Tender Health

In conclusion

TeNDERadmin — Thu, 27 Apr 2023 11:50:23 +0000

TeNDER is officially ending this week (30 April 2023). It has been a remarkable learning journey that has culminated in the successful rollout of the third wave of pilots, the identification of good practices and lessons learned, as well as a timely and thought-provoking final event on health, law, and technology (HELT) hosted by the VUB.

During the event, Nicholas Vretos from CERTH presented TeNDER’s experiences and engaged in a lively discussion with other panelists and the audience on the challenges and needs associated with interoperability in health data sharing. HOPE for provided dissemination support leading up to the event and throughout the day itself. We would like to express our gratitude to the VUB team, not only for organizing the HELT 2023 symposium, but also for their thoughtful contributions to the ethical and legal dimensions of the project, which enriched TeNDER significantly.

We would also like to extend our heartfelt thanks to all consortium members across Europe, whose hard work and commitment to a humane approach to digital assistive technologies yielded important lessons and research contributions. The project’s research papers, conference proceedings, and public deliverables are available in the public domain; the latter via this link: https://www.tender-health.eu/project/here-you-can-find-a-selection-of-the-projects-public-deliverables-as-they-become-available/. Scientific publications related to TeNDER will also be accessible via commonly used journal databases.

Finally, we would like to thank each and every one of you for sharing this journey with us. It has been a privilege to work alongside such talented and dedicated individuals: patients, clinicians, and collaborative partners among many more!

TeNDER to participate in VUB-hosted symposium

TeNDERadmin — Thu, 09 Mar 2023 10:19:06 +0000

The increasing digitisation and interconnectivity of society are driving the transformation of the healthcare sector and individual experiences and perceptions of healthcare. The ability to share data, computing power, and to apply more complex processing to health data are changing our understanding of what health data is and how it should be used. Furthermore, technological advancements have led to increased generation and storage of health data, with demand for it in scientific research rapidly increasing.

However, health data governance remains a special case in the EU data policy and data protection legal framework, leading to fragmentation in the regulatory picture. Efforts are being made to remove the barriers to the free flow of health data, with the proposed European Health Data Space (EHDS) aiming to enhance individual control of their health data and build an effective mechanism for accessing health data for innovation, research, and policymaking.

The first Health, Law, and Technology (HELT) Symposium will be held on 26 April 2023 in Brussels. This inaugural event will center around the sharing of health data in an interconnected society, bringing together stakeholders to discuss the challenges and potential impact of initiatives such as the EHDS.

The HELT Symposium will feature four panels that address various aspects of the EHDS proposal:

The first panel will discuss the role of EHDS in the creation of an EU single market for data, its position in the legal landscape, and relevant benefits and challenges.
The second panel will focus on the importance of interoperability in health data sharing, with various stakeholders sharing their insights regarding the needs and challenges in developing a practical interoperability solution.
The third panel will examine the legal framework for data sharing schemes and the clash between fundamental rights and the various interests at stake, as well as potential avenues for striking that balance.
The fourth and final panel will address the challenges and opportunities presented by the demand for secondary use of health data for scientific research.

Join us in Brussels in April by registering through this link!

Outreach activities

TeNDERadmin — Mon, 23 Jan 2023 13:58:21 +0000

As the third – and final – wave of piloting continues, TeNDER partners have been using a variety of methods to communicate the project with health professionals and the general population. These include:

Workshops and conferences: partners have participated in conferences to share information about the project and gather feedback from health professionals. These events have provided an opportunity for attendees to learn about the project, ask questions, and provide input.
Printed materials: partners have distributed brochures to share information about the project in formats tailored for different stakeholders (i.e., patients with Alzheimer’s or other forms of dementia, Parkinson’s disease, or cardiovascular disorders, as well as health care professionals).

Overall, the project are using a variety of communication methods to ensure that health professionals and the general population have access to accurate and up-to-date information about the TeNDER project and its goals.

TeNDER: exploiting technologies to enhance quality of life through patient identification and emotion recognition

TeNDERadmin — Thu, 19 Jan 2023 14:51:51 +0000

The number of patients treated in-home is rapidly increasing in several countries, while the elderly population has expanded in the 15 years. To help elderly patients preserve their autonomy and live at home longer, some receive treatment at home. In this context, they may experience a critical situation that will require further medical assistance.

