Using machine learning methods to predict bone metastases in breast infiltrating ductal carcinoma patients

WC Liu, MX Li, SN Wu, WL Tong, AA Li… - Frontiers in public …, 2022 - frontiersin.org
Breast cancer (BC) was the most common malignant tumor in women, and breast infiltrating
ductal carcinoma (IDC) accounted for about 80% of all BC cases. BC patients who had bone …

Identification of copper death-associated molecular clusters and immunological profiles for lumbar disc herniation based on the machine learning

H Xu, Y Jiang, Y Wen, Q Liu, HG Du, X Jin - Scientific Reports, 2024 - nature.com
Lumbar disc herniation (LDH) is a common clinical spinal disorder, yet its etiology remains
unclear. We aimed to explore the role of cuproptosis-related genes (CRGs) and identify …

Identification of copper death-associated molecular clusters and immunological profiles in rheumatoid arthritis

Y Zhou, X Li, L Ng, Q Zhao, W Guo, J Hu… - Frontiers in …, 2023 - frontiersin.org
Objective An analysis of the relationship between rheumatoid arthritis (RA) and copper
death-related genes (CRG) was explored based on the GEO dataset. Methods Based on the …

LASSO-based machine learning models for the prediction of central lymph node metastasis in clinically negative patients with papillary thyroid carcinoma

JW Feng, J Ye, GF Qi, LZ Hong, F Wang… - Frontiers in …, 2022 - frontiersin.org
Background The presence of central lymph node metastasis (CLNM) is crucial for surgical
decision-making in clinical N0 (cN0) papillary thyroid carcinoma (PTC) patients. We aimed …

Pan-cancer analysis reveals interleukin-17 family members as biomarkers in the prediction for immune checkpoint inhibitor curative effect

X Han, J Ye, R Huang, Y Li, J Liu, T Meng… - Frontiers in …, 2022 - frontiersin.org
Background The interleukin-17 (IL-17) family contains six homologous genes, IL-17A to IL-
17F. Growing evidence indicates that dysregulated IL-17 family members act as major …

Analysis of cuproptosis-related genes in Ulcerative colitis and immunological characterization based on machine learning

Z Wang, Y Wang, J Yan, Y Wei, Y Zhang… - Frontiers in …, 2023 - frontiersin.org
Cuproptosis is a novel form of cell death, mediated by protein lipid acylation and highly
associated with mitochondrial metabolism, which is regulated in the cell. Ulcerative colitis …

Development and validation of an artificial intelligence model for predicting de novo distant bone metastasis in breast cancer: a dual-center study

W Zhang, Y Tan, Z Huang, Q Tan, Y Zhang, C Wei - BMC Women's Health, 2024 - Springer
Objective Breast cancer has become the most prevalent malignant tumor in women, and the
occurrence of distant metastasis signifies a poor prognosis. Utilizing predictive models to …

[HTML][HTML] Innovation Business Model: Adoption of Blockchain Technology and Big Data Analytics

KNY Magableh, S Kannan, AYR Hmoud - Sustainability, 2024 - mdpi.com
Blockchain technology (BC) and big data analytics capability (BDAC) are two crucial
emerging technologies that have attracted significant attention from businesses and …

Significance of ZEB2 in the immune microenvironment of colon cancer

H Xie, Z Wu, Z Li, Y Huang, J Zou, H Zhou - Frontiers in genetics, 2022 - frontiersin.org
Background: ZEB2 is a protein-coding gene that is differentially expressed in tumors and
can regulate the growth of tumor cells. This study investigated the specific regulatory …

Machine learning‑based radiomics models accurately predict Crohn's disease‑related anorectal cancer

Y Horio, J Ikeda, K Matsumoto, S Okada… - Oncology …, 2024 - spandidos-publications.com
The radiological diagnosis of Crohn's disease (CD)-related anorectal cancer is difficult; it is
often found in advanced stages and has a poor prognosis because of the difficulty of …