A Numerical Analysis of Rectangular Open Channel Embedded TiO2-Au-MXene Employed PCF Biosensor for Brain Tumor Diagnosis

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...

Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients

Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients

Globally, the most common and deadly malignant brain tumor is glioblastoma (Glioblastoma, GBM). In recent years, research has continuously attempted to predict the overall survival time (OS) of GBM patients using machine learning techniques based on preoperative single-modality or multi-modality imaging phenotypes. Although these machine learning m...

Identification of Clonal Hematopoiesis Driver Mutations Through In Silico Saturation Mutagenesis

Introduction In the process of healthy hematopoiesis, a group of hematopoietic stem cells (HSC) contribute to all blood-related lineages. However, as we age, this process often leads to clonal hematopoiesis (CH), meaning the expansion of clones originating from a particular HSC, which then occupies a significant portion of blood cells and platelets...

Identifying behaviour-related and physiological risk factors for suicide attempts in the UK Biobank

Research Background: Suicide is a global public health challenge, but there is still significant uncertainty regarding the relationship between behavioral and physiological factors and suicide attempts (SA). Previous studies often focus on limited hypothesized factors such as mental illnesses (e.g., depression), personality and psychological traits...

Crowd-sourced Benchmarking of Single-sample Tumor Subclonal Reconstruction

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 ...

A GRU-CNN Model for Auditory Attention Detection using Microstate and Recurrence Quantification Analysis

Overview and Report: Application of GRU-CNN Model Based on Microstate and Recurrence Quantification Analysis in Auditory Attention Detection Background and Research Motivation Attention, as a cognitive ability, plays a crucial role in the perception process, helping humans to focus on specific objects while ignoring other distractions in a complex ...