Advances in ubiquitous computing and the Internet of Things (IoT) have provided effective and cheap equipment, including wireless communication, sensors, and cameras (e.g., smartphones or embedded devices). Embedded computing enables the deployment of Health Smart Homes (HSH), which can support in-home medical treatment. The use of cameras and image processing in IoT has not been fully explored in the context of HSH[I].

The use of Health Smart Homes is promising. This concept has emerged from a combination of telemedicine, domotics products, and information systems. It can be defined as a Smart Home equipped with specialised devices for remote healthcare.

In view of this, TeNDER is close to completing five large-scale pilots targeting patients with Alzheimer’s, cardiovascular diseases, and/or Parkinson’s. In each pilot setting (i.e., in-hospital, at home, and in day- and full-time care homes), patients have been monitored using sensors, cameras that capture movement, affective recognition technology, wristbands that record basic vitals, etc.

Our assistive technological system includes devices, mainly sensors, and actuators, which can act whenever a critical situation is detected, helping caregivers monitor people in need.

The assistive technology systems Datawizard implemented within the TeNDER project consists of three modules dedicated to patient interaction and tracking:

Chit-Chat module

The patient pronounces keywords to activate a virtual assistant that will answer the specific question and, if necessary, send a contact request to the healthcare provider via the app.

How does it work?

The assistant consists of a set of commands that can be triggered either by voice (Speech Analysis) or by an event detected by a sensor (API Information).

On the one hand, the assistant relies on speech analysis, as it continuously records the audio stream from the microphone, which is sent to the Google API that translates it into text. The assistant then activates the corresponding routine and sends a notification to the assistant when needed.

On the other hand, it also relies on API information, as it regularly checks the HAPI-FHIR API; and if a new event is detected (irregular heart rate, number of daily steps too low, etc.), it asks the patient if everything is OK and/or sends a notification to the assistant.

Vocal Reminder

It retrieves reminders from the Android TeNDER App calendar and plays them at the established time on the client speakers using Microsoft Text-To-Speech Engine.

How does it work?

The reminder module consists of a set of regularly executed tasks, which communicate with the TeNDER App via HAPI-FHIR API Interface. The reminder module checks for new or edited calendar reminders and copies them into a local SQLite Database.

If a non-scheduled reminder is found, the module will schedule the corresponding “speak” task. If the user has set a vocal notice for the event on the TeNDER app (i.e., one day before the actual event), there will also be a notice “speak” task.

Each “speak” task will use the default host audio speakers and will read what the user has written in the “Info” field of the TeNDER reminder via the Microsoft Text-To-Speech engine. The module also keeps the local SQLite Database clean by regularly detecting and removing expired or deleted reminders.

Mood Recognition

The mood recognition module reads the audio (wav) that is saved by the chit-chat module. It is the only module that accesses the microphone and gives them inputs to a neural network that outputs the mood recognition.

Hence, every time that audio is deemed relevant for mood recognition and saved to the corresponding folder, this module will process it and classify the emotion as laugh, cry, or other.

How does it work?

The chit-chat module saves audio only if a set of conditions are met. Audio is dropped if:

In all the other cases, the audio is saved in a shared folder by the chit-chat module, and only in that case, it will be given as input to the neural network. This pre-processing is done both to avoid mistakes in the predictions and to save energy. Indeed, every time a mood is recognised, the neural network initiates, which increases the machine’s consumption power and affects its performance.

Thanks to these and other functionalities, the project aims to give elderly people suffering from disease some independence to increase self-reliance and improve the quality of life even of those who surround them.

Our project consortium seeks to empower patients, helping them to monitor their health and manage their social environments, prescribed treatments, and medical appointments. The system also facilitates communication across each patient’s care pathway.

TeNDER does not replace personal connections: it provides support, giving all users more time to nourish their relationships, engage in activities that are mentally and physically beneficial, and markedly improve people’s quality of life.

[I] Source: https://www.sciencedirect.com/science/article/abs/pii/S0140366416300688.

A year in publications

TeNDERadmin — Fri, 06 Jan 2023 09:38:08 +0000

From technical papers on design challenges in machine learning in resource optimization to reviews of user-centred methods for developing assistive technologies, 2021-2022 was an important period for TeNDER publications.

We look forward to sharing more about our VUB partners’ contributions to legal and ethical research in eHealth and assistive technology. During 2023, in the final stretch of the project, Harvard’s Petrie-Flom Center will publish a chapter on the “Challenges of remote patient care in the EU legal framework: data protection, cybersecurity, and medical devices regulation,” based partly on work done by the VUB within the framework of TeNDER.

