Smoking and other forms of tobacco consumption are considered the single most important cause of preventable morbidity and premature mortality worldwide. Efforts to reduce the devastation of tobacco-related deaths and illness in the EU consist of the Tobacco Products Directive (TPD), and the ongoing implementation of the WHO Framework Convention on Tobacco Control (FCTC). The main objective of EUREST-PLUS is to monitor and evaluate the impact of the TPD within the context of FCTC ratification at an EU level. Our 4 specific objectives hence are: 1) To evaluate the psychosocial and behavioral impact of TPD implementation and FCTC implementation, through the creation of a longitudinal cohort of adult smokers in 6 EU MS (Germany, Greece, Hungary, Poland, Romania, Spain; total n=6000) in a pre- vs. post-TPD study design. 2) To assess support for TPD implementation through secondary dataset analyses of the Special Eurobarometer on Tobacco Surveys (SETS), cross-sectional surveys performed among 27,000 adults in all 28 EU MS, before the TPD is implemented and to monitor progress in FCTC implementation in the EU over the past years through trend analyses on the merged datasets of the 2009, 2012 and 2015 SETS datasets (n=80,000). 3) To document changes in e-cigarette product parameters (technical design, labelling/packaging and chemical composition) following implementation of Article 20 of the TPD. 4) To enhance innovative joint research collaborations, through the pooling and comparisons across both other EU countries of the ITC Project (UK, NL, FR), and other non-EU countries . Tackling tobacco use is quintessential to reducing the impact of chronic NCDs, a topic EUREST-PLUS will stride to lead.

OPTIMA is a multi-stakeholder-led consortium with the vision that each and every patient should have access to the most up-to-date individualised treatments and to innovative therapies. In that perspective, we will design, develop and deliver the first interoperable and GDPR compliant European real-world oncology data and evidence generation platform, along with decision support toolsets for prostate, lung and breast cancer. By designing this platform from the onset based on the needs of the clinicians and patients in an inclusive and sustainable way, OPTIMA aims to strengthen shared decision-making based on innovative data and AI-driven technology and tools. To achieve our vision, we have united the key partners from other data-driven European wide oncology initiatives (PIONEER, EHDEN, HARMONY) in our project along with Europes leading clinicians in the fields of breast, prostate and lung cancer that all have leading roles in medical societies such as ERS, ESMO, and EAU. At the core of the OPTIMA project are the major guideline offices of the three indications, whilst the project is further strengthened by patient advocacy groups, well-known academic partners and 6 SMEs as partners covering the needed expertise to implement OPTIMA successfully. The platform will build on existing open source solutions such as the OMOP-CDM, tranSMART and OHDSI ATLAS whilst developing novel AI models based on federated learning to facilitate knowledge discovery. At the start of the project, we will already have access to datasets covering over 200M people in Europe, along with data from high quality patient cohorts for AI model building. Moreover, the platform will be hosted in-kind on existing infrastructure provided by Helmholtz Institute in Germany. Finally, OPTIMA envisions sustainability of its platform through a value-based approach with various business models for commercial users.

In this project, a multinational consortium of high-tech SMEs, academic research institutes, biotech and pharma partners, affiliated patient-centred organisations and professional societies will achieve a multi-faceted diagnostic and prognostic platform and a precision medicine approach. This consortium will together realize a patient empowerment centred decision support system that will enable multiple stakeholders to participate in improved and more rapid diagnosis and prognosis, as well as the potential of precision medicine for accelerated development of new therapies. Citizens and patients will be empowered to contribute to the efficient planning and usage of resources. The project will begin by rapidly delivering a nomogram. Data from the pandemic will be used to validate and further optimise a scalable multifactorial diagnosis/prognosis solution. Existing and new data and sample collection efforts will be used to perform molecular profiling, which - using advanced AI techniques will be shaped into a precision medicine approach. These initial outputs will undergo further enhancement and assessment to evaluate the value they add to the development of a decision support system. The entire effort will be supported by the deployment of a federated machine learning system that will allow for the GDPR compliant use of multinational data resources. The various iterations of the decision support system and the federated machine learning system will be made available to other coronavirus initiatives with the intent to develop a stakeholder community that forms the basis for a highly efficient innovation ecosystem. Our proposed study will be one of the first to develop innovative machine learning, and clinical procedure improvement that will potentially make a huge socio-economic impact for the coronavirus outbreak.