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Machine learning identifies epigenetic markers of Schizophrenia

We know from twin studies that Schizophrenia carries a 80% heritability risk, but haven’t yet managed to deduce exact genetic […]

FoG 2020 Presentation Michael Barnes, QMUL: RNA Sequencing and Machine Learning as Molecular Scalpels

Professor of Bioinformatics, Director, the Centre for Translational Bioinformatics, William Harvey Research Institute, Queen Mary University of London Co-Investigator, Health […]

FoG Presentation 2020 Dennis Wang, University of Sheffield: Looking beyond the hype: Applied AI and machine learning in translational medicine

Dennis graduated from the University of British Columbia (Vancouver, Canada) with a BSc in Computer Science, Microbiology and Immunology. He […]

Deep learning model identifies patients with mental disorders

A new study, published in the journal Molecular Psychiatry, has developed a deep learning model that is able to genetically […]

Deep learning in melanoma mutational screening

A recent study has explored the role of deep learning as a tool for rapid mutational screening in melanoma. Detecting […]

Deep learning in genomics – are we there yet?

As genomic sequencing becomes more routine, handling the sheer volume of data being produced is causing major issues. We must […]

Genetic biomarker profile defined for hard-to-diagnose Lyme disease

Lyme disease is often undiagnosed or misdiagnosed – here we report that there may finally be a genetic biomarker profile […]

Proteomics ONLINE

Proteomics is set to play a huge role in the post-genomic era – especially in the context of drug discovery. […]

World of Genomics: Kenya

For the latest edition of our World of Genomics series, we head over to Kenya. Famous for its scenic landscapes […]

A Spotlight On: Single-cell and Spatial – Miao-Ping Chien

Miao-Ping Chien, Principal Investigator, Department of Molecular Genetics, Erasmus University Medical Center, joins us to discuss microscopy-based functional and spatial […]