Integrating multiple machine learning methods to construct glutamine metabolism-related signatures in lung adenocarcinoma

P Zhang, S Pei, L Wu, Z **a, Q Wang… - Frontiers in …, 2023 - frontiersin.org
Background Glutamine metabolism (GM) is known to play a critical role in cancer
development, including in lung adenocarcinoma (LUAD), although the exact contribution of …

Interaction, immune infiltration characteristics and prognostic modeling of efferocytosis-related subtypes in glioblastoma

S Zhao, Q Wang, Y Liu, P Zhang, W Ji, J **e… - BMC Medical …, 2023 - Springer
Background Efferocytosis is a biological process in which phagocytes remove apoptotic
cells and vesicles from tissues. This process is initiated by the release of inflammatory …

Precision unveiled: Synergistic genomic landscapes in breast cancer—Integrating single‐cell analysis and decoding drug toxicity for elite prognostication and tailored …

C Jiang, S Zhang, L Jiang, Z Chen… - Environmental …, 2024 - Wiley Online Library
Background Globally, breast cancer, with diverse subtypes and prognoses, necessitates
tailored therapies for enhanced survival rates. A key focus is glutamine metabolism …

Novel prognostic features and personalized treatment strategies for mitochondria-related genes in glioma patients

J Wu, J Zhou, Y Chai, C Qin, Y Cai, D Xu… - Frontiers in …, 2023 - frontiersin.org
Background Gliomas are the most common intracranial nervous system tumours that are
highly malignant and aggressive, and mitochondria are an important marker of metabolic …

[HTML][HTML] Identification of crucial genes through WGCNA in the progression of gastric cancer

R Liu, J Liu, Q Cao, Y Chu, H Chi, J Zhang, J Fu… - Journal of …, 2024 - ncbi.nlm.nih.gov
Background: To explore the hub gene closely related to the progression of gastric cancer
(GC), so as to provide a theoretical basis for revealing the therapeutic mechanism of GC …

[HTML][HTML] Intelligence algorithm for the treatment of gastrointestinal diseases based on immune monitoring and neuroscience: A revolutionary tool for translational …

L Li, X Qin, G Wang, S Li, X Li, L Guo, J Santos… - Alexandria Engineering …, 2025 - Elsevier
The research team has developed an information system based on clinical blood cell
analysis and designed and implemented highly innovative algorithms. A neural network …

Unravelling infiltrating T‐cell heterogeneity in kidney renal clear cell carcinoma: Integrative single‐cell and spatial transcriptomic profiling

H Chen, H Zuo, J Huang, J Liu, L Jiang… - Journal of Cellular …, 2024 - Wiley Online Library
Kidney renal clear cell carcinoma (KIRC) pathogenesis intricately involves immune system
dynamics, particularly the role of T cells within the tumour microenvironment. Through a …

[HTML][HTML] Development and validation of prognostic nomograms for overall survival in patients with locally advanced colorectal cancer

H Nie, J Zhang, Y Ai, A Chen, Y Li, L Zhang - Alexandria Engineering …, 2024 - Elsevier
Background Many colorectal cancer (CRC) patients are initially diagnosed at an advanced
stage. Some evidence indicating that TNM staging may not be entirely reliable in forecasting …

Simulator for Swarm Feature Selection Algorithms for Classification Problem

MD Kulkarni, M Shahade, S Deore… - … in Technology and …, 2024 - ieeexplore.ieee.org
Swarm Intelligence (SI) algorithms address difficult optimization and decision-making issues
using cues from collective behavior. These behaviors are inspired by social creatures like …