AIMC Topic: Metformin
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Stacked classifiers for individualized prediction of glycemic control following initiation of metformin therapy in type 2 diabetes.
Computers in biology and medicine
Oct 16, 2018
OBJECTIVE: Metformin is the preferred first-line medication for management of type 2 diabetes and prediabetes. However, over a third of patients experience primary or secondary therapeutic failure. We developed machine learning models to predict whic...
Machine Learning Helps Identify New Drug Mechanisms in Triple-Negative Breast Cancer.
IEEE transactions on nanobioscience
Jul 2, 2018
This paper demonstrates the ability of mach- ine learning approaches to identify a few genes among the 23,398 genes of the human genome to experiment on in the laboratory to establish new drug mechanisms. As a case study, this paper uses MDA-MB-231 b...
Learning Effective Treatment Pathways for Type-2 Diabetes from a clinical data warehouse.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 10, 2017
Treatment guidelines for management of type-2 diabetes mellitus (T2DM) are controversial because existing evidence from randomized clinical trials do not address many important clinical questions. Data from Electronic Medical Records (EMRs) has been ...
Can metformin change the prognosis of pancreatic cancer? Retrospective study for pancreatic cancer patients with pre-existing diabetes mellitus type 2.
Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
Dec 21, 2015
BACKGROUNDS: The effect of metformin on survival in patients with pancreatic cancer is controversial.
Humans
Prognosis
Diabetes Mellitus, Type 2
CA-19-9 Antigen
Aged, 80 and over
Metformin
Retrospective Studies
Hypoglycemic Agents
Adult
Proportional Hazards Models
Pancreatic Neoplasms
Survival Rate
Republic of Korea
Multivariate Analysis
Neoplasm Staging
Male
Female
Kaplan-Meier Estimate
Middle Aged
Aged
Bioequivalence of fixed-dose combinations of dapagliflozin and metformin with single-component tablets in healthy subjects and the effect of food on bioavailability.
Clinical pharmacology in drug development
Oct 20, 2015
The pharmacokinetics (PK) of dapagliflozin and metformin administered as fixed-dose combination (FDC) tablets (2.5 mg dapagliflozin/850 mg metformin or 5 mg dapagliflozin/1000 mg metformin) or as separate tablets in healthy subjects were evaluated in...
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...
Non-Linear Dose-Response Relationship for Metformin in Japanese Patients With Type 2 Diabetes: Analysis of Irregular Longitudinal Data by Interpretable Machine Learning Models.
Pharmacology research & perspectives
Feb 1, 2025
The dose-response relationship between metformin and change in hemoglobin A1c (HbA1c) shows a maximum at 1500-2000 mg/day in patients with type 2 diabetes (T2D) in the U.S. In Japan, there is little evidence on the HbA1c-lowering effect of high-dose ...
[Determination of -nitrosodimethylamine in metformin hydrochloride and its preparations by high performance liquid chromatography-tandem mass spectrometry].
Se pu = Chinese journal of chromatography
Nov 8, 2020
A method was established for the determination of -nitrosodimethylamine (NDMA) in metformin hydrochloride active pharmaceutical ingredient (API) and preparation samples by high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). ...
Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Jan 1, 2018
With the maturation of metabolomics science and proliferation of biobanks, clinical metabolic profiling is an increasingly opportunistic frontier for advancing translational clinical research. Automated Machine Learning (AutoML) approaches provide ex...
Impact of metformin on serum prostate-specific antigen levels: Data from the national health and nutrition examination survey 2007 to 2008.
Medicine
Dec 1, 2017
PURPOSE: A possible association between metformin use and the development of prostate cancer (PCa) has been reported. However, there is limited information on the impact of long-term metformin use on serum prostate-specific antigen (PSA) levels. We i...
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