Personal Health Digital Twins


Can intelligent digital technology help people in self-management and continuous monitoring of personal health at their homes while in connectivity with caregivers and assist if something goes wrong with their health in times of lockdowns and restricted movements?

These questions take away the peace of mind of growing number of people on this planet who, by various reasons, have to live or be away from their parents, grandparents and relatives working in different places, cities and countries.

There is increasing number of aging people and those with chronic diseases, as well as  patients discharged from hospitals after post-Coronavirus and other treatments. As a result of the impact of COVID-19, the numbers increased dramatically along with the need in effective managing and monitoring their own health and well-being, easy contacting informal and official caregivers and in effective access to medical services by remote sessions prior to physical visits to medical institutions.

The demand led to significant surge in the population perception of remote health monitoring and various commercial solutions that offer Remote patient monitoring, Telemedicine, Telecare, Telehealth, Ambient Assisted Living (AAL), etc.

 However, most of them still lack of capacity for

  • Holistic intelligent automatic analysis of multiple processes that are related to individual health, life-style, activities, living environment, 
  • Intelligent high-level conversational interactivity in natural language,  
  • Intelligent automatic calculation and interpretation of the ongoing and predicted health status using accumulated human health knowledgebase, 
  • Keeping aging people and patients, their relatives and caregivers updated in an intelligent way that minimizes continuous monitoring overhead,
  • Providing positive psychological interactions with people in natural language conversations, supporting exchange of comments and multimodal message content
  • Having cost level affordable for large population groups.   


Intelligent virtual assistant for health and wellbeing monitoring

Our company implements radically new concept: To provide each individual with personal intimate AI-driven Digital Health Assistant that

  • Communicates with the person at home and his/her caregivers over mobiles and smart speakers in natural language using conversational AI, easily accessible by stakeholders
  • Helps to set and keep planned daily schedule (medications, procedures, visits, etc.)
  • Continuously measure major biometrics (vital signs, activities, weight, etc.), psychological/emotional metrics and home living conditions (air quality, safety)   
  • Analyses the health & wellbeing status in real time and as prediction
  • Interprets the results and provide the person with recommendations, reminders and prescriptive analytics regarding best possible actions aimed at keeping health and wellbeing sustainable
  • Helps to set remote access to analytics KPIs and set the working / health managing sessions with formal caregivers
  • Enables psychosocial support,  improves resilience, offers medical services extension to people homes
  • Supports new methods of self-management of health under acceptable minimal costs

The Intelligent Personal Digital Twin application runs at AI-, Big Data- and IoT - driven platform PharosN and works as personal dedicated Virtual Nurse at home having basic medical knowledge, intelligence and ability to speak like a human, reminding, recommending in time and asking about health and well being. It, however, fundamentally differs from people in the non-human ability to continuously collect and automatically analyse a large number of biometric and other data about psychological state of its host person during the conversations and measuring living conditions. Having such knowledge that is updated in real time, the Intelligent Digital Twin informs its host and caregivers about actual or predictable critical health and safety situations and provides relevant recommendations in the intelligent conversational interactions similar to a real human being.

The solution integrates latest mainstream open source AI, BigData, IoT, and cloud kubernetes software, and wearables and home sensor hardware linked to wireless technologies such as Bluetooth 5 BLE, Zigbee 3, Wi-Fi 6, Lora, 4G/5G and complies with relevant major standards of cybersecurity. The whole service package is made affordable for individuals who want to improve self-managment of own health and caregivers who want to improve their capacity to serve multiple people with improved efficency and quality. 

The proof-of-concept prototype was tested in the lab and Horizon 2020 project experiment SmartMozionAge 2019 and is being introduced into a number of new international projects.

Our comprehensive project proposal for Horizon 2020 EIC Accelerator grant received the Certificate “Seal of Excellence as COVID-19 Response” in 2020 by the European Commission scored as a high-quality project proposal in a highly competitive evaluation process and is recommended for funding.

We invite the parties interested in investments into new AI-driven digital health technologies to review the investment potential. At the same time, we welcome caregiver, social care and senior support organisations with the spirit of innovation for collaboration in the pilot prototyping, trials and participation in the joint projects financed by European grants.   

If leaving us a message please write in its subject "Health Twin” keyword in the subject field.

Project video overview is presented here 




1. Home components supporting health and living environment monitoring 

Personal eHealth Assistant for remote patient monitoring by virtual twin


2.  The intelligent health managment and monitoring ecosystem 

Intelligent Personal Well-Being Assistant Ecosystem