Study of Neuroepithelial Genetic Markers and Prognosis in High-Grade Gliomas Background and Research Motivation High-grade gliomas are highly malignant brain tumors with generally poor patient prognosis. Previous preclinical model studies have suggested that interactions between neural and tumor cells drive tumor growth, but clinical validation of ...
Alzheimer’s Disease Research and Treatment Frontiers: Beta/Theta Power Ratio in EEG Periodic Components as a Potential Biomarker Background Introduction Alzheimer’s dementia (AD) is a progressively developing disease, accounting for 60% to 80% of all dementia cases [1]. In the early stages of AD, mild cognitive impairment (MCI) typically occurs, du...
Study on Theta Oscillations in Hippocampus-Prefrontal Interaction Supporting Sequential Working Memory Academic Background The dorsolateral prefrontal cortex (DLPFC) and the hippocampus play crucial roles in sequential working memory, but the specific interaction mechanisms are not yet clear. Previous studies have shown that these two brain regions...
Enhancement of Theta and Alpha Oscillations Prior to Crossmodal Memory Encoding Background Episodic memory is a crucial component of human memory, with one of its core mechanisms being the formation of associations through stimuli from different sensory channels. Current theories suggest that during crossmodal associative encoding, the phase and po...
Research on Drug-Disease Association Prediction Using Graph Contrastive Learning Based on Layered Negative Sampling The prediction of drug-disease associations (RDAs) plays a critical role in unveiling disease treatment strategies and promoting drug repurposing. However, existing methods mainly rely on limited domain-specific knowledge when predict...
Predicting Drug-Target Affinity Based on Learning Protein Knowledge from Biological Networks Background The prediction of drug-target affinity (DTA) plays a crucial role in drug discovery. Efficient and accurate DTA prediction can significantly reduce the time and economic costs of new drug development. In recent years, the explosive development of...
Application of Knowledge-Enhanced Graph Topic Transformer in Interpretable Biomedical Text Summarization Research Background Due to the continuous increase in the volume of biomedical literature, the task of automatic biomedical text summarization has become increasingly important. In 2021 alone, 1,767,637 articles were published in the PubMed data...
This paper is a study on the phenotypic associations and neurobiological bases of single-subject morphological brain networks. Combining multimodal and multiscale data, this study reveals the differences in morphological brain networks between genders, their potential as individual-specific markers, and their relationships with gene expression, lay...
The Mechanism of Action of Specific Reprogramming of Histone H3 Lysine 9 Acetylation (H3K9ac) in the Progression and Metastasis of Esophageal Squamous Cell Carcinoma (ESCC) Background Esophageal cancer is one of the most prevalent and invasive malignant tumors globally, causing over 500,000 cancer-related deaths annually, ranking sixth among cancer...
The research team consisting of Guilan Shi, Jody Synowiec, Julie Singh, and Richard Heller published a paper titled “Modification of the tumor microenvironment enhances immunity with plasmid gene therapy” in Cancer Gene Therapy. The background of the study stems from current challenges in the field of tumor immunotherapy, such as tumor cells evadin...