AIMC Topic: Ferroptosis
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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
May 18, 2025
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...
Integrating Bulk and Single-Cell Transcriptomics with Machine Learning Reveals a Heme Metabolism-Based Panel for Lung Adenocarcinoma Chemotherapy Resistance.
International journal of molecular sciences
May 14, 2025
Lung adenocarcinoma (LUAD) is a leading cause of cancer-related mortality, with heme metabolism playing a critical role in tumor progression and treatment resistance. This study investigates the clinical implications of heme metabolism in LUAD, focus...
Single-Cell Analysis
Lung Neoplasms
Gene Expression Regulation, Neoplastic
Humans
Gene Expression Profiling
Machine Learning
Transcriptome
Cell Line, Tumor
Prognosis
Drug Resistance, Neoplasm
Ferroptosis
Female
Multidrug Resistance-Associated Proteins
Adenocarcinoma of Lung
Antineoplastic Agents
Cisplatin
Multidrug Resistance-Associated Protein 2
Heme
Identification of Ferroptosis-Related Gene in Age-Related Macular Degeneration Using Machine Learning.
Immunity, inflammation and disease
Dec 1, 2024
BACKGROUND: Age-related macular degeneration (AMD) is a major cause of irreversible visual impairment, with dry AMD being the most prevalent form. Programmed cell death of retinal pigment epithelium (RPE) cells is a central mechanism in the pathogene...
Machine Learning Diagnostic Model for Hepatocellular Carcinoma Based on Liquid-Liquid Phase Separation and Ferroptosis-Related Genes.
The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology
Oct 7, 2024
BACKGROUND/AIMS: Hepatocellular carcinoma (HCC) represents a primary liver malignancy with a multifaceted molecular landscape. The interplay between liquid-liquid phase separation (LLPS) and ferroptosis-a regulated form of cell death-has garnered int...
Genetic Analysis of Potential Biomarkers and Therapeutic Targets in Ferroptosis from Steroid-Induced Osteonecrosis of the Femoral Head Based on Machine Learning.
Journal of the College of Physicians and Surgeons--Pakistan : JCPSP
Aug 1, 2024
OBJECTIVE: To locate the candidate therapeutic target genes involved in ferroptosis in steroid-induced osteonecrosis of the femoral head (SONFH).
Machine learning reveals ferroptosis features and a novel ferroptosis classifier in patients with sepsis.
Immunity, inflammation and disease
May 1, 2024
OBJECTIVE: Sepsis is an organ malfunction disease that may become fatal and is commonly accompanied by severe complications such as multiorgan dysfunction. Patients who are already hospitalized have a high risk of death due to sepsis. Even though ear...
Machine Learning Identify Ferroptosis-Related Genes as Potential Diagnostic Biomarkers for Gastric Intestinal Metaplasia.
Technology in cancer research & treatment
Jan 1, 2024
BACKGROUND: Gastric intestinal metaplasia(GIM) is an independent risk factor for GC, however, its pathogenesis is still unclear. Ferroptosis is a new type of programmed cell death, which may be involved in the process of GIM. The purpose of this stud...
Identification of Diagnosis and Typological Characteristics Associated with Ferroptosis for Ulcerative Colitis Bioinformatics and Machine Learning.
Endocrine, metabolic & immune disorders drug targets
Jan 1, 2024
OBJECTIVE: To investigate and validate ferroptosis genes (FRGs) in ulcerative colitis (UC) for diagnostic, subtype, and biological agent reactivity, with the goal of providing a foundation for the identification of novel therapeutic targets and the r...
[Exploring the mechanisms of ferroptosis in non-obstructive azoospermia based on bioinformatics and machine learning].
Zhonghua nan ke xue = National journal of andrology
Oct 1, 2023
OBJECTIVE: To explor the potential mechanisms of ferroptosis involvement in non-obstructive azoospermia based on bioinformatics and machine learning methods.
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