Tools




Projects

​Humangenphen: scalable extraction of human genetic and phenotypic data from peer-reviewed literature

This project will extend and integrate the participants' existing text mining tools to provide a reusable workflow to extract human genotype-phenotype associations from scientific literature full-texts, tables and supplementary materials. These data will be imported into GWAS Central and DisGeNET, accelerating FAIR access to pioneering findings such as COVID-19 GWAS. The development of an annotated GWAS corpus based on full-text articles will enable the evaluation of existing and future text mining methodologies for extracting genotype-phenotype associations and metadata. This project is funded by ELIXIR for the period 2022-23.

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IMPaCT Data es el Programa de Ciencia de Datos de la Infraestructura de Medicina de Precisión asociada a la Ciencia y la Tecnología (IMPaCT), en el que participan 47 instituciones de todas las comunidades, con institutos de investigación sanitaria, empresas, universidades o centros de investigación. Este proyecto está financiado por el Instituto de Salud Carlos III para el periodo 2021 a 2023.

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RISK-HUNT3R

RISK assessment of chemicals integrating HUman centric Next generation Testing strategies promoting the 3Rs, RISK-HUNT3R, is the new European effort to develop a new modular framework for animal-free next generation risk assessment (NGRA) driven by world-leading experts from various disciplines. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 964537 for the period 2021 till 2026.

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PROMPT: Toward PrecisiOn Medicine for the Prediction of Treatment response in major depressive disorder through stratification of combined clinical and -omics signatures. ERANET funded by AECC and ISCIII for the period 2021 - 2023.

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The PROMPT project website

ERNEST

All cells face the vital challenge of sensing their environments and responding in appropriate ways. How are different signalling pathways activated and modulated in precise and reproducible ways? Filling this gap in knowledge is absolutely necessary to advance the next generation of pharmaceutical drugs. Cost Action ERNEST: “European Research Network on Signal Transduction” is funded by the H2020 Framework Programme of the European Union for the period 2019 to 2023.

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MINDCOVID, tiene por objetivo estudiar la salud mental de los trabajadores sanitarios así como los enfermos de la COVID-19 y sus contactos cercanos. Todos ellos son colectivos vulnerables al previsible impacto psicológico de la pandemia por COVID-19. El proyecto está financiado por el Instituto de Salud Carlos III y coordinado por el IMIM.

Web del Proyecto

El proyecto VEIS (Valorización del Archivo Europeo de Genoma-Fenoma (EGA) para la Industria y la Sociedad) tiene por objetivo desarrollar, promover y gestionar una serie de herramientas computacionales para permitir un fácil acceso a EGA (Archivo Europeo de Genoma-Fenoma) y a los datasets almacenados en este archivo. Para hacerlo, se creará un ecosistema abierto de tecnologías que cubra y se adapte a las necesidades de análisis e interpretación de datos ómicos y clínicos en entornos de investigación y de aplicación en biomedicina a través de la base de datos EGA. La UPF coordina este proyecto que está cofinanciado en un 50% por FEDER 2014-20 y el Departament de Recerca i Universitats de la Generalitat de Catalunya.

web del proyecto

EHDEN Pilot y EHDEN COVID-19 Rapid Collaboration

The European Health Data & Evidence Network (EHDEN) project, was launched to address the current challenges in generating insights and evidence from real-world clinical data at scale, to support patients, clinicians, payers, regulators, governments, and the pharmaceutical industry in understanding wellbeing, disease, treatments, outcomes and new therapeutics and devices. EHDEN is proud to have collaborated with OHDSI colleagues in ongoing studies since March 2020 on COVID-19. This project is funded by the IMI JU (EU H2020 and EFPIA).  

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More information about EHDEN Pilot y EHDEN COVID-19 Rapid Collaboration

AIDD

Advanced machine learning for Innovative Drug Discovery, AIDD project aims to develop methods to contribute to an integrated "One Chemistry" model that can predict outcomes ranging from different properties to molecule generation and synthesis. Training on various modalities allows the model to understand how to intertwine chemistry and biology to develop a new drug making its design robust and explainable. This project is an Innovative Training Network (ITN) funded by the European Commission for the period 2021 - 2023. 

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Disc4All

Disc4All Project, an Innovative Training Network (ITN) funded by the European Commission for the period 2020 - 2023, aims to integrate available data and computational simulations on back pain caused by intervertebral disc degeneration with a multidisciplinary translational medicine approach.   

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