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Bioengineering in organoid technology

We summarise a recent review article, published in Nature Materials, that has underlined the need to provide engineering solutions to […]

Controlling gene expression with computer-inspired protein gates

Researchers, led by a team at the University of Washington, have designed tools to regulate protein-protein interactions, akin to the […]

The Tri-Omics Summit USA

Front Line Genomics is pleased to announce the first Tri-Omics Summit in Boston, MA on September 27th – 29th 2022. […]

Deep neural networks for cancer diagnosis and predicting treatment outcomes

Researchers have carried out a study investigating whether deep neural networks can represent associations between gene expression, histology and medical […]

New Model to Reduce AI Bias in Drug Development

We summarize a recent study, published in Communications Biology, that outlines a new framework to audit and reduce AI bias […]

AI in cancer drug discovery

A recent review, published in Mathematical Biosciences and Engineering, has explored the current standing of computational modelling and machine learning […]

Researchers create functional intestinal organoids

A group led by Matthias Lütolf, PhD, Professor at EPFL’s Institute of Bioengineering, have developed a concept to guide stem […]

Machine learning technical debt: The old and the new

Back in 2015, at the time of its publication, the Hidden Technical Debt in Machine Learning Systems paper was mostly overlooked, […]