ai clinical trials Archives - Healthentia https://healthentia.com/tag/ai-clinical-trials/ Fri, 10 Nov 2023 12:28:01 +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   The “AI state-of-play around clinical research” is a white paper recently published by the AI joint Task Force from the European CRO Federation (EUCROF) and the eClinical Forum (eCF). This is a position paper that provides information about AI and ML in clinical research around the globe, with emphasis in US and Europe. The...

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The “AI state-of-play around clinical research” is a white paper recently published by the AI joint Task Force from the European CRO Federation (EUCROF) and the eClinical Forum (eCF). This is a position paper that provides information about AI and ML in clinical research around the globe, with emphasis in US and Europe.

The use cases presented include: AI to enhance clinical trial operations, feasibility exploration according to inclusion/exclusion criteria for recruitment, patient and site recruitment, applications to improve trial operations, risk-based monitoring and data management, task automation, applications for Real World Evidence (RWE), medical coding, and more.

The paper also presents clinical evaluation challenges for the development and validation of AI and concludes with the positions of the AI Task Force, including the promise for improving treatments and clinical research, the risks, and the challenge for using AI given the current state of evolving regulations.

Sofoklis Kyriazakos, leader of the AI joint Task Force, says “This white paper is an important milestone for the industry that sees the benefits of AI and puts efforts to understand the environment and how to transform the challenges into opportunities. This has been a very nice team work that underlines the importance of joining forces to make a step forward and adopt AI technologies”.

See publication: https://www.eucrof.eu/images/23_11_06_AI_State-of-Play_Around_Clinical_Research_15Sep23__vPR1_Approved_by_eCF_SC_for_Release.pdf

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]]> 20150 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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