Results 41 to 50 of about 47,945 (166)
Рациональная фармакотерапия в кардиологии, 2016 The classic hypoglycemic agents include biguanides, sulfonylurea drugs, meglitinides, glitazones and alpha-glucosidase inhibitors. Modern algorithm of hypoglycemic therapy in the first step considers lifestyle modification and metformin monotherapy, the ...
A. A. Aleksandrov
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Use of bedaquiline and delamanid in diabetes patients: clinical and pharmacological considerations
Drug Design, Development and Therapy, 2016 Minhui Hu,1 Chunlan Zheng,1 Feng Gao2 1Department of Internal Medicine – Section 5, Wuhan Pulmonary Hospital (Wuhan Tuberculosis Control Institute), 2Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of ...
Hu MH, Zheng CL, Gao F
doaj
Journal of Diabetes Investigation, 2023 Aims/Introduction Clinical inertia, defined as a failure of healthcare providers to initiate or intensify treatment when indicated, is one of the challenges in achieving glycemic targets in type 2 diabetes patients. Materials and Methods Using a Japanese
Ryo Suzuki +3 more
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Adherence to Oral Hypoglycemic Agents in Hawaii
Preventing Chronic Disease, 2005 Introduction Adherence to oral hypoglycemic agents is essential to reducing the poor health outcomes of populations at high risk for developing diabetes and its chronic complications. The goal of this study was to identify characteristics of patients in
Deborah A. Taira, ScD, Rachel Lee
doaj
Hypoglycemic agents and potential anti-inflammatory activity
Journal of Inflammation Research, 2016 Vishal Kothari,1 John A Galdo,2 Suresh T Mathews3 1Department of Nutrition and Dietetics, Boshell Diabetes and Metabolic Diseases Research Program, Auburn University, Auburn, 2Department of Pharmacy Practice, 3Department of Nutrition and Dietetics ...
Kothari V, Galdo JA, Mathews ST
doaj
Antidiabetic effect of Psychotria malayana Jack in induced type 1 diabetic rat
Medisains, 2020 Background: Therapies for hyperglycemic treatment, including insulin and oral diabetes medications, have been confirmed to cause several side effects. Thus, finding new drugs with fewer side effects is of high importance.
Fairuz Fairuz +2 more
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Deep Reinforcement Learning for Closed-Loop Blood Glucose Control [PDF]
arXiv, 2020 People with type 1 diabetes (T1D) lack the ability to produce the insulin their bodies need. As a result, they must continually make decisions about how much insulin to self-administer to adequately control their blood glucose levels. Longitudinal data streams captured from wearables, like continuous glucose monitors, can help these individuals manage ...
arxiv
Ethnomedicinal survey of traditional antidiabetic plants in Baturraden and Sumbang
Medisains, 2020 Background: The scientific-based jamu development program enables the development of medicinal plants in the traditional medicine system that eventual-ly can be used in the formal healthcare system.
Wahyu Utaminingrum +2 more
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Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data [PDF]
arXiv, 2020 Continuous Glucose Monitoring (CGM) has enabled important opportunities for diabetes management. This study explores the use of CGM data as input for digital decision support tools. We investigate how Recurrent Neural Networks (RNNs) can be used for Short Term Blood Glucose (STBG) prediction and compare the RNNs to conventional time-series forecasting ...
arxiv
Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning [PDF]
arXiv, 2021 Training a multi-agent reinforcement learning (MARL) algorithm is more challenging than training a single-agent reinforcement learning algorithm, because the result of a multi-agent task strongly depends on the complex interactions among agents and their interactions with a stochastic and dynamic environment.
arxiv