MyHealthAvatar Android App on Google Play

MyHealthAvatarMyHealthAvatar, a research project funded by the EU with aim to proof the concept of the digital representation of your health status, has launched the Android App on Google Play. Your health status could be designed as a lifetime companion (Avatar). Your Health Avatar will facilitate the collection of, and access to, long-term health-status information.

Professor Feng Dong, MyHealthAvatar project coordinator, University of Bedfordshire, mentioned: "Owing to the highly fragmented health systems in European countries, gaining access to a consistent record of individual citizens that involves cross-border activities is very difficult.

"MyHealthAvatar is a proof of concept for the digital representation of patient health status. It is designed as a lifetime companion for individual citizens that facilitates the collection of, and access to, long-term health-status information. This is extremely valuable for clinical decisions and offers a promising approach to acquire population data to support clinical research, leading to strengthened multidisciplinary research excellence in supporting innovative medical care."

MyHealthAvatar places a special emphasis on engaging the public. It has huge implications to the society both socially and economically. A personal avatar can potentially change the way we think, communicate and search for information. Meanwhile, the acceptance of the avatars by the public opens opportunities for many industrial sectors, leading to the reinforced leadership of European industry.

For further information and to download MyHealthAvatar App, please visit:
https://play.google.com/store/apps/details?id=com.ccgv.xu.myhealthavatartest&hl=en
Or you can directly search for MyHealthAvatar in the Google Play Store and install it on your phone.

To use this application, you need to declare the agreement to the processing of the (personal) data that you must provide (including health and life-style data, whether real or not) by the MyHealthAvatar private demo platform for evaluation purposes. Check the Terms and Conditions and Privacy Policy at register page: https://myhealthavatar.org/mha/signup

About MyHealthAvatar
MyHealthAvatar is built on the latest ICT technology with an aim of engaging public interest to achieve its targeted outcomes. In addition to data access, it is also an interface to access integrative models and analysis tools, utilizing resources already created by the VPH community. Overall, it will contribute to individualized disease prediction and prevention and support healthy lifestyles and independent living. It is expected to exert a major influence on the reshaping of future healthcare in the handling of increased life expectancy and the ageing population in Europe. This complies with the priority and strategy of FP7 ICT for healthcare, and constitutes a preparatory action aiming at the grand challenge on a "Digital Patient", which is currently the subject of a roadmap in the VPH community.

www.myhealthavatar.eu

Most Popular Now

Personalized Breast Cancer Prevention No…

A new telemedicine service for personalised breast cancer prevention has launched at preventcancer.co.uk. It allows women aged 30 to 75 across the UK to understand their risk of developing breast...

New App may Help Caregivers of People Ge…

A new study by investigators from Mass General Brigham showed that a new app they created can help improve the quality of life for caregivers of patients undergoing bone marrow...

An App to Detect Heart Attacks and Strok…

A potentially lifesaving new smartphone app can help people determine if they are suffering heart attacks or strokes and should seek medical attention, a clinical study suggests. The ECHAS app (Emergency...

A Machine Learning Tool for Diagnosing, …

Scientists aiming to advance cancer diagnostics have developed a machine learning tool that is able to identify metabolism-related molecular profile differences between patients with colorectal cancer and healthy people. The analysis...

Fine-Tuned LLMs Boost Error Detection in…

A type of artificial intelligence (AI) called fine-tuned large language models (LLMs) greatly enhances error detection in radiology reports, according to a new study published in Radiology, a journal of...

DeepSeek-R1 Offers Promising Potential t…

A joint research team from The Hong Kong University of Science and Technology and The Hong Kong University of Science and Technology (Guangzhou) has published a perspective article in MedComm...

Deep Learning can Predict Lung Cancer Ri…

A deep learning model was able to predict future lung cancer risk from a single low-dose chest CT scan, according to new research published at the ATS 2025 International Conference...

New Research Finds Specific Learning Str…

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto Area, differs from the real-world data, it could lead to patient harm...

'AI Scientist' Suggests Combin…

An 'AI scientist', working in collaboration with human scientists, has found that combinations of cheap and safe drugs - used to treat conditions such as high cholesterol and alcohol dependence...

Patients say "Yes..ish" to the…

As artificial intelligence (AI) continues to be integrated in healthcare, a new multinational study involving Aarhus University sheds light on how dental patients really feel about its growing role in...

Brains vs. Bytes: Study Compares Diagnos…

A University of Maine study compared how well artificial intelligence (AI) models and human clinicians handled complex or sensitive medical cases. The study published in the Journal of Health Organization...

Philips Foundation 2024 Annual Report: E…

Marking its tenth anniversary, Philips Foundation released its 2024 Annual Report, highlighting a year in which the Philips Foundation helped provide access to quality healthcare for 46.5 million people around...