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ML-based approach for drug synergy predictions and stratification

Particularly in oncology, combination drug treatments can offer higher patient survival rates and a lower risk of drug resistance than […]

Interview with Anandbir Brar, Chief Executive Officer, Excelra

We recently interviewed Anandbir Brar, Chief Executive Officer of Excelra. Excelra is the lead sponsor for our D4 Global virtual event.  […]

Integration of ML in the diagnosis and treatment of neurodegenerative diseases

A recent Nature review, describes the latest developments in the use of machine learning approaches to interrogate datasets in neurodegenerative […]

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 […]

How to integrate multi-omic data

With the advent of high-throughput techniques, we have a greater capability than ever before to study a diverse range of […]

Could Translational Precision Medicine be the modern approach to drug discovery and development?

A recent study has explored the concept of a modern and collaborative approach to data-driven drug development called Translational Precision […]

DRUML: Using ML to Rank Cancer Drugs in Order of Efficacy

Researchers at Queen Mary University of London have developed a machine learning algorithm – DRUML – that ranks drugs based […]

Promises and pitfalls of precision medicine clinical trials, now and in the future

Availiable on demand here As we move towards an ever more personalised healthcare system, genomics is at the heart of […]

BioInfi: Build and optimise a biotech portfolio: Target selection and disease indications

Pankaj Agarwal, Computational Biologist at BioInfi, shared in his D4 USA presentation in October last year how to build and […]