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New study uses machine learning and RNA-seq to identify cancer-causing gene fusions in glioblastoma

Written by Miyako Rogers, Science Writer A new study, published in Nature, has identified gene fusions with oncogenic potential in […]

Are we heading for a Machine Learning crisis?

Written by Miyako Rogers, Science Writer Machine learning is being increasingly used in research, but a recent article describes how […]

New biomarkers predicting COVID-19 severity discovered with multi-omics and machine learning

New multi-omics research has discovered biomarkers that can predict COVID-19 severity in patients. The study, published in The Lancet, coupled […]

Towards Better Use of Machine Learning Models for Genomic Data

Written by Charlotte Harrison, Science Writer  A paper in BMC Bioinformatics has tested the applicability of machine learning methods to […]

Potential Pitfalls of Applying Machine Learning in Genomics Research

Written by Vered Smith, Science Writer  A recent review has detailed five common pitfalls that occur when applying machine learning […]

Machine learning uncovers tumorigenic mutations

Identifying whether specific mutations in cancer genes have an impact on tumour formation is a largely unsolved problem in the […]

FAIR data applied to AI & machine learning

The FAIR principles should be applied to both human- and machine-driven activities. Humans have an understanding of the meaning of […]

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 […]