Spread the loveImagine a future where a cancer diagnosis isn’t a bolt from the blue, but a whisper caught early, giving you ...

What are the benefits and challenges of using multiomics approaches to discover cancer biomarkers? Multiomics means that scientists are measuring more than one class of analyte, such as DNA, RNA, or ...

A research team at Kumamoto University has developed a blood-based approach that could help detect breast cancer recurrence by looking beyond conventional genetic mutations and examining how DNA is ...

Can Small Open-Source Language Models With Retrieval-Augmented Generation Match GPT-4 Performance in Breast Cancer Clinical Decision Support? Accurate classification of microsatellite instability (MSI ...

Lung cancer remains one of the malignancies with the highest incidence and mortality worldwide. Clinical practice has long been plagued by core dilemmas, including insufficient sensitivity in early ...

This review explores how multi-source data-driven machine learning is transforming lung cancer care, from early screening and ...

Startup SpotitEarly is pioneering an innovative early cancer screening test based on breath samples and powered by artificial intelligence and the strong scent detection of trained dogs. SpotitEarly ...

Scientists identify a ‘microbial transmission’ signature — oral bacteria colonizing the gut — that flags gastrointestinal ...

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more personalized vaccines, including vaccines for cancer. They described the tool in ...