The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

Understanding and predicting complex physical systems remain significant challenges in scientific research and engineering. Machine learning models, while powerful, often fail to follow the ...

Cancer Research has advanced during the past few years. Using high throughput technology and advances in artificial intelligence, it is now possible to improve cancer diagnosis and targeted therapy, ...

During the treatment process, cancer patients often experience a decline in balance ability due to various reasons such as surgery, which increases the risk of falls and poses a serious threat to ...

Overall, this study provides deeper insight into the use of machine learning, feature selection, and other relevant quantitative approaches to advance ovarian cancer diagnosis to improve patient ...

MIT researchers developed SEAL, a framework that lets language models continuously learn new knowledge and tasks.