We summarise a recent study, published as preprint in medrxiv, that explored the hypothesis that a data-driven analysis of a […]
Researchers have developed a machine-learning (ML) framework to identify robust drug biomarkers and thereby, predict anti-cancer drug efficacy. Biomarker identification […]
A team of researchers have developed a machine learning (ML)-based algorithm to analyse electronic health record (EHR) data and reliably […]
Here, we summarise a chapter in Artificial Intelligence in Oncology Drug Discovery and Development, which explored the role of electronic […]
Researchers have combined structural and functional magnetic resonance imaging (MRI) with machine learning (ML) techniques to aid in accurately identifying […]
A recent Nature review, describes the latest developments in the use of machine learning approaches to interrogate datasets in neurodegenerative […]
Particularly in oncology, combination drug treatments can offer higher patient survival rates and a lower risk of drug resistance than […]
The van der Schaar lab has announced the release of their alpha version of clairvoyance, an autoML complete package for […]
Immunai, a biotech start-up founded by MIT, Harvard and Stanford researchers, has emerged from stealth mode with $20 million in […]
Caleb Kaiser, writing for Towards Data Science, shares his experience of trying – and failing – to build an end-to-end […]
