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An Overview of AI/ML for CNS Drug Discovery

Due to the complex nature of central nervous system diseases and the presence of the blood-brain barrier (among other factors), […]

AlzGPS: A Genome-Wide Positioning Systems Platform for Alzheimer’s Drug Discovery

Recent DNA/RNA sequencing and other multi-omics technologies have advanced our understanding of the biology and pathophysiology of Alzheimer’s disease. However, […]

Genomics in Drug Discovery & Development

Despite an increase in investment into R&D from biopharma companies, only 5-10% of drugs that enter early-stage clinical trials ever […]

The Promise of AI for Drug-Induced Liver Injury Prediction

Drug-induced liver injury is a common reason for the withdrawal of a drug from the market. Therefore, early assessment of […]

Real-World Effectiveness of Benralizumab for Treatment of Asthma

Since demonstrating efficacy in clinical trials, the monoclonal antibody benralizumab has been licensed for the treatment of severe eosinophilic asthma. […]

Real-world Effectiveness of HIV Treatment

A recent study aimed to evaluate the outcomes of standard-of-care triple therapy versus two-drug treatment for HIV, following the observation […]

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 […]

Murine Viruses in PDX Models: Why Some Cancer Drugs May be Ineffective

Researchers from the University of Texas have used data-driven approaches to identify a possible explanation for why some cancer drugs […]

Standardised Data Structures in Rare Diseases

A recent study published in Clinical and Translational Science has outlined a method to develop standardised data structures based on […]

Biomarkers Linked to Severe COVID-19 Infection

Researchers from the CHUM Research Centre have used data-driven and hypothesis-driven approaches to identify biomarkers that have been linked to […]