Fundamental changes occurred in the study of nature between the late 15th and 18th centuries, leading to the emergence of modern science as we know it. This process would have been impossible without Latin as the scientific lingua franca of the era, just as today's science is hard to imagine without English. At present, this crucial role of Latin is insufficiently acknowledged, and the hundreds of thousands of scientific texts written in Latin have largely remained neglected. This severely limits the scope of research into the history of early modern science, an otherwise thriving field. The proposed project intends to decisively advance our understanding of the interrelation of Latin and science in early modern times. By applying the methods of Latin philology, yet at the same time reaching out to historians of science, it will establish early modern scientific literature in Latin as an interdisciplinary research field. This will be accomplished (a) by examining and classifying the formal variety and range of content of this literature to create an overall picture (b) by analysing its function as a medium of communication within and beyond the scientific community. To realise the first of these objectives, a tripartite database for authors, early modern texts, and secondary literature will be compiled and a sourcebook with a selection of digitally searchable texts put together, both of which will be made available online. A monograph will provide an overview structured according to the literary genres of early modern scientific literature in Latin. The second objective will be achieved through a series of interlinked monographs, whose analyses will build on the system of ancient rhetoric, the most important communicative paradigm of the early modern age. On this basis, four key functions of Latin scientific texts will be assessed: naming new phenomena; describing and explaining them; convincing others of the views expressed; and promoting science.

In the EU alone, according to the Orphanet DB (https://pubmed.ncbi.nlm.nih.gov/31527858/), 30 million persons, 3,5-6% of the general population, are affected by one of the 6,172 different rare diseases (RDs) of which 72% are genetic and 70% affect children. The path to diagnosis for people suffering from a RD is burdensome, often severely delayed by a diagnostic odyssey. Lack of timely diagnosis affects disease management, family planning, identification of potential beneficial treatments and / or clinical trials. This unacceptable situation does not meet the concept of equity for EU citizens, and requires rapid, structured, and cost-effective corrective actions. The Screen4Care (S4C) consortium will leverage the genomic and digital advent to develop and pilot genetic NBS and AI-guided symptom recognition algorithms, while accounting for all relevant legal, regulatory and ethical considerations. S4C aims to harmonize the results of existing efforts in a horizon scan, by looking at the totality of the available data resources, diagnostic algorithms, and other initiatives with similar ultimate goals. The genetic NBS will interrogate 1) currently treatable RDs (TREAT-map gene panel), 2) actionable RDs (ACT-map gene panel) in 18.000 new-borns in 3 EU countries (D, It, and Cz). Further, S4C will offer whole genome sequencing (WGS) to early symptomatic babies, tested negatively during panel-based NBS to identify known NBS-escaped RDs and novel genes/phenotypes. S4C will also provide two digital diagnosis support systems for RD on the basis of features and symptom complexes: 1) federated ML- and literature-evidence-based algorithm for continuous and automated screening of EHR and 2) meta symptom checker with virtual clinics for patients and HCP offering the possibility of increased accuracy of diagnosis and ongoing supports. Our ambitious goal is to evaluate the validity of our multi-pronged approach to shorten the time to diagnosis for all patients affect by RDs, improve value-based healthcare resource utilization, and hopefully reduce the suffering of millions of European citizens.

Endoplasmic reticulum (ER) stress is emerging as a common feature in the pathology of numerous diseases including cancer, neurodegenerative disorders, metabolic syndromes and inflammatory diseases. Thus ER stress represents a potential therapeutic intervention point to be exploited to develop novel therapies, diagnostic tools and markers for these diseases. However, exploitation is hampered by the shortage of scientists with interdisciplinary training that can navigate with ease between the academic, industrial and clinical sectors, and that have the scientific and complementary skills, together with an innovative outlook, to convert research findings into commercial and clinical applications. This proposal will bring young researchers together with world-leading academics, clinicians and industry personnel, who are united in (1) their goal of forming a network of excellence aimed at understanding the ER stress response mechanistically and quantitatively and (2) applying this understanding to identify and validate the most suitable intervention points in order to provide innovative knowledge-driven strategies for the treatment of ER stress-associated diseases. The TRAIN-ERS network will provide early stage researchers (ESRs) with high quality scientific and complementary skills training combined with international, intersectoral work experience. This will produce highly trained, innovative, creative and entrepreneurial ESRs with greatly enhanced career prospects, who will continue to advance the state of the art in the Biomedical field in their further careers, and will confidently navigate at the interface of academic, clinical and private sector research. The TRAIN-ERS research programme will provide the ESR’s with the knowledge and the cutting edge scientific and technical skills that will drive our understanding and exploitation of the ER stress response for therapeutic and diagnostic purposes.

EU-TRAINS aims to reinforce the supply chain on sensors for biomechanics and cardiovascular system real-time monitoring targeting applications in the fields of fitness and healthcare. It leverages from the strength of EU digital microsystem and design to support a 100% made-in-Europe supply chain of solutions which encompass smart-textile integration as well as advanced AI-based edge-cloud data processing. In details the following outcomes are foreseen: - Textile integrated electronic systems for real-time monitoring of hearth, respiratory and movement parameters on-the-air and in-water through an interdisciplinary approach; - Semiconductor technologies which allow the re-use of micro-nano systems both in the sports and in the healthcare sectors; - Miniaturized devices allowing the capturing of bio-chemical parameters able to withstand harsh ambient conditions such as salt fogs, chlorine, detergents, high and low temperatures, etc. The following key activities are targeted: - Development, prototyping and demonstration of versatile sensors with edge AI features for improved precision and reliability, that can also be integrated in textiles as well as in smart wearable wrist-watches and in sport equipment and gears targeting also underwater applications; - Cloud-edge Artificial Intelligence combined approaches for reliable diagnosis of body parameters. This will comprise sensor’s self-learning, remote update, multi-sensing approaches based on sensor arrays; - Novel materials that support electronics printing in textiles with stretchability and self-healing capabilities. Societal benefits are foreseen in the transition to a healthier lifestyle by promoting regular physical activity through affordable tools and services for a large audience, including people with disabilities. Moreover, this will impact the smart/remote-healthcare sector which will benefit of the availability of low-cost microfabricated solutions for intelligent, versatile, connected body sensors.