, healthcare, preventive and predictive medicine, and emerging technologies. The event brought together leading experts and developers implementing machine learning technologies that will shape the future of AI diagnostics and innovation. The event was attended by individuals and representatives from the United States, Latin America, the Caribbean, Europe, the Middle East and Asia.

Clinical Trials of Our Non-invasive Watch in China.

Accofrisk's AI measurement performance was tested at the Chongqing Red Cross Hospital (Jiangbei County People's Hospital) under the supervision of Prof. Liang. The results confirm that the measurements meet the requirements set forth in the “Chinese Guideline on Clinical Application of Blood Glucose Monitoring” (2021 edition).

Author Oleg Tikhonenko.

Accofrisk's AI Health Assistant.

This paper proposes a method for non-invasive blood sugar determination by arterial pulse. A technique has been developed to collect volumetric pulse wave signal and thermal metabolic signal at the radial artery of the subject's wrist. This method will allow everyone to monitor blood glucose levels according to a personalized effective range of blood glucose levels based on a scientific approach.

Author Oleg Tikhonenko.

Method Of Non-Invasive Of Blood Sugar By Arterial Pulse.

This paper proposes a method for non-invasive blood sugar determination by arterial pulse. A technique has been developed to collect volumetric pulse wave signal and thermal metabolic signal at the radial artery of the subject's wrist. This method will allow everyone to monitor blood glucose levels according to a personalized effective range of blood glucose levels based on a scientific approach.

Author Zlata Tikhonenko.

Defining The Concept Of Pulse Conditions.

The article is devoted to the objectification of pulse diagnostics, methods of extraction and analysis of pulse parameters and pulse signal processing, to explain morphological changes in various pulse wave forms, based on optical methods and the use of wearable devices working with photoplethysmography to solve these problems.

Author Zlata Tikhonenko.

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