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AI and Machine Learning are at the heart of future healthcare.

We live in a world that is being run by data, an immense amount of data. Today, we can collect […]

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 […]

Proteomics ONLINE

Thursday 14th, 21st and 27th September at 3pm BST/ 4pm CET/ 10am EST  Advances in high-throughput proteomic technologies are accelerating […]

AI can accurately detect Parkinson’s disease and define its subtypes

Parkinson’s disease is a clinically heterogenous neurodegenerative disorder, meaning that it is likely that different cellular mechanisms drive its pathology […]

Genomics Week in Brief: Week ending 12th August

Check out the latest Genomics Week In Brief – full of intriguing news and research from the genomics space! Top […]