Cancer

A*STAR researchers develop a deep learning tool to overcome the lack of matched healthy DNA samples when identifying cancer-linked mutations in tumour sequencing data.

Shattering a protein “shield” linked to drug resistance could offer clinicians a new weapon against advanced lung cancers.

A new cellular model of colorectal cancer helps identify high-risk subtypes likely to resist standard treatments and proliferate in response.

A new precision oncology platform taps into machine learning to guide colorectal cancer treatments based on individual genetics.

Targeting a key gene can help prevent the body’s immune fighters from wearing out when attacking tumour cells, offering a new treatment strategy against cancer.

Inspired by natural biomineralisation processes, a novel cancer therapy uses gold nanoparticles to selectively sabotage vital components in cancer cells.

A new machine learning tool could help predict cancer treatment outcomes for more effective and targeted treatments.

High iron levels, often linked to red meat consumption, can fuel cancer growth by reactivating proteins that allow cancer cells to divide endlessly.

A new sensor innovation measures stress inside tissue models to simulate disease conditions like cancer with greater accuracy.

Innovative designer molecules called stapled peptides effectively target and block cancer processes, promising a new therapeutic approach.

As the immune system ages, our susceptibility to conditions such as cancer increases, prompting researchers to develop advanced experimental models to study these pathways.

Researchers find that targeting nerve growth factor in melanomas transforms resistant ‘cold’ tumours into treatable ‘hot’ ones, adding new therapeutic options for challenging skin cancers.