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gerstung

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7 September 2020 Human silhouette showing internal organs including oesophagus and stomach. Circle with DNA bases A,T, C and G superimposed.

Genome sequencing accelerates cancer detection

Science & Technology The Gerstung Group at EMBL-EBI and collaborators have developed a statistical model that analyses genomic data to predict whether a patient has a high or low risk of developing oesophageal cancer.

2020

sciencescience-technology

27 July 2020 Mosaic of microscopy images of tumour, forming two broken DNA molecules

Artificial intelligence finds patterns of mutations and survival in tumour images

Science & Technology Researchers have developed an artificial intelligence algorithm that uses computer vision to analyse tissue samples from cancer patients. The algorithm can distinguish between healthy and cancerous tissues, and can also identify patterns DNA and RNA changes in tumours.

2020

sciencescience-technology

5 February 2020

The Pan-Cancer project

Science & Technology EMBL co-leads most comprehensive study of genetic causes of cancer

2020

sciencescience-technology

5 February 2020

Cancer mutations occur decades before diagnosis

Science & Technology Researchers at EMBL’s European Bioinformatics Institute (EMBL-EBI) and the Francis Crick Institute have analysed the whole genomes of over 2600 tumours from 38 different cancer types to determine the chronology of genomic changes during cancer development.

2020

sciencescience-technology

3 September 2015 Moritz Gerstung

Welcome: Moritz Gerstung

Lab MattersPeople & Perspectives New group explores why patients with same cancer exhibit unique constellations of genetic mutations.

2015

lab-matterspeople-perspectives

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