Check our publications page in the Spring for this and more!

Understanding the impact of COVID-19 on the quality of life of chronic patients

TeNDERadmin — Tue, 22 Nov 2022 09:32:35 +0000

The arrival of the Covid-19 pandemic has had a significant impact on the lives of the entire world population, but if we also consider the impact on people affected by different chronic diseases, such as Alzheimer’s, Parkinson’s disease (PD), or cardiovascular pathologies, the scope is even greater.

Patients with Parkinson’s, Alzheimer’s, and cardiovascular disease are some of the most vulnerable to the virus due to their advanced age (in many cases) and underlying health conditions. This means they are more likely to experience severe symptoms if they contract Covid-19. But even without becoming infected with the virus or suffering mild symptoms, the patterns of self-isolation and social distancing, as well as other preventative measures that have become standard procedure throughout this pandemic, have led to a significant decline in their quality of life.

Furthermore, there has been an impact on physical well-being, closely related to confinement and being forced to stay indoors. Many people have reduced their activity levels due to various restrictions and out of fear of contracting the virus. This has led to weight gain in some individuals and a general worsening of their physical condition, resulting in increased physical symptoms such as muscle problems, aches and pains, increased stiffness, worsening gait, and reduced tolerance to exertion, among others.

In addition, higher levels of anxiety and stress related to the uncertainty of the situation, fear, and social isolation, have been observed. Covid-19 has negatively affected psychological well-being, with significant increases in cases of depression and low self-esteem. In addition, isolation from friends and family can lead to feelings of loneliness that may worsen depression or anxiety disorders.

In relation to this situation, the Spanish Parkinson’s Federation (FEP) analysed the impact of the pandemic on people with PD and their caregivers. The study revealed that the mobility of most people with PD worsened during the pandemic, which in turn correlated “strongly with poorer emotional well-being.” In addition, 67% of people with PD experienced losses in personal autonomy and independence, as they needed more help to carry out daily activities. Meanwhile, 31% of people with PD stopped rehabilitation therapies, often due to the inability to attend face-to-face sessions (Federación Española de Párkinson, 2021). These impacts contributed to the worsening quality of life that most people with PD experienced during the pandemic.

Consistent with the Spanish Parkinson’s Federation, Shalash et al. found that PD patients had worse stress, depression, anxiety, physical condition, and quality of life compared to control patients during the COVID-19 pandemic (Shalash et al., 2020). In addition, Kasar and Karaman found that older adults’ loneliness and QoL were negatively affected during the pandemic, including older adults living in social service institutions, where many older patients reside (Kasar and Karaman, 2021). It is therefore important to recognise that the overall QoL of older populations worldwide worsened with the COVID-19 pandemic and to understand how this affects existing treatment tools.

The effects of the COVID-19 pandemic have reached all populations, each in a different way. However, the elderly and chronically ill have particularly felt the impacts of the pandemic. It is therefore essential that these effects are taken into account in the continuum of care, as well as in the development of new treatments and solutions. Healthcare institutions must strive to develop technologies that treat patients in new and innovative ways in response to the changing situation in the world. Digital tools and technologies, in particular, have great potential to create new treatment formats.

Jennifer Jiménez Ramos

Head the Innovation and Research Unit, Asociación Parkinson Madrid

Data-sharing for precision medicine & the well-being of people with dementia

TeNDERadmin — Thu, 03 Nov 2022 10:26:05 +0000

There have been calls in recent years to make data available as a global public good for health and as part of a set of collective actions that are global in scope and are required to address transnational health challenges.

In precision medicine, the focus is on identifying which approaches will be practical for patients based on genetic, environmental, and lifestyle factors. Different daily life resources can be therefore used to assess well-being parameters that can contribute to the level of the intervention acceptance and from which the research on diseases can benefit.

The past years have seen a steep rise in the amount of data being generated from individuals and also used for health purposes. Still, data can’t do the job on its own and it needs to be integrated and properly addressed. With such integration, professionals can efficiently and confidently make informed assessments and if necessary, adjust treatment and care plans.

