AI Medical Compendium Journal:
Apoptosis : an international journal on programmed cell death

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Integrating single-cell sequencing and machine learning to uncover the role of mitophagy in subtyping and prognosis of esophageal cancer.

Apoptosis : an international journal on programmed cell death Feb 13, 2025
Globally, esophageal cancer stands as a prominent contributor to cancer-related fatalities, distinguished by its poor prognosis. Mitophagy has a significant impact on the process of cancer progression. This study investigated the prognostic significa...
Machine Learning Prognosis Female Humans Esophageal Neoplasms Mitophagy Male Single-Cell Analysis Gene Expression Regulation, Neoplastic Tumor Microenvironment Biomarkers, Tumor
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Machine learning-based integration reveals immunological heterogeneity and the clinical potential of T cell receptor (TCR) gene pattern in hepatocellular carcinoma.

Apoptosis : an international journal on programmed cell death Feb 4, 2025
The T Cell Receptor (TCR) significantly contributes to tumor immunity, whereas the intricate interplay with the Hepatocellular Carcinoma (HCC) microenvironment and clinical significance remains largely unexplored. Here, we aimed to examine the functi...
Male Middle Aged Cell Line, Tumor Female Tumor Microenvironment Liver Neoplasms Carcinoma, Hepatocellular Receptors, Antigen, T-Cell Machine Learning Gene Expression Regulation, Neoplastic Signal Transduction Prognosis Humans
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Machine learning-based analysis of programmed cell death types and key genes in intervertebral disc degeneration.

Apoptosis : an international journal on programmed cell death Dec 4, 2024
Intervertebral disc degeneration (IVDD) is intricately associated with various forms of programmed cell death (PCD). Identifying key PCD types and associated genes is essential for understanding the molecular mechanisms underlying IVDD and discoverin...
Necroptosis Autophagy Intervertebral Disc Degeneration Apoptosis Ferroptosis Mice Computational Biology Humans Machine Learning Animals Molecular Docking Simulation Gene Regulatory Networks
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Integrated explainable machine learning and multi-omics analysis for survival prediction in cancer with immunotherapy response.

Apoptosis : an international journal on programmed cell death Dec 4, 2024
To demonstrate the efficacy of machine learning models in predicting mortality in melanoma cancer, we developed an interpretability model for better understanding the survival prediction of cancer. To this end, the optimal features were identified, t...
Biomarkers, Tumor Neoplasms Immunotherapy Prognosis Melanoma Multiomics Humans Machine Learning
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Exploring a specialized programmed-cell death patterns to predict the prognosis and sensitivity of immunotherapy in cutaneous melanoma via machine learning.

Apoptosis : an international journal on programmed cell death Apr 14, 2024
The mortality and therapeutic failure in cutaneous melanoma (CM) are mainly caused by wide metastasis and chemotherapy resistance. Meanwhile, immunotherapy is considered a crucial therapy strategy for CM patients. However, the efficiency of currently...
Machine Learning Prognosis Skin Neoplasms Tumor Microenvironment Melanoma Humans Gene Expression Regulation, Neoplastic Biomarkers, Tumor Apoptosis Immunotherapy Melanoma, Cutaneous Malignant
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Machine learning framework develops neutrophil extracellular traps model for clinical outcome and immunotherapy response in lung adenocarcinoma.

Apoptosis : an international journal on programmed cell death Mar 22, 2024
Neutrophil extracellular traps (NETs) are novel inflammatory cell death in neutrophils. Emerging studies demonstrated NETs contributed to cancer progression and metastases in multiple ways. This study intends to provide a prognostic NETs signature an...
Adenocarcinoma of Lung Prognosis Phospholipid Transfer Proteins Tumor Microenvironment Humans Cell Line, Tumor Mice Extracellular Traps Machine Learning Lung Neoplasms Animals Immunotherapy Neutrophils Gene Expression Regulation, Neoplastic
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Feasibility study of stain-free classification of cell apoptosis based on diffraction imaging flow cytometry and supervised machine learning techniques.

Apoptosis : an international journal on programmed cell death Jun 1, 2018
This study was to explore the feasibility of prediction and classification of cells in different stages of apoptosis with a stain-free method based on diffraction images and supervised machine learning. Apoptosis was induced in human chronic myelogen...
Flow Cytometry Apoptosis K562 Cells Feasibility Studies Humans Supervised Machine Learning Staining and Labeling Annexin A5 Diagnostic Imaging
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