ERD

Implementation of phenotype harmonization

Project: INTERVENE

Updated at: 13-08-2024

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Project acronym INTERVENE

Access to a biobank data set through implementation of local biobank APIs and cloud resources to support federated conso...

Project: INTERVENE

Updated at: 13-08-2024

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Project acronym INTERVENE

Report of available data resources and plan for data harmonization strategy

Project: INTERVENE

Updated at: 13-08-2024

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Project acronym INTERVENE

Periodic Reporting for period 2 - INTERVENE (International consortium for integrative genomics prediction)

Project: INTERVENE

Updated at: 28-02-2024

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Project acronym INTERVENE

Disease endpoint selection based on available resources and AI based methods

Project: INTERVENE

Updated at: 28-02-2024

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Project acronym INTERVENE

HAPNEST: An efficient tool for generating large-scale genetics datasets from limited training data

Project: INTERVENE

Updated at: 28-02-2024

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Project acronym INTERVENE

Genetic validation of disease endpoints

Project: INTERVENE

Updated at: 28-02-2024

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Project acronym INTERVENE

Integrating transcriptomics, metabolomics, and GWAS helps reveal molecular mechanisms for metabolite levels and disease ...

Project: INTERVENE

Updated at: 14-11-2023

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Project acronym INTERVENE

Estimation of recurrent atherosclerotic cardiovascular event risk in patients with established cardiovascular disease: t...

Project: INTERVENE

Updated at: 14-11-2023

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Project acronym INTERVENE

ANGPTL8 protein-truncating variant associated with lower serum triglycerides and risk of coronary disease.

Project: INTERVENE

Updated at: 14-11-2023

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Project acronym INTERVENE

Integration of questionnaire-based risk factors improves polygenic risk scores for human coronary heart disease and type...

Project: INTERVENE

Updated at: 14-11-2023

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Project acronym INTERVENE

Reducing noisy annotations for depression estimation from facial images

Project: INTERVENE

Updated at: 14-11-2023

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Project acronym INTERVENE

A unified framework for estimating country-specific cumulative incidence for 18 diseases stratified by polygenic risk

Project: INTERVENE

Updated at: 14-11-2023

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Project acronym INTERVENE

Clinical Conditions and Their Impact on Utility of Genetic Scores for Prediction of Acute Coronary Syndrome

Project: INTERVENE

Updated at: 14-11-2023

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Project acronym INTERVENE

Access to first INTERVENE consortium data sets available from EMBL-EBI and CSC Cloud services

Project: INTERVENE

Updated at: 14-11-2023

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Project acronym INTERVENE

Knowledge-augmented Graph Neural Networks with Concept-aware Attention for Adverse Drug Event Detection

Project: INTERVENE

Updated at: 14-11-2023

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Project acronym INTERVENE

COVID-19: a challenge and an opportunity

Project: INTERVENE

Updated at: 14-11-2023

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Project acronym INTERVENE

Nationwide health, socio-economic and genetic predictors of COVID-19 vaccination status in Finland

Project: INTERVENE

Updated at: 14-11-2023

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Project acronym INTERVENE

A Critical Look at the Consistency of Causal Estimation with Deep Latent Variable Models

Project: INTERVENE

Updated at: 14-11-2023

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Project acronym INTERVENE

Challenges and Opportunities for Developing More Generalizable Polygenic Risk Scores

Project: INTERVENE

Updated at: 14-11-2023

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Project acronym INTERVENE

Advancing our understanding of genetic risk factors and potential personalized strategies for pelvic organ prolapse

Project: INTERVENE

Updated at: 14-11-2023

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Project acronym INTERVENE

Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning

Project: INTERVENE

Updated at: 14-11-2023

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Project acronym INTERVENE

Gain- and Loss-of-Function CFTR Alleles Are Associated with COVID-19 Clinical Outcomes

Project: INTERVENE

Updated at: 14-11-2023

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Project acronym INTERVENE

The human genetic epidemiology of COVID-19

Project: INTERVENE

Updated at: 14-11-2023

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Project acronym INTERVENE

Characterizing personalized effects of family information on disease risk using graph representation learning

Project: INTERVENE

Updated at: 14-11-2023

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Project acronym INTERVENE

Informative Bayesian Neural Network Priors for Weak Signals

Project: INTERVENE

Updated at: 14-11-2023

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Project acronym INTERVENE

INTERVENE consortium AI algorithms supported by CSC HPC environment on synthetic data.

Project: INTERVENE

Updated at: 14-11-2023

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Project acronym INTERVENE

Data coordination centre established

Project: INTERVENE

Updated at: 14-11-2023

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Project acronym INTERVENE

Identifying interpretable gene-biomarker associations with functionally informed kernel-based tests in 190,000 exomes

Project: INTERVENE

Updated at: 14-11-2023

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Project acronym INTERVENE

Host genetic basis of COVID-19: from methodologies to genes

Project: INTERVENE

Updated at: 14-11-2023

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Project acronym INTERVENE

Resources

Selected filters:

Implementation of phenotype harmonization

Access to a biobank data set through implementation of local biobank APIs and cloud resources to support federated conso...

Report of available data resources and plan for data harmonization strategy

Periodic Reporting for period 2 - INTERVENE (International consortium for integrative genomics prediction)

Disease endpoint selection based on available resources and AI based methods

HAPNEST: An efficient tool for generating large-scale genetics datasets from limited training data

Genetic validation of disease endpoints

Integrating transcriptomics, metabolomics, and GWAS helps reveal molecular mechanisms for metabolite levels and disease ...

Estimation of recurrent atherosclerotic cardiovascular event risk in patients with established cardiovascular disease: t...

ANGPTL8 protein-truncating variant associated with lower serum triglycerides and risk of coronary disease.

Integration of questionnaire-based risk factors improves polygenic risk scores for human coronary heart disease and type...

Reducing noisy annotations for depression estimation from facial images

A unified framework for estimating country-specific cumulative incidence for 18 diseases stratified by polygenic risk

Clinical Conditions and Their Impact on Utility of Genetic Scores for Prediction of Acute Coronary Syndrome

Access to first INTERVENE consortium data sets available from EMBL-EBI and CSC Cloud services

Knowledge-augmented Graph Neural Networks with Concept-aware Attention for Adverse Drug Event Detection

COVID-19: a challenge and an opportunity

Nationwide health, socio-economic and genetic predictors of COVID-19 vaccination status in Finland

A Critical Look at the Consistency of Causal Estimation with Deep Latent Variable Models

Challenges and Opportunities for Developing More Generalizable Polygenic Risk Scores

Advancing our understanding of genetic risk factors and potential personalized strategies for pelvic organ prolapse

Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning

Gain- and Loss-of-Function CFTR Alleles Are Associated with COVID-19 Clinical Outcomes

The human genetic epidemiology of COVID-19

Characterizing personalized effects of family information on disease risk using graph representation learning

Informative Bayesian Neural Network Priors for Weak Signals

INTERVENE consortium AI algorithms supported by CSC HPC environment on synthetic data.

Data coordination centre established

Identifying interpretable gene-biomarker associations with functionally informed kernel-based tests in 190,000 exomes

Host genetic basis of COVID-19: from methodologies to genes