AIMC Topic: Molecular Targeted Therapy

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Advances in molecular pathology and therapy of non-small cell lung cancer.

Signal transduction and targeted therapy Jun 15, 2025
Over the past two decades, non-small cell lung cancer (NSCLC) has witnessed encouraging advancements in basic and clinical research. However, substantial unmet needs remain for patients worldwide, as drug resistance persists as an inevitable reality....
Drug Resistance, Neoplasm Molecular Targeted Therapy Humans Lung Neoplasms Immunotherapy Carcinoma, Non-Small-Cell Lung
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The latest advances with natural products in drug discovery and opportunities for the future: a 2025 update.

Expert opinion on drug discovery Jun 5, 2025
INTRODUCTION: The landscape of drug discovery is rapidly evolving, with natural products (NPs) playing a pivotal role in the development of novel therapeutics. Despite their historical significance, challenges persist in fully harnessing their potent...
Humans Artificial Intelligence Drug Development Biological Products High-Throughput Screening Assays Molecular Targeted Therapy Immunoconjugates Animals Neoplasms Drug Discovery Computational Biology
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Deep learning radiopathomics predicts targeted therapy sensitivity in EGFR-mutant lung adenocarcinoma.

Journal of translational medicine Apr 29, 2025
BACKGROUND: Ttyrosine kinase inhibitors (TKIs) represent the standard first-line treatment for patients with epidermal growth factor receptor (EGFR)-mutant lung adenocarcinoma. However, not all patients with EGFR mutations respond to TKIs. This study...
Male Middle Aged Deep Learning Lung Neoplasms ErbB Receptors Protein Kinase Inhibitors Adenocarcinoma of Lung Mutation Retrospective Studies Molecular Targeted Therapy Humans Tomography, X-Ray Computed Female Aged
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Integrative analysis of PANoptosis-related genes in diabetic retinopathy: machine learning identification and experimental validation.

Frontiers in immunology Dec 4, 2024
BACKGROUND: Diabetic retinopathy (DR) is a major complication of diabetes, leading to severe vision impairment. Understanding the molecular mechanisms, particularly PANoptosis, underlying DR is crucial for identifying potential biomarkers and therape...
Regulated Cell Death Human Umbilical Vein Endothelial Cells ROC Curve Humans Random Forest Molecular Targeted Therapy RNA-Seq Diabetic Retinopathy CD4-Positive T-Lymphocytes Memory T Cells Machine Learning Gene Regulatory Networks Gene Expression Regulation Fatty Acid Synthase, Type I Biomarkers Nomograms Phospholipid Transfer Proteins
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Multiparametric MRI-based Machine Learning Radiomics for Predicting Treatment Response to Transarterial Chemoembolization Combined with Targeted and Immunotherapy in Unresectable Hepatocellular Carcinoma: A Multicenter Study.

Academic radiology Nov 28, 2024
RATIONALE AND OBJECTIVES: To develop and validate multiple machine learning predictive models incorporating clinical features and pretreatment multiparametric magnetic resonance imaging (MRI) radiomic features for predicting treatment response to tra...
Combined Modality Therapy Molecular Targeted Therapy Chemoembolization, Therapeutic Multiparametric Magnetic Resonance Imaging Liver Neoplasms Carcinoma, Hepatocellular Immunotherapy Treatment Outcome Machine Learning Retrospective Studies Female Aged Adult Radiomics Male Middle Aged Humans
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Identification and validation of interferon-stimulated gene 15 as a biomarker for dermatomyositis by integrated bioinformatics analysis and machine learning.

Frontiers in immunology Nov 4, 2024
BACKGROUND: Dermatomyositis (DM) is an autoimmune disease that primarily affects the skin and muscles. It can lead to increased mortality, particularly when patients develop associated malignancies or experience fatal complications such as pulmonary ...
Biomarkers Molecular Docking Simulation Gene Expression Profiling Skin Case-Control Studies ROC Curve Gene Expression Regulation Humans Dermatomyositis Gene Regulatory Networks Molecular Targeted Therapy Machine Learning Computational Biology Ubiquitins Cytokines Biopsy
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Machine learning-based identification and validation of immune-related biomarkers for early diagnosis and targeted therapy in diabetic retinopathy.

Gene Oct 18, 2024
The early diagnosis of diabetic retinopathy (DR) is challenging, highlighting the urgent need to identify new biomarkers. Immune responses play a crucial role in DR, yet there are currently no reports of machine learning (ML) algorithms being utilize...
Biomarkers Molecular Docking Simulation Gene Expression Profiling Gene Regulatory Networks Support Vector Machine Humans Diabetic Retinopathy Machine Learning Algorithms Bayes Theorem Early Diagnosis Molecular Targeted Therapy
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Four Genes with Seven Targeted Drugs might be Treatment for Diabetic Nephropathy and Acute Coronary Syndrome.

The Tohoku journal of experimental medicine Jun 27, 2024
Diabetes nephropathy (DN) is a main risk factor for acute coronary syndrome (ACS), but the molecular mechanism is unknown. This research used bioinformatics approaches to uncover potential molecular mechanisms and drugs for DN and ACS. GSE142153 and ...
Gene Expression Regulation Molecular Targeted Therapy Gene Ontology Diabetic Nephropathies Computational Biology Gene Expression Profiling Databases, Genetic Protein Interaction Maps Humans Acute Coronary Syndrome Gene Regulatory Networks
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Artificial intelligence for small molecule anticancer drug discovery.

Expert opinion on drug discovery Jun 18, 2024
INTRODUCTION: The transition from conventional cytotoxic chemotherapy to targeted cancer therapy with small-molecule anticancer drugs has enhanced treatment outcomes. This approach, which now dominates cancer treatment, has its advantages. Despite th...
Deep Learning Animals Big Data Neoplasms Drug Development Humans Drug Discovery Molecular Targeted Therapy Drug Resistance, Neoplasm Artificial Intelligence Antineoplastic Agents Machine Learning
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Prognostic value of combining clinical factors, F-FDG PET-based intensity, volumetric features, and deep learning predictor in patients with EGFR-mutated lung adenocarcinoma undergoing targeted therapies: a cross-scanner and temporal validation study.

Annals of nuclear medicine May 5, 2024
OBJECTIVE: To investigate the prognostic value of F-FDG PET-based intensity, volumetric features, and deep learning (DL) across different generations of PET scanners in patients with epidermal growth factor receptor (EGFR)-mutated lung adenocarcinoma...
Middle Aged Deep Learning Lung Neoplasms Mutation Molecular Targeted Therapy ErbB Receptors Protein Kinase Inhibitors Positron-Emission Tomography Fluorodeoxyglucose F18 Aged Aged, 80 and over Adult Male Humans Prognosis Retrospective Studies Adenocarcinoma of Lung Female
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