Predicting circRNA–Disease Associations with Shared Units and Multi-Channel Attention Mechanisms

Background Introduction In recent years, circular RNAs (circRNAs), as a novel class of non-coding RNA molecules, have played a significant role in the occurrence, development, and treatment of diseases. Due to their unique circular structure, circRNAs are resistant to degradation by nucleases, making them potential biomarkers and therapeutic target...

ACImpute: A Constraint-Enhancing Smooth-Based Approach for Imputing Single-Cell RNA Sequencing Data

Single-cell RNA sequencing (scRNA-seq) technology has been widely applied in biological and medical research in recent years. It can reveal the transcriptomic information of individual cells, helping scientists better understand cellular heterogeneity and complexity. However, a common issue in scRNA-seq data is “dropout events,” which result in man...

APNet: An Explainable Sparse Deep Learning Model to Discover Differentially Active Drivers of Severe COVID-19

Academic Background The COVID-19 pandemic has had a significant impact on global public health systems. Although the pandemic has somewhat subsided, its complex immunopathological mechanisms, long-term sequelae (such as “long COVID”), and the potential for similar threats in the future continue to drive in-depth research. Severe COVID-19 cases are ...

SP-DTI: Subpocket-Informed Transformer for Drug–Target Interaction Prediction

Academic Background Drug-Target Interaction (DTI) prediction is a critical step in drug discovery, significantly reducing the cost and time of experimental screening. However, despite the advancements in deep learning that have improved the accuracy of DTI prediction, existing methods still face two major challenges: lack of generalizability and ne...

Glutamate Dehydrogenase 1-Catalytic Glutaminolysis Feedback Activates EGFR/PI3K/AKT Pathway and Reprograms Glioblastoma Metabolism

Academic Background Glioblastoma (GBM) is one of the most aggressive and heterogeneous central nervous system tumors, with an extremely poor prognosis. Despite the emergence of novel therapies such as anti-angiogenic treatments and immunotherapy in recent years, the survival period of GBM patients remains very limited. GBM cells exhibit unique meta...

EVA1-Antibody Drug Conjugate as a Novel Therapeutic Strategy for Eliminating Glioblastoma-Initiating Cells

Background Introduction Glioblastoma (GBM) is one of the most aggressive brain cancers, with a median survival of approximately 15 months. Despite the use of multimodal treatments including surgery, chemotherapy, and radiotherapy, the overall survival rate of GBM patients has not significantly improved over the past few decades. Recent studies have...

Clinical and Genetic Markers of Vascular Toxicity in Glioblastoma Patients: Insights from NRG Oncology RTOG-0825

Clinical and Genetic Markers of Vascular Toxicity in Glioblastoma Patients: Insights from NRG Oncology RTOG-0825 Academic Background Glioblastoma (GBM) is a highly aggressive form of brain cancer, accounting for nearly 80% of malignant primary brain tumors. Despite standard treatments including surgical resection, radiotherapy, and chemotherapy, th...

Anxiety Disorder Identification with Biomarker Detection through Subspace-Enhanced Hypergraph Neural Network

Anxiety Disorder Identification with Biomarker Detection through Subspace-Enhanced Hypergraph Neural Network

Anxiety Disorder Identification and Biomarker Detection Based on Subspace-Enhanced Hypergraph Neural Network Academic Background Anxiety Disorders (ADs) are prevalent mental health issues globally, affecting approximately 7.3% of the population. Patients with anxiety disorders typically exhibit excessive fear, worry, and related behavioral abnormal...

The Influence of Double Delays in a Diffusive Predator–Prey System: Stability Switching Curves Method

The Influence of Double Delays in a Diffusive Predator-Prey System: A Study Using the Stability Switching Curve Method Academic Background The predator-prey model is one of the fundamental models in ecology for studying population interactions. Although these models may seem simple, they can generate complex dynamic structures and even lead to chao...

Inhibiting Cell Inspection Points Intervention via Injectable Short Fibers for Reversing Neural Cell Senescence

Background Introduction Spinal Cord Injury (SCI) is a significant challenge in the medical field, particularly in terms of neural function recovery. Research indicates that neurons play a crucial role in spinal cord regeneration, but in complex pathological environments, neurons are influenced by various factors, leading to rapid senescence. Senesc...