Artificial Intelligence-Based Classification of Breast Lesion from Contrast Enhanced Mammography: A Multicenter Study

Multi-center Study on Artificial Intelligence-based Classification of Breast Lesions In the field of breast cancer, early diagnosis is crucial for improving treatment efficacy and survival rate. Breast cancer can be mainly divided into two categories: in situ carcinoma and invasive carcinoma, which have significant differences in treatment strategi...

Gliomatosis cerebri in children: a poor prognostic phenotype of diffuse gliomas with a distinct molecular profile

Childhood Gliomatosis Cerebri: A Poor Prognosis Phenotype of Diffuse Glioma with Distinct Molecular Characteristics Introduction Gliomatosis cerebri (GC) is a highly invasive form of diffuse glioma. It was initially discarded as an independent pathological type due to its indeterminate molecular characteristics. However, with the advancements in mo...

Raman-Based Machine Learning Platform Reveals Unique Metabolic Differences Between IDHmut and IDHwt Glioma

Study on Metabolic Differences between IDH Mutant and Wild-type Glioma Cells Using Raman Spectroscopy and Machine Learning Platform Background Introduction In the diagnosis and treatment of gliomas, formalin-fixed, paraffin-embedded (FFPE) tissue sections are commonly used. However, due to background noise interference from the embedding medium, th...