A gene called FOXJ1 may drive resistance to taxane chemotherapy during treatment for advanced prostate cancer, according to a new study led by investigators at Weill Cornell Medicine and Beth Israel Deaconess Medical Center. The findings provide important new insights into why patients with metastatic disease often stop responding to a key class of life-prolonging chemotherapy drugs after initially benefiting. Given that taxanes remain the only chemotherapy agents with demonstrated survival benefit in advanced prostate cancer, understanding how and why resistance develops is an urgent need for patients.

JMIR Publications, a leading open-access digital health research publisher, and the University of Turku (UTU) are pleased to announce a new Flat-Fee Unlimited Open Access Publishing Agreement.

A research paper by scientists from Guangzhou University of Chinese Medicine described a framework that leverages bionic, wearable electrocardiogram (ECG) sensor technologies along with multimodal large language models using a coherent temporal modeling effort to address the intertwining of fine-grained temporal dependencies, heterogeneous biomedical modalities, and interpretable risk stratification.

The new research paper, published on Mar. 02 in the journal Cyborg and Bionic Systems, unveiled a first-of-its-kind intelligent cardiovascular monitoring framework that merges bionic wearable ECG technology with multimodal large language models, achieving unprecedented accuracy in early myocardial ischemia detection and post-reperfusion risk stratification.

A research paper by scientists from East China University of Science and Technology, University of Applied Sciences Campus Vienna, and other institutions proposed a domain generalization model (DGIFE) for electroencephalography (EEG) signals, featuring structured feature decoupling and fine-grained data augmentation to address the domain bias challenge in cross-subject brain-computer interface (BCI) applications.

The new research paper, published on Feb. 24 in the journal Cyborg and Bionic Systems, presented the development, validation, and optimization of the DGIFE model, demonstrating its superior generalization performance and noise robustness across multiple public datasets, providing an effective solution for practical BCI deployment.