Current applications of machine learning for spinal cord tumors

K Katsos, SE Johnson, S Ibrahim, M Bydon - Life, 2023 - mdpi.com
Spinal cord tumors constitute a diverse group of rare neoplasms associated with significant
mortality and morbidity that pose unique clinical and surgical challenges. Diagnostic …

State-of-the-Art and New Treatment Approaches for Spinal Cord Tumors

C Kumawat, T Takahashi, I Date, Y Tomita, M Tanaka… - Cancers, 2024 - mdpi.com
Simple Summary Spinal cord tumors encompass a diverse range of rare neoplasms
originating from tissues in and around the spinal canal. Traditional treatment modalities like …

Computational model for disease research

X Chen, L Huang - Briefings in Bioinformatics, 2023 - academic.oup.com
Computational analysis of vast public and private omics data [1–5] generated by high-
throughput technologies [6, 7] aids in deciphering complex mechanisms [8–11] and relevant …

Pan‐Cancer Single‐Cell and Spatial‐Resolved Profiling Reveals the Immunosuppressive Role of APOE+ Macrophages in Immune Checkpoint Inhibitor Therapy

C Liu, J Xie, B Lin, W Tian, Y Wu, S Xin… - Advanced …, 2024 - Wiley Online Library
The heterogeneity of macrophages influences the response to immune checkpoint inhibitor
(ICI) therapy. However, few studies explore the impact of APOE+ macrophages on ICI …

MutBLESS: A tool to identify disease-prone sites in cancer using deep learning

M Pandey, MM Gromiha - Biochimica et Biophysica Acta (BBA)-Molecular …, 2023 - Elsevier
Understanding the molecular basis and impact of mutations at different stages of cancer are
long-standing challenges in cancer biology. Identification of driver mutations from …

InDEP: an interpretable machine learning approach to predict cancer driver genes from multi-omics data

H Yang, Y Liu, Y Yang, D Li… - Briefings in Bioinformatics, 2023 - academic.oup.com
Cancer driver genes are critical in driving tumor cell growth, and precisely identifying these
genes is crucial in advancing our understanding of cancer pathogenesis and developing …

CarbDisMut: database on neutral and disease-causing mutations in human carbohydrate-binding proteins

NRS Shanmugam, A Kulandaisamy, K Veluraja… - …, 2024 - academic.oup.com
Protein-carbohydrate interactions are involved in several cellular and biological functions.
Integrating structure and function of carbohydrate-binding proteins with disease-causing …

Discovering pathway biomarkers of hepatocellular carcinoma occurrence and development by dynamic network entropy analysis

C Shen, Y Cao, G Qi, J Huang, ZP Liu - Gene, 2023 - Elsevier
Objective Gene expression profiling techniques measure the transcription of thousands of
genes in a parallel manner. With more and more hepatocellular carcinoma (HCC) …

Loss of PTPRS elicits potent metastatic capability and resistance to temozolomide in glioblastoma

Y Zhang, L Chang, P Huang, M Cao… - Molecular …, 2024 - Wiley Online Library
Glioblastoma (GBM) is the most aggressive brain tumor type with worse clinical outcome
due to the hallmarks of strong invasiveness, high rate of recurrence, and therapeutic …

From Code to Cure: The Impact of Artificial Intelligence in Biomedical Applications

MM Gromiha, P Preethi, M Pandey - BioMedInformatics, 2024 - mdpi.com
Artificial intelligence (AI), a branch of computer science, involves developing intelligent
computer programs to mimic human intelligence and automate various processes. AI has …