AIMC Topic: Cell Line, Tumor

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Machine learning assisted dual-modal SERS detection for circulating tumor cells.

Biosensors & bioelectronics Oct 30, 2024
Detecting circulating tumor cells (CTCs) from blood has become a promising approach for cancer diagnosis. Surface-enhanced Raman Spectroscopy (SERS) has rapidly developed as a significant detection technology for CTCs, offering high sensitivity and s...
Metal Nanoparticles Neoplastic Cells, Circulating Cell Line, Tumor Biosensing Techniques Spectrum Analysis, Raman Principal Component Analysis Humans Machine Learning Neoplasms
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Comprehensive multi-omics analysis identifies chromatin regulator-related signatures and TFF1 as a therapeutic target in lung adenocarcinoma through a 429-combination machine learning approach.

Frontiers in immunology Oct 30, 2024
INTRODUCTION: Lung cancer is a leading cause of cancer-related deaths, with its incidence continuing to rise. Chromatin remodeling, a crucial process in gene expression regulation, plays a significant role in the development and progression of malign...
Chromatin Lung Neoplasms Trefoil Factor-1 Tumor Microenvironment Humans Biomarkers, Tumor Cell Proliferation Mice Machine Learning Animals Multiomics Prognosis Apoptosis Cell Line, Tumor Gene Expression Regulation, Neoplastic Female Xenograft Model Antitumor Assays Adenocarcinoma of Lung
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A Machine Learning-Optimized System for Pulsatile, Photo- and Chemotherapeutic Treatment Using Near-Infrared Responsive MoS-Based Microparticles in a Breast Cancer Model.

ACS nano Oct 27, 2024
Multimodal cancer therapies are often required for progressive cancers due to the high persistence and mortality of the disease and the negative systemic side effects of traditional therapeutic methods. Thus, the development of less invasive modaliti...
Disulfides Infrared Rays Molybdenum Doxorubicin Polyesters Phototherapy Female Breast Neoplasms Animals Antineoplastic Agents Cell Line, Tumor Mice Mice, Inbred BALB C Particle Size Humans Machine Learning
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Machine learning identification of NK cell immune characteristics in hepatocellular carcinoma based on single-cell sequencing and bulk RNA sequencing.

Genes & genomics Oct 21, 2024
BACKGROUND: Hepatocellular carcinoma (HCC) is a highly malignant tumor; however, its immune microenvironment and mechanisms remain elusive. Single-cell sequencing allows for the exploration of immune characteristics within tumor at the cellular level...
Cell Line, Tumor Tumor Microenvironment Killer Cells, Natural Sequence Analysis, RNA Biomarkers, Tumor Humans Machine Learning Male Liver Neoplasms Gene Expression Regulation, Neoplastic Middle Aged Prognosis Carcinoma, Hepatocellular Female Single-Cell Analysis
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Advancing Anticancer Drug Discovery: Leveraging Metabolomics and Machine Learning for Mode of Action Prediction by Pattern Recognition.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Oct 21, 2024
A bottleneck in the development of new anti-cancer drugs is the recognition of their mode of action (MoA). Metabolomics combined with machine learning allowed to predict MoAs of novel anti-proliferative drug candidates, focusing on human prostate can...
Humans Machine Learning Metabolomics Male Chromatography, Liquid Drug Discovery Prostatic Neoplasms Antineoplastic Agents Tandem Mass Spectrometry Cell Line, Tumor Energy Metabolism
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Bulk integrated single-cell-spatial transcriptomics reveals the impact of preoperative chemotherapy on cancer-associated fibroblasts and tumor cells in colorectal cancer, and construction of related predictive models using machine learning.

Biochimica et biophysica acta. Molecular basis of disease Oct 5, 2024
BACKGROUND: Preoperative chemotherapy (PC) is an important component of Colorectal cancer (CRC) treatment, but its effects on the biological functions of fibroblasts and epithelial cells in CRC are unclear.
Transcriptome Cell Line, Tumor Single-Cell Analysis Gene Expression Regulation, Neoplastic Prognosis Female Colorectal Neoplasms Male Cancer-Associated Fibroblasts Epithelial Cells Receptor, Notch3 Humans Machine Learning
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Enhanced cancer classification and critical feature visualization using Raman spectroscopy and convolutional neural networks.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Oct 4, 2024
Cell misuse and cross-contamination pose a significant threat to the accuracy of cell research outcomes, often leading to the wasteful expenditure of time, manpower, and material resources. Consequently, the accurate identification of cell lines is p...
Neural Networks, Computer Algorithms Neoplasms Cell Line, Tumor Spectrum Analysis, Raman Humans
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Wee1 inhibitor optimization through deep-learning-driven decision making.

European journal of medicinal chemistry Sep 29, 2024
Deep learning has gained increasing attention in recent years, yielding promising results in hit screening and molecular optimization. Herein, we employed an efficient strategy based on multiple deep learning techniques to optimize Wee1 inhibitors, w...
Molecular Structure Protein Kinase Inhibitors Cell Cycle Proteins Protein-Tyrosine Kinases Decision Making Drug Screening Assays, Antitumor Structure-Activity Relationship Deep Learning Cell Line, Tumor Cell Proliferation Dose-Response Relationship, Drug Humans Antineoplastic Agents
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Machine learning-based discovery of UPP1 as a key oncogene in tumorigenesis and immune escape in gliomas.

Frontiers in immunology Sep 24, 2024
INTRODUCTION: Gliomas are the most common and aggressive type of primary brain tumor, with a poor prognosis despite current treatment approaches. Understanding the molecular mechanisms underlying glioma development and progression is critical for imp...
Prognosis Biomarkers, Tumor Brain Neoplasms Animals Humans Carcinogenesis Cell Line, Tumor Tumor Escape Machine Learning Oncogenes Mice Gene Expression Regulation, Neoplastic Glioma
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Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms.

Journal of microbiology and biotechnology Sep 23, 2024
As a treatment for esophageal squamous cell carcinoma (ESCC), which is common and fatal, mitophagy is a conserved cellular mechanism that selectively removes damaged mitochondria and is crucial for cellular homeostasis. While tumor development and re...
Humans Machine Learning Algorithms Prognosis Biomarkers, Tumor Esophageal Neoplasms Mitochondria Esophageal Squamous Cell Carcinoma Transcriptome Apoptosis Regulatory Proteins Single-Cell Gene Expression Analysis Mitochondrial Proteins Cell Line, Tumor Gene Expression Regulation, Neoplastic Mitophagy Single-Cell Analysis Cell Proliferation RNA-Seq Cell Movement
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