ai clinical trials Archives - Healthentia https://healthentia.com/tag/ai-clinical-trials/ Tue, 05 Aug 2025 10:50:40 +0000 en-US hourly 1 https://healthentia.com/wp-content/uploads/2020/04/cropped-favicon_512-32x32.png ai clinical trials Archives - Healthentia https://healthentia.com/tag/ai-clinical-trials/ 32 32 193384636 AI state-of-play around clinical research https://healthentia.com/ai-state-of-play-around-clinical-research/ Fri, 10 Nov 2023 12:28:01 +0000 https://healthentia.com/?p=20150 CATEGORY: eHealth, Health monitoring, telemonitoring, COPD Remote patient monitoring SOURCE: Int. J. Environ. Res. Public Health 2020, 17(21), 7893; https://doi.org/10.3390/ijerph17217893 Acceptance and Potential Impact of the eWALL Platform for Health Monitoring and Promotion in Persons with a Chronic Disease or Age-Related Impairment Francesco Infarinato, Stephanie Jansen-Kosterink, Paola Romano, Lex van Velsen, Harm op den Akker, Federica Rizza, Marco Ottaviani, Sofoklis Kyriazakos, Beatrix Wais-Zechmann, Markus Garschall, Stefano Bonassi,...

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CATEGORY: eHealth, Health monitoring, telemonitoring, COPD Remote patient monitoring

SOURCE: Int. J. Environ. Res. Public Health 2020, 17(21), 7893; https://doi.org/10.3390/ijerph17217893

Acceptance and Potential Impact of the eWALL Platform for Health Monitoring and Promotion in Persons with a Chronic Disease or Age-Related Impairment

Francesco Infarinato, Stephanie Jansen-Kosterink, Paola Romano, Lex van Velsen, Harm op den Akker, Federica Rizza, Marco Ottaviani, Sofoklis Kyriazakos, Beatrix Wais-Zechmann, Markus Garschall, Stefano Bonassi, and Hermie J. Hermens

Abstract

Pervasive health technologies can increase the effectiveness of personal health monitoring and training, but more user studies are necessary to understand the interest for these technologies, and how they should be designed and implemented. In the present study, we evaluated eWALL, a user-centered pervasive health technology consisting of a platform that monitors users' physical and cognitive behavior, providing feedback and motivation via an easy-to-use, touch-based user interface. The eWALL was placed for one month in the home of 48 subjects with a chronic condition (chronic obstructive pulmonary disease-COPD or mild cognitive impairment-MCI) or with an age-related impairment. User acceptance, platform use, and potential clinical effects were evaluated using surveys, data logs, and clinical scales. Although some features of the platform need to be improved before reaching technical maturity and making a difference in patients' lives, the real-life evaluation of eWALL has shown how some features may influence patients' intention to use this promising technology. Furthermore, this study made it clear how the free use of different health apps is modulated by the real needs of the patient and by their usefulness in the context of the patient's clinical status.

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Discovering Composite Lifestyle Biomarkers With Artificial Intelligence From Clinical Studies to Enable Smart eHealth and Digital Therapeutic Services https://healthentia.com/discovering-composite-lifestyle-biomarkers-with-artificial-intelligence-from-clinical-studies-to-enable-smart-ehealth-and-digital-therapeutic-services/ Mon, 06 Sep 2021 15:01:45 +0000 https://healthentia.com/?p=18742 Topics: eHealth, patient reported outcomes, e-clinical platform, smart eHealth SOURCE: Front. Digit. Health, 06 September 2021;  BOOK DOI Link, Chapter DOI Link Discovering Composite Lifestyle Biomarkers With Artificial Intelligence From Clinical Studies to Enable Smart eHealth and Digital Therapeutic Services Sofoklis Kyriazakos 1,2* ; Aristodemos Pnevmatikakis 1 ; Alfredo Cesario 1,3 ; Konstantina Kostopoulou 1 ;...

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Topics: eHealth, patient reported outcomes, e-clinical platform, smart eHealth

SOURCE: Front. Digit. Health, 06 September 2021;  BOOK DOI Link, Chapter DOI Link

Discovering Composite Lifestyle Biomarkers With Artificial Intelligence From Clinical Studies to Enable Smart eHealth and Digital Therapeutic Services

Sofoklis Kyriazakos 1,2*Aristodemos Pnevmatikakis 1 ; Alfredo Cesario 1,3 ; Konstantina Kostopoulou 1 ; Luca Boldrini 4; Vincenzo Valentini 4,5 ; Giovanni Scambia 4 

1   Innovation Sprint Sprl, Brussels, Belgium
2   Business Development and Technology, Aarhus University, Herning, Denmark
3   Scientific Directorate, Fondazione Policlinico Universitario A. Gemelli Istituto di Ricovero e Cura a Carattere Scientifico, Rome, Italy
4   Advanced Radiation Therapy, Fondazione Policlinico Universitario A. Gemelli Istituto di Ricovero e Cura a Carattere Scientifico, Rome, Italy
5   Università Cattolica del Sacro Cuore, Rome, Italy
*   Author to whom correspondence should be addressed

Abstract

Discovery of biomarkers is a continuous activity of the research community in the clinical domain that recently shifted its focus toward digital, non-traditional biomarkers that often use physiological, psychological, social, and environmental data to derive an intermediate biomarker. Such biomarkers, by triggering smart services, can be used in a clinical trial framework and eHealth or digital therapeutic services. In this work, we discuss the APACHE trial for determining the quality of life (QoL) of cervical cancer patients and demonstrate how we are discovering a biomarker for this therapeutic area that predicts significant QoL variations. To this extent, we present how real-world data can unfold a big potential for detecting the cervical cancer QoL biomarker and how it can be used for novel treatments. The presented methodology, derived in APACHE, is introduced by Healthentia eClinical solution, and it is beginning to be used in several clinical studies.

Keywords: digital biomarkers, machine learning, ai clinical trials, Healthentia, real-world data, e-clinical platform

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