Personalized Prediction of Glioma Growth Using Bayesian Inference Introduction Glioblastoma is the most aggressive type of primary brain tumor, characterized by highly invasive tumor cells that spread to surrounding tissues. Conventional medical imaging techniques cannot precisely identify these diffuse tumor boundaries, leading to suboptimal clini...
Numerical Analysis of Rectangular Open-Channel PCF Biosensor Embedded with TiO2-Au-MXene for Brain Tumor Diagnosis Academic Background and Problem Statement In recent years, the development of cost-effective and highly reliable biosensors has become a research hotspot. These sensors aim to detect minute concentrations of analytes and cover a wide a...
Study of Mathematical Models for Tumor Growth – Exploring Glioma Extension Using Longitudinal Magnetic Resonance Imaging A recent article published in the IEEE Transactions on Biomedical Engineering presents a systematic study on the mathematical modeling and growth patterns of gliomas (glioma). This research was conducted by Birkan Tunç, David A. ...
Comparison of Acoustic Patterns and Microbubble Delivery Strategies in Large-Volume Drug Delivery Mediated by Focused Ultrasound for Blood-Brain Barrier Opening Background Diffuse Intrinsic Pontine Glioma (DIPG) is the most common and lethal brainstem tumor in children. Due to the usually intact blood-brain barrier (BBB) in DIPG, drug penetration i...
St. Jude Survivorship Portal: Analysis and Sharing of Large-Scale Clinical and Genomic Data of Pediatric Cancer Survivors Research Background In the United States, the five-year survival rate for childhood cancer has increased from about 60% in the 1970s to over 85% today. Despite the significant improvement in survival rates, these childhood cance...
In the current field of tumor treatment, precision medicine continues to be a research hotspot and development trend. With the advancement of science and technology, we have begun to more accurately understand the characteristics of tumor cells and their dependencies for survival, in hopes of finding new therapeutic targets. Particularly, strategie...
Clinical Validation Study on the Application of Cell-Free DNA Fragment Analysis in Enhancing Early Detection of Lung Cancer Background Lung cancer is one of the leading types of cancer threatening the health of both men and women globally. Over 125,000 people die from lung cancer in the United States each year, and globally, the number is close to ...
Cerebrospinal Fluid Proteomics Study for Diagnosis and Prediction of Alzheimer’s Disease Background and Research Objectives Alzheimer’s disease (AD) is a neurodegenerative disease that leads to memory loss and cognitive decline, and currently, there is no effective cure globally. Traditionally, the pathological features of AD include β-amyloid (Aβ)...
Single-Sample Tumor Subclonal Reconstruction Algorithm Based on Crowd-Sourced Resources Background The evolution of cancer and the genetic heterogeneity of tumors are critical fields in modern oncology research. Tumors evolve from normal cells through progressive acquisition of somatic mutations. These mutations occur probabilistically, influenced ...
Nucleotide Base Adducts Bind MR1 and Stimulate MR1-Restricted T Cells Abstract This article provides an overview of the latest research by Vacchini et al. on MR1-restricted T cells (MR1T cells), which discovered the presence of nucleotide base adducts as MR1T cell antigens and unveiled their metabolic pathways and physiological functions in tumor c...