AIMC Topic: Hypoglycemic Agents

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Leveraging artificial intelligence and machine learning to accelerate discovery of disease-modifying therapies in type 1 diabetes.

Diabetologia Dec 19, 2024
Progress in developing therapies for the maintenance of endogenous insulin secretion in, or the prevention of, type 1 diabetes has been hindered by limited animal models, the length and cost of clinical trials, difficulties in identifying individuals...
Humans Artificial Intelligence Machine Learning Animals Drug Discovery Diabetes Mellitus, Type 1 Hypoglycemic Agents
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Early Detection of Dementia in Populations With Type 2 Diabetes: Predictive Analytics Using Machine Learning Approach.

Journal of medical Internet research Dec 11, 2024
BACKGROUND: The possible association between diabetes mellitus and dementia has raised concerns, given the observed coincidental occurrences.
Humans Neural Networks, Computer Machine Learning Retrospective Studies Hypoglycemic Agents Taiwan Early Diagnosis Female Male Aged Middle Aged Aged, 80 and over Dementia Diabetes Mellitus, Type 2
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Modeling the fasting blood glucose response to basal insulin adjustment in type 2 diabetes: An explainable machine learning approach on real-world data.

International journal of medical informatics Dec 9, 2024
INTRODUCTION: Optimal basal insulin titration for people with type 2 diabetes is vital to effectively reducing the risk of complications. However, a sizeable proportion of people (30-50 %) remain in suboptimal glycemic control six months post-initiat...
Hypoglycemic Agents Blood Glucose Insulin Diabetes Mellitus, Type 2 Humans Machine Learning Female Aged Male Middle Aged Fasting
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Machine learning algorithms mimicking specialists decision making on initial treatment for people with type 2 diabetes mellitus in Japan diabetes data management study (JDDM76).

Diabetes & metabolic syndrome Nov 29, 2024
OBJECTIVE: To evaluate whether typical machine learning models that mimic specialists' care can successfully reproduce information, not only on whether to prescribe medications but also which hypoglycemic agents to prescribe as initial treatment for ...
Female Japan Aged Specialization Humans Male Diabetes Mellitus, Type 2 Middle Aged Machine Learning Hypoglycemic Agents Algorithms Follow-Up Studies Prognosis Decision Making
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Parental perspectives following the implementation of advanced hybrid closed-loop therapy in children and adolescents with type 1 diabetes and elevated glycaemia.

Diabetic medicine : a journal of the British Diabetic Association Nov 25, 2024
AIMS: To identify from a parental perspective facilitators and barriers of effective implementation of advanced hybrid closed-loop (AHCL) therapy in children and adolescents with type 1 diabetes (T1D) with elevated glycaemia.
Adolescent Parents Blood Glucose Humans Diabetes Mellitus, Type 1 Blood Glucose Self-Monitoring Insulin Female Hypoglycemic Agents Male Child Glycated Hemoglobin Glycemic Control Insulin Infusion Systems Pancreas, Artificial
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Development and validation of a machine learning model for predicting drug-drug interactions with oral diabetes medications.

Methods (San Diego, Calif.) Nov 1, 2024
Diabetes management is often complicated by comorbidities, requiring complex medication regimens that increase the risk of drug-drug interactions (DDIs), potentially compromising treatment outcomes or causing toxicity. Although machine learning (ML) ...
Administration, Oral Machine Learning Hypoglycemic Agents Diabetes Mellitus Drug Interactions Humans
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Employing Machine Learning Models to Predict Potential α-Glucosidase Inhibitory Plant Secondary Metabolites Targeting Type-2 Diabetes and Their Validation.

Journal of chemical information and modeling Oct 1, 2024
The need for new antidiabetic drugs is evident, considering the ongoing global burden of type-2 diabetes mellitus despite notable progress in drug discovery from laboratory research to clinical application. This study aimed to build machine learning ...
alpha-Glucosidases Glycoside Hydrolase Inhibitors Secondary Metabolism Humans Machine Learning Diabetes Mellitus, Type 2 Hypoglycemic Agents Plants
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Enhancing severe hypoglycemia prediction in type 2 diabetes mellitus through multi-view co-training machine learning model for imbalanced dataset.

Scientific reports Sep 30, 2024
Patients with type 2 diabetes mellitus (T2DM) who have severe hypoglycemia (SH) poses a considerable risk of long-term death, especially among the elderly, demanding urgent medical attention. Accurate prediction of SH remains challenging due to its m...
Electronic Health Records Female Aged Glycated Hemoglobin Humans Hypoglycemia Male Middle Aged Machine Learning Blood Glucose Algorithms Diabetes Mellitus, Type 2 Hypoglycemic Agents
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Enhancing pharmacist intervention targeting based on patient clustering with unsupervised machine learning.

Expert review of pharmacoeconomics & outcomes research Sep 23, 2024
OBJECTIVES: Adherence to the American Diabetes Association (ADA) Standards of Medical Care is low. This study aimed to assist pharmacists in identifying patients for diabetes control interventions using unsupervised machine learning.
Hypoglycemic Agents Diabetes Mellitus Age Factors Cluster Analysis Unsupervised Machine Learning Insurance, Health Self Report Sex Factors Male Middle Aged Surveys and Questionnaires United States Humans Machine Learning Female Diabetes Complications Aged Pharmacists Adult Professional Role Pharmaceutical Services
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Prediction of People With Type 2 Diabetes Not Achieving HbA1c Target After Initiation of Fast-Acting Insulin Therapy: Using Machine Learning Framework on Clinical Trial Data.

Journal of diabetes science and technology Sep 20, 2024
BACKGROUND AND AIMS: Glycemic control is crucial for people with type 2 diabetes. However, only about half achieve the advocated HbA1c target of ≤7%. Identifying those who will probably struggle to reach this target may be valuable as they require ad...
Machine Learning Female Aged Male Humans Hypoglycemic Agents Glycated Hemoglobin Blood Glucose Self-Monitoring Glycemic Control Middle Aged Blood Glucose Insulin Diabetes Mellitus, Type 2
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