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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 […]

Discovery of Candidate Antibody-Drug Conjugate Targets

A recent study used the Human Protein Atlas as a unique big data resource to identify and prioritise candidate antibody-drug […]

Modelling SARS-CoV-2 infection dynamics and treatment efficacy

Researchers have developed a mathematical model to simulate SARS-CoV-2 infection dynamics within hosts and the action of potential antiviral treatments. […]

Neural networks for predicting bioactivity descriptors

A research group at the Institute for Research in Biomedicine (IRB) in Barcelona has developed a machine-learning tool that uses […]

A novel computer system can help inform future therapies for patients with inherited cardiovascular disease

Researchers from around the world have collaborated to develop a genomic computer system to show how some genetic mutations can […]

Emerging AI/ML Technologies for Drug Discovery

It is widely known that the traditional drug discovery and development process is extremely time-consuming, expensive and challenging; taking an […]

Network Link Prediction in Drug Discovery

A recent study carried out a comparative evaluation of network-based machine learning algorithms for network link prediction in the application […]

The IRIS Study Using Real-Word Breast Cancer Data

Researchers have conducted a multi-country Iberance Real World Insights (IRIS) study, which aims to provide country-specific real-world data that can […]

MEDUSA: AI Used in Battle Against Mesothelioma

International genomics research, led by the University of Leicester, has used an artificial intelligence model – MEDUSA – to study […]

In Vitro Drug Response Modelling for Drug Discovery

Patient datasets often contain a plethora of ‘-omics’ data, but the corresponding drug response information is limited and not suitable […]