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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 […]

A New Deep Learning Tool to Translate Mass Spectra into Peptide Sequences

High-throughput proteomics techniques such as mass spectrometry have the capacity to dramatically change the field as we know it. With […]

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 […]

Genomics in Drug Discovery ONLINE

On average, it takes 10.5 years for a Phase I drug to progress to regulatory approval and only ~8% of […]

The State Of: Proteomics

Proteomics is the study of the entire set of proteins (known as the proteome) produced by a cell, tissue or […]