The outcome is to provide a more personalised level of care for each person. However, some barriers exist. Now, let’s start by remembering the reasons why we want to share the data. We are sharing data because that is essential if we are to provide the very best care we can to the patients. It also enables our stretched healthcare services to work in the most efficient way possible. As discussed in Alzheimer Europe Report, the modern definition of data is “information, especially facts and numbers, collected to be examined, considered and used.” Data originates from the Latin word “datum,” a singular term that means “that which is given.” Therefore, data sharing entails the act of giving: sharing data involves making it available for use by others, for example, investigators or stakeholders.

“More data should be available for the common good”

Summary Report on the open public consultation on the European strategy for data

To support public data altruism we need to understand the common good that comes from it. For example, if we look into the area of dementia research, there is a promise that big data can contribute to its acceleration and give us insight into dementia not only from the disease perspective but also in relation to lifestyles and other factors that can contribute to its manifestation. Quality datasets and good analytical tools can also be used in prevention and disease-management approaches.

To be efficient, different sets of data are needed to develop different approaches. Data relevant to medicine and public health are being generated from a range of sources, including individuals (i.e., through social media and internet-connected devices), public and private health systems, and health researchers. Moreover, we should not forget data from the social care sector. These data are increasingly digitised and critical for the development of new interventions, in particular those that use artificial intelligence and machine learning to improve outcomes.

The relationship between physical health and subjective well-being is, as we will discuss, bidirectional. Older people with illnesses may experience both depression and impaired hedonic and eudemonic (related to happiness) well-being. Well-being might also have a protective role in health maintenance. Therefore, interest in people’s daily lives, their habits, and other day-to-day behaviour is rising in the healthcare sector. Correlations among different parameters (especially connected with wellbeing) create potential opportunities to implement new effective pharmacological, therapeutic, care, and above all preventive interventions.

Today, there is much talk about precision medicine as “an emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle for each person.” Precision medicine could allow doctors and researchers to predict more accurately the most appropriate treatment and prevention strategies for a particular disease for specific groups of people.

“…the goal of precision medicine is to target the right treatments to the right persons at the right time.”

– FDA on precision medicine

Precision medicine in the context of dementia

Supporting persons with dementia has become the focus of several public health and research programs across the world. Living well with a long-term health condition such as dementia implies the need to monitor well-being within a supportive social environment, despite health-related adversity.

Various studies have shown that non-pharmacological interventions can improve the well-being of people living with dementia. Several studies monitor that aspect with quality of life (QoL) measurement tools as QoL affects the well-being of a person. Well-being is considered as the state of being comfortable, healthy, or happy. The Cambridge Dictionary simplifies the definition of the noun well-being into: “…the state of feeling healthy and happy.”

In simple terms, well-being can be described as judging life positively and feeling good. The National Institutes of Health (NIH) define well-being broadly, relating it to the following in particular: personal dignity (including treatment of the individual with respect), physical and mental health and emotional wellbeing, and protection from abuse and neglect.

There are three main research orientations on well-being: subjective well-being, psychological well-being and social well-being. Subjective well-being mainly refers to an individual’s overall evaluation of their quality of life at a particular stage, and according to the standards set by oneself.

"Well-being and quality of life go hand in hand.”

National Institute of Statistics and Economic Studies

FRANCE

Previous research on people with dementia shows that the concepts of comfort, inclusion, identity, and attachment may be used to characterize the subjective well-being of people with dementia. In one study, six conceptual categories to measure well-being were identified in adults with dementia:

Positivity: positive emotions that are frequently experienced in the ‘here-and-now setting; including feeling hopefulness, acceptance, and optimism.
Life purpose: making sense of dementia. Viewpoints shift toward existential implications such as transcendence and spiritual growth.
A positive sense of self: includes self-worth, identity, and self-efficacy.
Being active: making active choices to operate ‘normally’ and engaging in meaningful activities that boost positive emotions.
Healthy relationships: positive features and ‘good connections’ of interpersonal and societal interactions. Attachment and connection, a sense of belonging and safety, as well as feeling appreciated, loved and accepted by others.
Feeling well: being pleased and satisfied with one’s life as it is.

Research shows that lower levels of behavioral and psychological disturbance (depression, anxiety, disinhibition, and irritability subscales), younger age of the person living with dementia, and worse mental health condition of the caregivers are significantly correlated with lower a quality of life, which are good starting points for designing interventions. A situation that affects the caregiver has a secondary effect on the care process and the person with dementia. That is why we usually talk about QoL and the well-being of people living with dementia, that include the person with the disease, but also those who surround him or her.

