The Hong Kong University of Science and Technology (HKUST) announced today that  its School of Engineering researchers have developed Mixture of Modality Experts (MOME), a groundbreaking large artificial intelligence (AI) model for non-invasive breast cancer diagnosis. Trained on the China’s largest multiparametric MRI (mpMRI) breast cancer dataset, MOME achieves expert-level accuracy in classifying tumor malignancy, comparable to that of radiologists with five+years of experience. This innovative solution is now undergoing extensive clinical validation across more than ten hospitals and partner institutions, including Shenzhen People’s Hospital, the Guangzhou First Municipal People's Hospital, and Yunnan Cancer Center, to validate its effectiveness and ensure real-world applicability.

A KAIST research team has developed an innovative technology capable of vividly displaying the 3D structure of cancer tissues without separate staining.

Dysregulation of non-coding RNAs (ncRNAs) promotes pancreatic cancer growth, metastasis, treatment resistance, and cancer stemness. To shed light on the mechanisms behind their dysregulation, researchers from China, conducted a scientific review that summarizes how ncRNAs are involved in pancreatic cancer progression. Their study highlights that ncRNAs can act as scaffolds, promoting protein-protein/nucleotide interactions, as protein sponges that limit protein interactions, and by translocating proteins to various subcellular compartments.

Acute myeloid leukemia (AML) remains one of the most aggressive and deadly forms of blood cancer, even as treatments have advanced in recent years. Standard approaches like high-dose chemotherapy and bone marrow transplants can extend life but often come at the cost of severe side effects — and many patients still relapse due to drug-resistant cancer cells. A research team led by Natasha Kirienko at Rice University is working to change that by turning the cancer cells’ own energy systems against them.

GPT-generated educational materials for urological cancer patients, translated by AI into five languages, are rated by doctors as easier to read than human-authored versions while being just as clear, accurate and complete

A new study highlights a surprising lens for tracking pollution trends over centuries: preserved plants and animals housed at natural history museums around the world. According to Shane DuBay, a researcher at The University of Texas at Arlington, these specimens contain valuable environmental data that can help scientists reconstruct pollution trends spanning more than 200 years.

A new University of British Columbia-led study is shedding light on a long-overlooked consequence of colorectal cancer: the lasting toll it can take on women’s sexual health, even years after treatment ends.