ENDOTARGET aims to collaborate with its sister projects – EU projects funded by the call topic “Personalised blueprint of chronic inflammation in health-to-disease transition”


Personalised blueprint intestinal health

The miGut-Health consortium aims to develop a personalised blueprint of intestinal health to predict and prevent inflammatory bowel disease. The overall goal is to deliver interdisciplinary solutions (molecular, nutritional, eHealth and patient engagement/empowerment level) for health promotion and disease prevention that would enable active patient engagement in health and self-care management.


Early Interception of Inflammatory-mediated Type 2 Diabetes

The overall concept of INTERCEPT-T2D is to establish whether an inflammatory-mediated profile contributes to the onset of Type 2 Diabetes (T2D) complications, thus enabling the identification of patients most at risk of complications and the design of personalised prevention measures. The project will bring a new and clinically relevant dimension in T2D care considering diagnosis inflammatory parameters that are of importance for the transition to T2D-related complications.


CArdiovascularREsolution of INflammation to promote HEALTH

Chronic inflammation is a critical residual risk for the health to cardiovascular diseases transition with limited possibilities to stop it without causing immunosuppression. To tackle this issue, CARE-IN-HEALTH proposes to identify the resolution of inflammation to develop new prevention strategies to lower inflammation with a retained immune defense against infections to sustainably stay healthy.


Imminent Disease Prediction and Prevention at the Environment Host Interface

IMMEDIATE aims to investigate and explore the diet-microbiome-immunometabolism-axis as a sensor for health-to-disease transition and evaluate strategies to maintain an individual’s well-being. The identification of clinical and omics-derived biomarkers will – by employing AI algorithms – yield a personalised risk / resilience score of chronic inflammation and thus a better prediction of an individual’s risk of transition towards disease.


Advanced PeRsOnalized Therapies for Osteoarthritis – Tackling inflammation to improve patient outcomes

The PROTO consortium strives to implement new evidence- and patient-centered treatment strategies for early- and pre-disease stages in osteoarthritis (OA) patients. The project intends to prevent health to disease transition by restoring physiological movement and reducing joint inflammation.


Glycans as master triggers of health to intestinal inflammation transition

GlycanTrigger proposes a thorough and innovative approach to better understand the health to chronic inflammation transition occurring in patients with Crohn´s disease that will be translated in improved disease prediction and prevention. The project will address how changes in glycosylation of the gut mucosa act as a primary event that dysregulates not only local mechanisms but also systemic mechanisms.


Biomarkers affecting the transition from cardiovascular disease to lung cancer – towards stratified interception.

Based on multiple OMIC- approaches, PREVALUNG EU will conduct a prospective study in cardiovascular disease (CVD) tobacco consumers. This will allow to unveil four drivers of early carcinogenesis leading to actionable biomarkers that can be harnessed to pioneer personalised interceptive measures.


Physics informed machine learning-based prediction and reversion of impaired fasting glucose management

The aim of PRAESIIDIUM is to develop a prototype tool for the real-time prediction of the prediabetic risk based on a series of patient-specific mathematical models that simulate metabolism, pancreas hormone production, microbiome metabolites, inflammatory process and immune system response. The prediction algorithm will be based on a “physics-informed machine learning” approach.


An Artificially Intelligent Diagnostic Assistant for gastric inflammation

AIDA aims (i) to help researchers to understand the mechanisms that trigger gastric oncogenesis, (ii) to help clinicians diagnose precancerous inflammation at the earliest possible stage, (iii) to select personalised therapeutic strategies for treatment and follow-up, and (iv) to make personalised recommendations for monitoring patient health status, thus contributing to gastric cancer prevention.


Discovering chronic inflammation biomarkers that define key stages in the Healthy-to-NASH (non-alcoholic steatohepatitis) transition to inform early prevention and treatment strategies

Halt-RONIN aims to uncover the early triggers of Non-alcoholic fatty liver disease (NAFLD) initiation and complex mechanistic drivers of disease progression by implementing a systems biology approach with integrative disease modelling resulting in opportunities for the improvement of the existing detection methods, providing a blueprint to inform personalized intervention strategies and drug discovery for NAFLD.


Inflammation in human early life – targeting impacts on life-course health

INITIALISE focuses on the development of the human immune system in early life, which impacts the risks of several diseases later in life, particularly immune-mediated diseases such as allergies, asthma, and autoimmunity. With the help of intersecting multiple cohorts and existing biobanks, applying state-of the art technologies for exposure analyses and immune system investigation, the project will try to understand the environmental factors shaping human immune systems early in life, their mechanisms of action, and impact on life-course health.


Psoriatic arthritis inflammation explained through multi-spurce data analysis guiding a novel personalised digital care ecosystem

PROLEPSIS aspires to shed light upon the health to Psoriatic Arthritis (PsA) transition with a comprehensive multiscale/multifactorial PsA model employing novel trustworthy AI-based analysis of multisource and heterogenous data. The project aims to identify key drivers of PsA onset and supports personalised models for PsA risk/progression prediction and monitoring as well as associated inflammation detection and severity assessment.

Further relevant initatives and projects in the research field of ENDOTARGET we want to collaborate with


European Alliance of Associations for Rheumatology

The European Alliance of Associations for Rheumatology, EULAR, is the organisation which represents the people with arthritis/rheumatism, health professionals in rheumatology (HPR) and scientific societies of rheumatology of all the European nations.


Digital Health Uptake

Digital Health Uptake (DHU) is an EU-funded project under the Digital Europe Programme. The aim is to facilitate the alignment of policies, strategies, instruments and activities to advance the uptake of digital health solutions and services in Europe.


LongCOVID – decision support for prediction and management of LCS

The EU-funded Long Covid project will develop tools to support physicians in accurately managing Long COVID syndrome (LCS). Currently, very little is known about clinical manifestations, risk factors and underlying mechanisms. The project will fill this knowledge gap by combining front-line expertise from the fields of clinical medicine, virology, metabolism and immunology. Also, a machine learning and AI-informed Long prediction tool will be developed to predict the LCS and its possible clinical manifestations in patients.


Smart Health Innovation & Future Technologies Hub

Technological advances such as artificial intelligence and big data are set to transform healthcare in a positive way. These smart health technologies usually employ sensors to obtain information that is transmitted and processed using cloud computing. However, their uptake is often impeded by poor awareness and literacy. To address these limitations, the EU-funded SHIFT-HUB project proposes to establish a patient-driven approach for creating and adopting smart health solutions. The project will set up a pan-European innovation hub, bringing together various stakeholders to collaborate on the future development of smart health innovations. It will create a network of healthcare organisations that will implement selected smart health applications after they have been tested by patients and online users.

ENCA Network

The global network for chidren with arthritis and autoinflammatory conditions

ENCA is the global network for children with arthritis and autoinflammatory conditions. This network is led for and by parents and young people living with rheumatic, musculoskeletal and autoinflammatory diseases. ENCA is the ‘The parent’s organisation subcommittee’ of the Paediatric Rheumatology European Society (PReS), and we represent patients, parents and patient organisations.

Reach out to the ENDOTARGET EU Project