AIMC Topic: Sulfonylurea Compounds

Clear Filters Showing 1 to 5 of 5 articles

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...
Male Middle Aged Aged Diabetes Mellitus, Type 2 Hypoglycemic Agents Molecular Docking Simulation Cognitive Dysfunction Humans Machine Learning Female Serpins Sulfonylurea Compounds
View on PubMed DOI

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...
Sulfonylurea Compounds Hyperspectral Imaging Deep Learning Pesticide Residues Plant Leaves Pyridines Zea mays Herbicides Neural Networks, Computer
View on PubMed DOI

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...
Deep Learning Sulfonylurea Compounds Pyridines Zea mays Herbicides
View on PubMed DOI

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.
Sulfonylurea Compounds Glycated Hemoglobin Incidence Female Insulin Glargine Clinical Trials, Phase IV as Topic Male Clinical Trials, Phase III as Topic Diabetes Mellitus, Type 2 Humans Randomized Controlled Trials as Topic Insulin, Isophane Hypoglycemic Agents Treatment Outcome Drug Therapy, Combination Hypoglycemia Weight Gain Administration, Oral
View on PubMed DOI

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...
Incidence Machine Learning Humans Female Diabetes Mellitus, Type 2 Middle Aged Aged Hypoglycemic Agents United Kingdom Neoplasms Male Sulfonylurea Compounds Metformin
View on PubMed DOI
Popular Topics
Recent Journals