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Machine learning and Darwin combined to piece together tumour genetics

MOBSTER – model-based clustering in cancer, is a machine learning tool that incorporates theoretical population genetics from Darwin to examine […]

Base editing outcomes predicted by machine learning model

Single nucleotide variants (SNVs) are implicated in about half of all genetic diseases and so, accurately targeting and editing these […]

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 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 […]

TESLA unlocks a new generation of immunotherapy

The international neoantigen initiative Tumour Neoantigen Selection Alliance (TESLA) has identified key parameters for immunotherapy advancement. Neoantigens Somatic alterations are […]

What Can Biomarker Research Learn from Planetary Science?

Making Space for Biomarker Data Clinical research, particularly cancer diagnostics, has seen an explosion in the collection of biomarker data […]