Projects
The general purpose of PRECISEU is connecting innovation ecosystems across Europe to efficiently advance towards a trulypersonalised healthcare, transferring practices and solutions from region to region and scaling up deep-tech healthcare innovationsbased on advanced therapies medicinal products and health data across Europe.
The PRECISEU consortium...
A number of European leading Research Organizations (referred as RTOs hereafter) and research supporting organizations, with a long history of scientific and technology collaboration with Japan, are building a consortium for a proposal focusing on the development of joint High Performance Computing (HPC) applications for future generations of supercomputing...
The COVID pandemic can be seen as an experiment conducted on the entirety of humankind (as almost everybody has been or will get infected with SARS-CoV-2). It will therefore have the best coverage over the widest variation possible and is therefore ideally suited to study the effects of infections with SARS-CoV-2 on large quantities of heterogeneous individuals.
Los datos ómicos, heterogéneos, interconectados, a nivel de sistemas, están cada vez más disponibles y se aplican en la medicina de precisión. Buscamos estratificar mejor a los pacientes en grupos de riesgo, descubrir nuevos biomarcadores para enfermedades, personalizar tratamientos médicos y reutilizar medicamentos conocidos para...
Life Science is becoming increasingly dependnt on data-driven and HPC research. BioTeam/Hyperion's 2022 estimates show that 95% of Life Science projects are dependent on HPC. The rapid response to Covid-19 showed how an EU collaboration between pharma industry, Life Science researchers and supercomputing centres resulted in several newly identified hits now undergoing...
The COVID-19 pandemic has starkly demonstrated the need for better disease intelligence that is capable of anticipating and identifying epidemic risks and outbreaks. This includes emerging and re-emerging mosquito-borne disease (MBD) risks. In the absence of effective vaccine solutions for most MBDs, attention has turned to vector management as an effective, but underutilized opportunity for...
As our planet heats up due to climate change, outbreaks of zoonotic diseases – diseases that spread from animals to humans – are increasing and expanding to new parts of the world, in particular Europe. Warmer temperatures, more variable rainfall, and the loss of biodiversity influence the survival and spread of zoonotic pathogens, and the reproduction and geographic location of...
The BSC's Health Language Technology group generates AI and deep-learning based natural language processing resources, including components, annotated data/protocols. It also defines evaluation scenarios to assess and monitor the quality of implementations by the global research community through high impact open data benchmark shared tasks (BioCreative/IberLEF/CLEF). Our...
El projecte El Català i la IA (ECIA) té com objectiu generar els recursos lingüístics necessaris per al català, que permetin i facilitin desenvolupar aplicacions en llenguatge natural com chat bots, traductors automàtics, aplicacions d'extracció d'informació o resum automàtics. La tecnologia de la llengua...
Beyond-COVID (BY-COVID) aims to provide comprehensive open data on SARS-CoV-2, and other infectious diseases across scientific, medical, public health and policy domains. The project will have a strong emphasis on mobilising raw viral sequences, helping to identify and monitor the spread of SARS-CoV-2 variants. It will further accelerate access to and linking of data and...
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