Therefore, joint efforts from researchers and care providers, and multiple data sources, including those of the individuals that assume different societal roles are needed to allow precision medicine to become the reality.

REFERENCES

Alzheimer Disease’ International (n.d.). Dementia statistics. https://www.alzint.org/about/dementia-facts-figures/dementia-statistics/

Clarke, C., Woods, B., Moniz-Cook, E., Mountain, G., Øksnebjerg, L., Chattat, R., … & Wolverson, E. (2020). Measuring the well-being of people with dementia: a conceptual scoping review. Health and quality of life outcomes, 18(1), 1-14. DOI: 10.1186/s12955-020-01440-x

Hoe, J., Katona, C., Orrell, M., & Livingston, G. (2007). Quality of life in dementia: care recipient and caregiver perceptions of quality of life in dementia: the LASER‐AD study. International Journal of Geriatric Psychiatry: A journal of the psychiatry of late life and allied sciences, 22(10), 1031-1036. DOI: 10.1002/gps.1786

Kaufmann, E. G., & Engel, S. A. (2016). Dementia and well-being: A conceptual framework based on Tom Kitwood’s model of needs. Dementia, 15(4), 774-788. DOI: 10.1177/1471301214539690

Kim, S. (2020). World Health Organization quality of life (WHOQOL) assessment. Encyclopedia of quality of life and well-being research, 1-2.

Lauriks, S., Meiland, F., Osté, J. P., Hertogh, C., & Dröes, R. M. (2020). Effects of assistive home technology on quality of life and falls of people with dementia and job satisfaction of caregivers: Results from a pilot randomized controlled trial. Assistive technology, 32(5), 243-250. DOI: 10.1080/10400435.2018.1531952

Huang D, Wang J, Fang H, Wang X, Zhang Y, Cao S. Global research trends in the subjective well-being of older adults from 2002 to 2021: A bibliometric analysis. Front Psychol. 2022 Sep 9;13:972515. doi: 10.3389/fpsyg.2022.972515. PMID: 36160594; PMCID: PMC9500504.

Freedman VA, Carr D, Cornman JC, Lucas RE. Aging, mobility impairments and subjective wellbeing. Disabil Health J. 2017 Oct;10(4):525-531. doi: 10.1016/j.dhjo.2017.03.011. Epub 2017 Mar 22. PMID: 28385571; PMCID: PMC5610063.

Wahl B, Cossy-Gantner A, Germann S, Schwalbe NR. Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings? BMJ Glob Health. 2018 Aug 29;3(4):e000798. doi: 10.1136/bmjgh-2018-000798. PMID: 30233828; PMCID: PMC6135465.

Schwalbe N, Wahl B. Artificial intelligence and the future of global health. Lancet. 2020 May 16;395(10236):1579-1586. doi: 10.1016/S0140-6736(20)30226-9. PMID: 32416782; PMCID: PMC7255280.

Steptoe A, Deaton A, Stone AA. Subjective wellbeing, health, and ageing. Lancet. 2015 Feb 14;385(9968):640-648. doi: 10.1016/S0140-6736(13)61489-0. Epub 2014 Nov 6. PMID: 25468152; PMCID: PMC4339610.

#WorldAlzMonth 2022 – “Know Dementia, Know Alzheimer’s”

TeNDERadmin — Thu, 08 Sep 2022 09:32:18 +0000

Each year during September, people unite globally to raise awareness about Alzheimer’s Disease and other forms of dementia.

Alzheimer’s Disease International gathers resources in multiple languages and joins its 105 members worldwide to support research, raise funds for treatment and potential cures, improve our knowledge about dementia, and fight the stigma associated with it, among other activities.

In line with 2021’s campaign, which focused on the importance of knowing the warning signs of dementia and seeking a prompt diagnosis, 2022’s campaign will focus on ways communities, policies, and institutions can support people suffering from dementia and those who surround them.

Join us and other initiatives, organisations, and institutions supporting this year’s campaign!

Modern eHealth applications

TeNDERadmin — Thu, 23 Jun 2022 10:41:08 +0000

With the growing proportion of ageing populations, cognitive impairments, as well as heart disease, have become major social and health issues. According to the World Health Organization (WHO) [1] dementia (including Alzheimer’s disease) forms one of the biggest public health challenges worldwide.

At the same time, other reports from the WHO suggest that cardiovascular diseases (CVD) are considered the leading cause of premature death (37% of all deaths under the age of 70) and disability worldwide (WHO) [2].

