AIMC Topic: Drug Combinations
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Impact of dental pulp cells-derived small extracellular vesicles on the properties and behavior of dental pulp cells: an in-vitro study.
BMC oral health
May 10, 2025
BACKGROUND: Dental pulp cells-derived small extracellular vesicles (DPCs-sEVs) had shown immunomodulatory, anti-inflammatory, and tissue function restorative abilities. Therefore, DPCs-sEVs should be considered as a promising regenerative tool for de...
Step up to triple therapy versus switch to dual bronchodilator therapy in patients with COPD on an inhaled corticosteroid/long-acting β-agonist: post-hoc analyses of KRONOS.
Respiratory research
May 8, 2025
BACKGROUND: In people with chronic obstructive pulmonary disease (COPD) on inhaled corticosteroid/long-acting β-agonist (ICS/LABA) therapy, the Global Initiative for Chronic Obstructive Lung Disease (GOLD) recommends stepping up to ICS/long-acting mu...
Treatment Outcome
Drug Combinations
Double-Blind Method
Drug Therapy, Combination
Drug Substitution
Muscarinic Antagonists
Adrenal Cortex Hormones
Aged
Pulmonary Disease, Chronic Obstructive
Male
Middle Aged
Humans
Female
Administration, Inhalation
Bronchodilator Agents
Adrenergic beta-2 Receptor Agonists
Predicting drug combination side effects based on a metapath-based heterogeneous graph neural network.
BMC bioinformatics
Jan 15, 2025
In recent years, combined drug screening has played a very important role in modern drug discovery. Generally, synergistic drug combinations are crucial in treatment for many diseases. However, the toxic side effects of drug combinations are probably...
DeepDrug as an expert guided and AI driven drug repurposing methodology for selecting the lead combination of drugs for Alzheimer's disease.
Scientific reports
Jan 15, 2025
Alzheimer's Disease (AD) significantly aggravates human dignity and quality of life. While newly approved amyloid immunotherapy has been reported, effective AD drugs remain to be identified. Here, we propose a novel AI-driven drug-repurposing method,...
Hepatoid adenocarcinoma of the stomach with ideal response to neoadjuvant chemo-immunotherapy: a case report.
Frontiers in immunology
Jan 8, 2025
Hepatoid adenocarcinoma of the stomach (HAS) is a rare subtype of gastric cancer characterized by histological features resembling hepatocellular carcinoma. Surgical intervention remains the preferred treatment modality for eligible patients. However...
ComNet: A Multiview Deep Learning Model for Predicting Drug Combination Side Effects.
Journal of chemical information and modeling
Jan 3, 2025
As combination therapy becomes more common in clinical applications, predicting adverse effects of combination medications is a challenging task. However, there are three limitations of the existing prediction models. First, they rely on a single vie...
Predicting remission after acute phase pharmacotherapy in patients with bipolar I depression: A machine learning approach with cross-trial and cross-drug replication.
Bipolar disorders
Oct 3, 2024
OBJECTIVES: Interpatient variability in bipolar I depression (BP-D) symptoms challenges the ability to predict pharmacotherapeutic outcomes. A machine learning workflow was developed to predict remission after 8 weeks of pharmacotherapy (total score ...
Artificial intelligence-clinical decision support system for enhanced infectious disease management: Accelerating ceftazidime-avibactam resistance detection in Klebsiella pneumoniae.
Journal of infection and public health
Sep 10, 2024
BACKGROUND: Effective and rapid diagnostic strategies are required to manage antibiotic resistance in Klebsiella pneumonia (KP). This study aimed to design an artificial intelligence-clinical decision support system (AI-CDSS) using matrix-assisted la...
Drug Combinations
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Azabicyclo Compounds
Ceftazidime
Decision Support Systems, Clinical
Klebsiella pneumoniae
Klebsiella Infections
Humans
Artificial Intelligence
Machine Learning
Anti-Bacterial Agents
Microbial Sensitivity Tests
Drug Resistance, Multiple, Bacterial
Predicting drug resistance using artificial intelligence and clinical MALDI-TOF mass spectra.
mSystems
Aug 16, 2024
Matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) is widely used in clinical microbiology laboratories for bacterial identification but its use for detection of antimicrobial resistance (AMR) remains limited....
DrugSK: A Stacked Ensemble Learning Framework for Predicting Drug Combinations of Multiple Diseases.
Journal of chemical information and modeling
Jun 20, 2024
Combination therapy is an important direction of continuous exploration in the field of medicine, with the core goals of improving treatment efficacy, reducing adverse reactions, and optimizing clinical outcomes. Machine learning technology holds gre...
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