Synopsis of recent research by authors named "Xinhua Wei"
- Xinhua Wei's recent research focuses predominantly on the application of advanced imaging techniques and machine learning methods to improve the diagnosis and treatment of various cancers, particularly hepatocellular carcinoma (HCC) and breast cancer, utilizing multiphasic CT and MRI-based radiomics.
- Key findings indicate that representation learning-based approaches and nomograms significantly enhance the identification and detection of aggressive cancer subtypes, aiding in early diagnosis and potentially improving treatment outcomes for high-risk patients.
- Additionally, Wei's work extends beyond oncology, investigating innovations such as noninvasive techniques for detecting metabolic changes in ischemic stroke and the mechanisms underlying structural connectivity in neurodegenerative diseases, with implications for patient management and therapeutic strategies.
