Disease Staging of Alzheimer's Disease Using a CSF-Based Biomarker Model

Research Background and Objectives With over 50 million people worldwide affected by cognitive impairment disorders, this number is expected to double by 2050. Alzheimer’s disease (AD) is the most common form of dementia, characterized by extracellular amyloid-beta (Aβ) plaques and intracellular tau protein aggregates in the brain. Over the past tw...

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...

Critical Observations in Model-Based Diagnosis

In model-based fault diagnosis, the ability to identify the key observational data that leads to system abnormalities is highly valuable. This paper introduces a framework and algorithm for identifying key observational data. The framework determines which observations are crucial for diagnosis by abstracting the raw observational data into “sub-ob...

Circulating Extracellular Vesicles as Biomarker for Diagnosis, Prognosis and Monitoring in Glioblastoma Patients

This academic paper reports a study on exosomes in patients with glioblastoma. The study explored the potential application of exosomes as biomarkers in the diagnosis, prognosis, and treatment response monitoring of glioblastoma. Academic Background: Glioblastoma is an invasive brain tumor, and despite comprehensive treatments such as surgery, chem...