European researchers have made leading contributions to the large genomic, transcriptomic and clinical datasets from patients with chronic diseases. Advances in information science provide unprecedented opportunities for using these datasets to elucidate the complex biology of these disorders, its influence by environmental triggers, and to personalise their management. Currently, exploitation of these opportunities is limited by a shortage of researchers with the required informatics skills and knowledge of requisite data protection principles. HELICAL addresses this unmet need by developing a trans-sectoral and interdisciplinary training programme that builds on the expertise and existing collaborations of its partners. It provides 15 early stage researchers with training in analysis of large datasets, using autoimmune vasculitis as a paradigm as it is scalable, and as comprehensive biological and clinical datasets are already available. The HELICAL training program focuses on three complementary areas: application of informatics to such datasets to gain new biological insights; translation of these into practical clinical outputs and management of ethical constraints imposed on such studies. The programme will be delivered through a multidisciplinary, trans-sectoral partnership of Academic and Industry researchers with expertise in basic biomedical research, epidemiology, statistics, machine learning, health data governance and ethics. Therefore, HELICAL exploits recent advances in data science to link research datasets with longitudinal healthcare records, based on the robust ethical foundation required for linkage studies using near-patient data, to address key experimental questions. The results will have obvious potential for transforming healthcare in the field of autoimmune disease. The training provided addresses a key skills gap in the European workforce and should make the ESR eminently employable in academic, industrial and clinical sectors.

The OLEUM project will generate innovative, more effective and harmonized analytical solutions to detect and fight the most common and emerging frauds and to verify the overall quality of olive oils (OOs). By a core group of 20 partners from 15 countries OLEUM will undertake RESEARCH ACTIVITIES based on the development of IMPROVED and NEW ANALYTICAL METHODS by targeted and omics approaches with the aim: i) to detect new markers of the soft deodorization process; ii) to discover illegal blends between OOs and other vegetable oils; iii) to control OO quality (e.g. freshness); iv) to improve the organoleptic assessment with a Quantitative Panel Test, based on current official methods, and supported by tailored reference materials for better calibration of the sensory panels coupled with rapid screening tools to facilitate the work of the panelists. The most promising OLEUM solutions will be subjected to VALIDATION in conformity with internationally agreed standards by peer laboratories. OLEUM will recreate a realistic “deodorization scenario” by producing tailored, soft deodorized OOs by lab-scale and up-scaled pilot plants to apply analytical solutions to known samples. Substantial KNOWLEDGE and TECHNOLOGY TRANSFER activities will be envisaged to aid in implementation of: a) a web-based easily-accessible, scalable and constantly updated OLEUM DATABANK, containing all the information from OLEUM research and other reliable international sources, will be available for download data and spectra and to help achieve satisfactory harmonization of analytical approaches among control laboratories; b) the OLEUM NETWORK of relevant OOs stakeholders to maximize the impact of proposed analytical solutions. Finally, a robust dissemination strategy by the OLEUM project aimed at effectively sharing results with all stakeholders in the OO supply chain has the potential to improve consumer and market confidence, and preserve the image of OOs on a global scale.

The world demographic growth and global climate change are major challenges for human society,hence the need to design new strategies for maintaining high crop yield in unprecedented environmental conditions.The objective of TomGEM is to design new strategies aiming to maintain high yields of fruit and vegetables at harsh temperature conditions, using tomato as a reference fleshy fruit crop.As yield is a complex trait depending on successful completion of different steps of reproductive organ development, including flower differentiation and efficient flower fertilization,TomGEM will use trans-disciplinary approaches to investigate the impact of high temperature on these developmental processes.The core of the project deals with mining and phenotyping a vast range of genetic resources to identify cultivars/genotypes displaying yield stability and to uncover loci/genes controlling flower initiation,pollen fertility and fruit set.Moreover,since high yield and elevated temperatures can be detrimental to quality traits,TomGEM will also tackle the fruit quality issue.The goal is to provide new targets and novel strategies to foster breeding of new tomato cultivars with improved yield.The main strength of TomGEM resides in the use of unique and unexplored genetic resources available to members of the consortium.It gathers expert academic researchers and private actors committed to implement a multi-actor approach based on demand driven innovation.Tomato producers and breeders are strongly involved from design to implementation of the project and until the dissemination of results.TomGEM will provide new targets and novel strategies to foster the breeding of new tomato cultivars with improved yield under suboptimal temperature conditions.TomGEM will translate scientific insights into practical strategies for better handling of interactions between genotype,environment and management to offer holistic solutions to the challenge of increasing food quality and productivity.