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Predicting Cancer Risk On Basis Of National Health Data

Predicting Cancer Risk On Basis Of National Health Data
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United kingdomAlexander jungMoritz gerstungKaren arnottResearch group leaderNovo nordisk foundationEuropean bioinformatics instituteUniversity of copenhagenDivision headDanish innovation foundationLancet digital healthGerman cancer research centerBioinformatics instituteLancet digitalUnited kingdom biobankVisiting research group leader

Scientists predict cancer risk on the basis of national health data

Scientists from EMBL s European Bioinformatics Institute (EMBL-EBI) and the German Cancer Research Center (DKFZ) have used Danish health registries to predict individual risks for the 20 most common types of cancer.

Karen arnottAlexanderw jungMoritz gerstungAlexander jungGerman cancer research centerEuropean bioinformatics instituteUniversity of copenhagenLancet digital healthResearch group leaderDivision headBioinformatics instituteLancet digitalUnited kingdom biobankVisiting research group leaderPostdoctoral researcher

AI Annotations Increase Patent Data In SureCheMBL

AI Annotations Increase Patent Data In SureCheMBL
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Karen arnott

ProteomicsML Boosts Proteomics Research with AI

ProteomicsML Boosts Proteomics Research with AI
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Juan antonio vizcainoKaren arnottEuropean bioinformatics instituteTeam leaderBioinformatics institute

Global Biodiversity Portal Boosts Worldwide Research

Global Biodiversity Portal Boosts Worldwide Research
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Josipa bilic zimmermannKaren arnottPeter harrisonCamila mazzoniMark blaxterWellcome sanger instituteGroup leaderGenome analysis team leaderEuropean bioinformatics instituteProgramme lead for tree of lifeWildlife research berlinPlanetary biology programLeibniz institute for zooSenior group leaderGlobal biodiversity dataGlobal biodiversity portal