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AI platforms in radiation oncology

A recent perspective, published in Nature Reviews Clinical Oncology, reviews the opportunities and challenges of implementing artificial intelligence (AI) in […]

Early clinical trial data supports amivantamab against a rare lung cancer mutation

Lung cancer is one of the leading causes of cancer death among men and women in the US. One option […]

Data-driven eligibility criteria may make clinical trials more inclusive

Researchers have shown that relaxing the eligibility criteria of clinical trials in a data-driven manner can significantly increase the number […]

Artificial intelligence can identify the most effective targeted therapies for cancer patients

An artificial intelligence-based model has been used to match molecularly targeted agents (MTAs) to individual molecular tumour profiles, in the […]

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 […]

Efficacy-Effectiveness Gap in Immunotherapy Clinical vs. Real-World Data

A recent study published in Scientific Reports aimed to assess how outcomes of immunotherapy in real-world (effectiveness) parallel to outcomes […]

The canSAR Knowledgebase for Drug Discovery

In 2011 researchers, from The Institute of Cancer Research UK, created the largest, public, cancer drug discovery resource, known as […]

Age bands in paediatric medicines

We summarise a recent article, published in BMJ, that explored why certain age bands used for children in paediatric studies […]

Is Machine Learning the Key to Unlocking RWE?

At the Festival of Genomics and Biodata 2021, we were joined by Paul Agapow (Health Informatics Director, AstraZeneca), Victor Neduva […]

Benefits and limitations of RWE

We review a recent study, published in Future Oncology, that discussed the benefits and limitations of real-world evidence (RWE), using […]