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 […]
AI Cures, the newly-conceived contribution of MIT J-Clinic to COVID-19 research, aims to develop machine learning methods to discover antiviral […]
Last October, at D4 USA, Gerald Sun, Senior Data Scientist, AstraZeneca, demonstrated how to get more out of convolutional neural […]
We know from twin studies that Schizophrenia carries a 80% heritability risk, but haven’t yet managed to deduce exact genetic […]
The cost of drug R&D has increased by ten-fold in the last 30 years, but the success rate of candidate […]
