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Using machine learning to model the fitness of cancer cells and predict drug resistance

Recently, researchers have developed a machine learning approach that can predict the fitness trajectories of cancer cells in response to […]

Machine learning used to study the progression of metastatic prostate cancer (mCRPC)

Recently, researchers have used machine learning algorithms to investigate genomic alterations associated with metastatic prostate cancer (mCRPC), in the hope […]

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), […]

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 […]

Identifying the Bioactive Compounds in Ginger for Treatment in Colon Cancer

An article, published in BioData Mining, aimed to identify the bioactive compounds in ginger as a treatment for colon cancer […]

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 […]

Bayesian Machine Learning Strategy Identifies Anti-Schistosomal Small Molecules

Recent research has identified anti-schistosomal small molecules based on a Bayesian machine learning strategy for drug discovery. Schistosomiasis Schistosomiasis is […]

Omics in early drug development

We summarise a recent review, published in Frontiers in Microbiology, that explored how modern -omics technologies can facilitate the drug […]

Obesity drug cuts weight

A large-scale international trial of a drug for obesity has been hailed as a potential game changer for improving the […]