AIMC Topic: Drug Therapy, Combination
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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...
Adrenergic beta-2 Receptor Agonists
Adrenal Cortex Hormones
Administration, Inhalation
Treatment Outcome
Bronchodilator Agents
Drug Combinations
Drug Therapy, Combination
Double-Blind Method
Drug Substitution
Muscarinic Antagonists
Humans
Female
Aged
Pulmonary Disease, Chronic Obstructive
Male
Middle Aged
Prediction of remission of pharmacologically treated psychotic depression: A machine learning approach.
Journal of affective disorders
Apr 3, 2025
BACKGROUND: The combination of antidepressant and antipsychotic medication is an effective treatment for major depressive disorder with psychotic features ('psychotic depression'). The present study aims to identify sociodemographic and clinical pred...
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,...
Advanced AI and ML frameworks for transforming drug discovery and optimization: With innovative insights in polypharmacology, drug repurposing, combination therapy and nanomedicine.
European journal of medicinal chemistry
Dec 13, 2024
Artificial Intelligence (AI) and Machine Learning (ML) are transforming drug discovery by overcoming traditional challenges like high costs, time-consuming, and frequent failures. AI-driven approaches streamline key phases, including target identific...
Enhanced Plaque Stabilization Effects of Alirocumab - Insights From Artificial Intelligence-Aided Optical Coherence Tomography Analysis of the Alirocumab for Thin-Cap Fibroatheroma in Patients With Coronary Artery Disease Estimated by Optical Coherence Tomography (ALTAIR) Study.
Circulation journal : official journal of the Japanese Circulation Society
Sep 21, 2024
BACKGROUND: Proprotein convertase subtilisin/kexin type 9 inhibitors stabilize vulnerable plaque, reducing cardiovascular events. However, manual optical coherence tomography (OCT) analysis of drug efficacy is challenging because of signal attenuatio...
Combination therapy synergism prediction for virus treatment using machine learning models.
PloS one
Sep 4, 2024
Combining different drugs synergistically is an essential aspect of developing effective treatments. Although there is a plethora of research on computational prediction for new combination therapies, there is limited to no research on combination th...
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...
Antibiotic combinations prediction based on machine learning to multicentre clinical data and drug interaction correlation.
International journal of antimicrobial agents
Feb 29, 2024
BACKGROUND: With increasing antibiotic resistance and regulation, the issue of antibiotic combination has been emphasised. However, antibiotic combination prescribing lacks a rapid identification of feasibility, while its risk of drug interactions is...
SynerGNet: A Graph Neural Network Model to Predict Anticancer Drug Synergy.
Biomolecules
Feb 21, 2024
Drug combination therapy shows promise in cancer treatment by addressing drug resistance, reducing toxicity, and enhancing therapeutic efficacy. However, the intricate and dynamic nature of biological systems makes identifying potential synergistic d...
An Overview of Advances in Rare Cancer Diagnosis and Treatment.
International journal of molecular sciences
Jan 18, 2024
Cancer stands as the leading global cause of mortality, with rare cancer comprising 230 distinct subtypes characterized by infrequent incidence. Despite the inherent challenges in addressing the diagnosis and treatment of rare cancers due to their lo...
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