AIMC Topic: Sulfonylurea Compounds

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SERPINA3: A Novel Therapeutic Target for Diabetes-Related Cognitive Impairment Identified Through Integrated Machine Learning and Molecular Docking Analysis.

International journal of molecular sciences Feb 24, 2025
Diabetes-related cognitive impairment (DCI) is a severe complication of type 2 diabetes mellitus (T2DM), with limited understanding of its molecular mechanisms hindering effective therapeutic development. This study identified SERPINA3 as a potential...
Molecular Docking Simulation Humans Cognitive Dysfunction Diabetes Mellitus, Type 2 Aged Machine Learning Male Female Middle Aged Hypoglycemic Agents Sulfonylurea Compounds Serpins
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A green and efficient method for detecting nicosulfuron residues in field maize using hyperspectral imaging and deep learning.

Journal of hazardous materials Nov 30, 2024
Accurate and rapid detection of nicosulfuron herbicide residues in field-grown maize is essential for implementing chemical remediation and optimizing spraying strategies. However, current detection methods are costly and time-consuming. This study a...
Zea mays Herbicides Hyperspectral Imaging Deep Learning Pesticide Residues Neural Networks, Computer Plant Leaves Sulfonylurea Compounds Pyridines
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Early detection of nicosulfuron toxicity and physiological prediction in maize using multi-branch deep learning models and hyperspectral imaging.

Journal of hazardous materials May 28, 2024
The misuse of herbicides in fields can cause severe toxicity in maize, resulting in significant reductions in both yield and quality. Therefore, it is crucial to develop early and efficient methods for assessing herbicide toxicity, protecting maize p...
Sulfonylurea Compounds Pyridines Zea mays Herbicides Deep Learning
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Patient-level meta-analysis of efficacy and hypoglycaemia in people with type 2 diabetes initiating insulin glargine 100U/mL or neutral protamine Hagedorn insulin analysed according to concomitant oral antidiabetes therapy.

Diabetes research and clinical practice Nov 9, 2016
AIMS: Evaluate efficacy and hypoglycaemia according to concomitant oral antidiabetes drug (OAD) in people with type 2 diabetes initiating insulin glargine 100U/mL (Gla-100) or neutral protamine Hagedorn (NPH) insulin once daily.
Weight Gain Hypoglycemic Agents Treatment Outcome Insulin, Isophane Clinical Trials, Phase III as Topic Randomized Controlled Trials as Topic Clinical Trials, Phase IV as Topic Sulfonylurea Compounds Glycated Hemoglobin Male Administration, Oral Insulin Glargine Incidence Drug Therapy, Combination Humans Hypoglycemia Diabetes Mellitus, Type 2 Female
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Glucagon-like Peptide-1 Receptor Agonists in Asthma Exacerbations: An Application of High-Dimensional Iterative Causal Forest to Identify Subgroups.

Pharmacoepidemiology and drug safety Aug 1, 2025
BACKGROUND: Glucagon-like Peptide-1 Receptor Agonists (GLP1RA) may reduce asthma exacerbation (AE) risk, but it is unclear which populations benefit most. Recent pharmacoepidemiologic studies have employed iterative causal forest (iCF), a machine lea...
Asthma Humans Male Middle Aged Machine Learning Sulfonylurea Compounds Disease Progression Female Young Adult Algorithms Pharmacoepidemiology Adolescent Hospitalization Adult Glucagon-Like Peptide-1 Receptor Agonists Cohort Studies Aged
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Evaluating prediction of short-term tolerability of five type 2 diabetes drug classes using routine clinical features: UK population-based study.

Diabetes, obesity & metabolism Aug 1, 2025
AIMS: A precision medicine approach in type 2 diabetes (T2D) needs to consider potential treatment risks alongside established benefits for glycaemic and cardiometabolic outcomes. Considering five major T2D drug classes, we aimed to describe variatio...
Humans Precision Medicine Female Middle Aged Diabetes Mellitus, Type 2 Hypoglycemic Agents Aged Adult Male Sulfonylurea Compounds Dipeptidyl-Peptidase IV Inhibitors United Kingdom Glucagon-Like Peptide-1 Receptor Agonists Sodium-Glucose Transporter 2 Inhibitors
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Can metformin prevent cancer relative to sulfonylureas? A target trial emulation accounting for competing risks and poor overlap via double/debiased machine learning estimators.

American journal of epidemiology Feb 5, 2025
There is mounting interest in the possibility that metformin, indicated for glycemic control in type 2 diabetes, has a range of additional beneficial effects. Randomized trials have shown that metformin prevents adverse cardiovascular events, and met...
United Kingdom Sulfonylurea Compounds Middle Aged Neoplasms Incidence Diabetes Mellitus, Type 2 Hypoglycemic Agents Metformin Humans Female Machine Learning Aged Male
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