Study on the Role of Machine Learning-Assisted Quantitative Hyperspectral Imaging in Brain Tumor Resection Background Introduction Complete resection of malignant gliomas has always been challenged by the difficulty of distinguishing tumor cells in invasive regions. The background of this study is: In neurosurgery, the application of 5-aminolevulin...

The Relationship Between Mask Effectiveness and Population Coverage Rates Background and Research Motivation During the COVID-19 pandemic, non-pharmaceutical interventions (NPIs) such as social distancing, mask-wearing, and test-trace-isolate strategies were widely applied to control the spread of the virus. Despite a large body of empirical resear...

Breakthrough in Automated Echocardiogram Diagnosis via Deep Learning: A Comparative Study of Self-Supervised Learning Methods Research Background With the rapid development of artificial intelligence and machine learning technologies, their role in medical imaging diagnosis is becoming increasingly significant. In particular, Self-Supervised Learni...

How to Reduce the Expectations and Demand for Antibiotics in the Face of the Threat of a “Post-Antibiotic Era” Introduction Antibiotic resistance is becoming a global public health threat. Although the evolution of this resistance is a biological process, human behavior, especially unnecessary antibiotic use in agricultural production and human med...

Research on a Unified Metagenomic Method for Rapid Detection of Microorganisms in Clinical Samples Background Introduction The background of this research is based on the current limitations of clinical metagenomics. Clinical metagenomics involves genome sequencing of all microorganisms in clinical samples, ideally performed after depleting human D...

Mapping Multimorbidity Progression Among 190 Diseases Background Globally, with the aging population and the significant increase in the negative impacts of chronic diseases, multimorbidity, the coexistence of multiple long-term conditions, has become an increasingly severe health challenge. Understanding the accumulation process of multimorbidity ...