People with dementia are estimated at 44m, an estimation that is set to double by 2030, eventually reaching 152m by 2050. Taking into consideration that the number of healthcare professionals and facilities cannot easily match the increasing needs, the usage of innovative technological approaches is more necessary than ever.

In this context, the adoption of eHealth applications can be beneficial to patients and healthcare professionals. Patients are encouraged to perform daily activities with support from eHealth, which can also support healthcare providers with certain care activities. Additionally, professionals can use specialised eHealth applications to access patients’ records in real-time and move a step further towards a personalised health approach.

People gain greater control over their health if they are well informed, skilled, and motivated. So, patients should have easier access to their health information, develop self-awareness of their condition, and be motivated to embrace self-care activities. The adoption of a well-designed eHealth application in everyday health practice can provide holistic solutions to extend the autonomy of patients while improving their Quality of Life (QoL) [3].

The requirements of a modern eHealth application can be summarized as follows:

Easy access to the patient’s health condition.

Patients understand better their history, current status, and the prognosis of their condition if they are able to manage their personal data. For example, the existence of an electronic health record system with enhanced capabilities (i.e., searching, entering, sharing, etc.) is very helpful.
Decision-making support.

A decision support system uses all available data to make recommendations regarding a patient’s condition and steps that might be taken to improve it, in an effort to optimise the care provided, the patient’s quality of life, and the load on the healthcare system.
Engaging self-care activities.

A recommendation system that engages patients in healthy, pleasurable, and sustainable actions by offering suggestions on a daily basis, adapted to their needs, and driven by their personal preferences, physical and physiological characteristics, as well as their health status.
Living independently.

A communication system that offers constant insight and real-time access and informs professional and family caregivers about unwonted events and dangerous situations. In this way, we prolong independent living and we are greatly reducing the response time and burden of all caregivers.

The TeNDER ecosystem fulfills the above requirements and provides a holistic solution for people with Alzheimer’s, Parkinson’s, and cardiovascular diseases, who may face other chronic conditions as well. The system uses a multi-sensorial system, even in the most severe cases, and matches with clinical (from Electronic Health Records EHRs) and clerical patient information, while preserving privacy, monitoring the ethical principles, and providing data protection and security, with the result of increased quality of life.

REFERENCES

[1] Alzheimer’s Disease International, World Alzheimer Report 2018: https://www.alz.co.uk/research/WorldAlzheimerReport2018.pdf?

[2] World Health Organisation (WHO), CVD Factsheet, May 2017, Available at https://www.who.int/en/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds)

[3] Chomutare, Taridzo, et al. “Healthcare and data privacy requirements for e-health cloud: A qualitative analysis of clinician perspectives.” 2020 IEEE International Conference on E-health Networking, Application & Services (HEALTHCOM). IEEE, 2021.

Danaja Fabcic Povse (VUB) presents paper at Harvard Law School conference

TeNDERadmin — Thu, 16 Jun 2022 08:11:26 +0000

On 15 June 2022, Danaja Fabcic Povse spoke at the Harvard Law School Petrie-Flom Center’s annual conference “Diagnosing in the Home: The Ethical, Legal, and Regulatory Challenges and Opportunities of Digital Diagnostics and Therapeutics Outside of Traditional Clinical Settings.”

Her paper analyses the challenges EU law presents for remote patient care technologies, drawing upon the early results of the TeNDER project concerning data protection, cybersecurity, and regulation of medical devices.

For more information, please check the conference website.

Tender Health

In conclusion

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TeNDER to participate in VUB-hosted symposium

Click here to learn more about the the keynote speakers and consult the preliminary programme!

Outreach activities

SERMAS Conference

Print material

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TeNDER: exploiting technologies to enhance quality of life through patient identification and emotion recognition

A year in publications

Follow us on Twitter this 2023 for news about TeNDER's results & findings

Understanding the impact of COVID-19 on the quality of life of chronic patients

Jennifer Jiménez Ramos

Data-sharing for precision medicine & the well-being of people with dementia

REFERENCES

#WorldAlzMonth 2022 – “Know Dementia, Know Alzheimer’s”

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Modern eHealth applications

The requirements of a modern eHealth application can be summarized as follows:

Danaja Fabcic Povse (VUB) presents paper at Harvard Law School conference

Check out the recording of the event here!