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Cell Death

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Multiple machine learning algorithms identify 13 types of cell death-critical genes in large and multiple non-alcoholic steatohepatitis cohorts.

Lipids in health and disease 40340817
BACKGROUND: Dysregulated programmed cell death pathways mechanistically contribute to hepatic inflammation and fibrogenesis in non-alcoholic steatohepatitis (NASH). Identification of cell death genes may offer insights into diagnostic and therapeutic...
Algorithms Cell Death Cohort Studies Female Gene Expression Profiling Humans Inflammation Lipid Metabolism Liver Liver Cirrhosis Machine Learning Male Non-alcoholic Fatty Liver Disease
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Unveiling Varied Cell Death Patterns in Lung Adenocarcinoma Prognosis and Immunotherapy Based on Single-Cell Analysis and Machine Learning.

Journal of cellular and molecular medicine 39602465
Programmed cell death (PCD) pathways hold significant influence in the etiology and progression of a variety of cancer forms, particularly offering promising prognostic markers and clues to drug sensitivity for lung adenocarcinoma (LUAD) patients. We...
Adenocarcinoma of Lung Apoptosis Biomarkers, Tumor Cell Death Cell Line, Tumor Female Gene Expression Regulation, Neoplastic Humans Immunotherapy Lung Neoplasms Machine Learning Male Prognosis Single-Cell Analysis Tumor Microenvironment
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Machine Learning-Assisted "Shrink-Restricted" SERS Strategy for Classification of Environmental Nanoplastic-Induced Cell Death.

Environmental science & technology 39670472
The biotoxicity of nanoplastics (NPs), especially from environmental sources, and "NPs carrier effect" are in the early stages of research. This study presents a machine learning-assisted "shrink-restricted" SERS strategy (SRSS) to monitor molecular ...
Cell Death Cell Line Humans Machine Learning Metal Nanoparticles Silver Spectrum Analysis, Raman
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A synthetic protein-level neural network in mammalian cells.

Science (New York, N.Y.) 39666795
Artificial neural networks provide a powerful paradigm for nonbiological information processing. To understand whether similar principles could enable computation within living cells, we combined de novo-designed protein heterodimers and engineered v...
Cell Death HEK293 Cells Humans Neural Networks, Computer Protein Engineering Protein Interaction Maps Protein Multimerization Proteolysis Recombinant Fusion Proteins Synthetic Biology Viral Proteases
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Diverse regulated cell death patterns and immune traits in kidney allograft with fibrosis: a prediction of renal allograft failure based on machine learning, single-nucleus RNA sequencing and molecular docking.

Renal failure 39632251
Post-transplant allograft fibrosis remains a challenge in prolonging allograft survival. Regulated cell death has been widely implicated in various kidney diseases, including renal fibrosis. However, the role of different regulated cell death (RCD) ...
Adult Allografts Cell Death Female Fibrosis Gene Expression Profiling Graft Rejection Graft Survival Humans Kidney Kidney Transplantation Machine Learning Male Middle Aged Molecular Docking Simulation Sequence Analysis, RNA Transcriptome
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Machine learning and molecular subtyping reveal the impact of diverse patterns of cell death on the prognosis and treatment of hepatocellular carcinoma.

Computational biology and chemistry 39874853
Programmed cell death (PCD) is a significant factor in the progression of hepatocellular carcinoma (HCC) and might serve as a crucial marker for predicting HCC prognosis and therapy response. However, the classification of HCC based on diverse PCD pa...
Antineoplastic Agents Carcinoma, Hepatocellular Cell Death Humans Liver Neoplasms Machine Learning Prognosis
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Deep learning-based image classification reveals heterogeneous execution of cell death fates during viral infection.

Molecular biology of the cell 39841552
Cell fate decisions, such as proliferation, differentiation, and death, are driven by complex molecular interactions and signaling cascades. While significant progress has been made in understanding the molecular determinants of these processes, hist...
Animals Apoptosis Cell Death Chlorocebus aethiops Deep Learning Herpes Simplex Herpesvirus 1, Human Humans Image Processing, Computer-Assisted Necroptosis Pyroptosis Signal Transduction
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Classification patterns identification of immunogenic cell death-related genes in heart failure based on deep learning.

Scientific reports 39955386
Heart failure (HF) is a complex and prevalent condition, particularly in the elderly, presenting symptoms like chest tightness, shortness of breath, and dyspnea. The study aimed to improve the classification of HF subtypes and identify potential drug...
Cell Death Deep Learning Gene Expression Profiling Heart Failure Humans Male MicroRNAs
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Integrating Machine Learning and Bulk and Single-Cell RNA Sequencing to Decipher Diverse Cell Death Patterns for Predicting the Prognosis of Neoadjuvant Chemotherapy in Breast Cancer.

International journal of molecular sciences 40332226
Breast cancer (BRCA) continues to pose a serious risk to women's health worldwide. Neoadjuvant chemotherapy (NAC) is a critical treatment strategy. Nevertheless, the heterogeneity in treatment outcomes necessitates the identification of reliable biom...
Biomarkers, Tumor Breast Neoplasms Cell Death Female Gene Expression Regulation, Neoplastic Humans Machine Learning Middle Aged Neoadjuvant Therapy Prognosis Sequence Analysis, RNA Single-Cell Analysis
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Deep transfer learning approach for automated cell death classification reveals novel ferroptosis-inducing agents in subsets of B-ALL.

Cell death & disease 40382332
Ferroptosis is a recently described type of regulated necrotic cell death whose induction has anti-cancer therapeutic potential, especially in hematological malignancies. However, efforts to uncover novel ferroptosis-inducing therapeutics have been l...
Animals Antineoplastic Agents Cell Death Cell Line, Tumor Deep Learning Ferroptosis Humans Mice