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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 […]

Bioengineering in organoid technology

We summarise a recent review article, published in Nature Materials, that has underlined the need to provide engineering solutions to […]

Drug repurposing for triple-negative breast cancer

We summarise a recent review, published in J. Pers. Med., that explored relevant research aimed at repurposing pre-existing drugs to […]

Cancer-on-a-chip developed to assess chemotherapy-associated toxicity

Researchers have developed a dual-organ system on a chip to measure cardiac toxicity arising from breast cancer chemotherapy. Breast cancer […]

Researchers create functional intestinal organoids

A group led by Matthias Lütolf, PhD, Professor at EPFL’s Institute of Bioengineering, have developed a concept to guide stem […]

Digital health solutions

A recent perspective, published in npj Digital Medicine, explores digital health solutions and the current challenges in undertaking digital health […]

Foundations for AI are “Critical” to our Continued Success – Interview with Dr Paul Agapow, AstraZeneca

FLG: Could you introduce yourself and the work you do? I am currently a Health Informatics Director at AstraZeneca. I […]

Interview with Dr Rona Strawbridge, UKRI Innovation

Dr Rona Strawbridge has been using genetics to try to understand complex diseases, who’s work has focused much on obesity, type 2 diabetes and cardiovascular disease, and more recently serious mental illness. We managed to have a chat with Rona ahead of her speaking at the Festival of Genomics about her work and why she’s excited to be speaking at the festival this year.

Cancer driving mutations identified using machine learning

Researchers from The Biomedical Genomics Laboratory at IRB Barcelona have developed a computational tool that identifies cancer driving mutations for […]

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 […]