AIMC Topic: Diabetes Mellitus, Type 2
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A deep learning model for screening type 2 diabetes from retinal photographs.
Nutrition, metabolism, and cardiovascular diseases : NMCD
Jan 13, 2022
BACKGROUND AND AIMS: We aimed to develop and evaluate a non-invasive deep learning algorithm for screening type 2 diabetes in UK Biobank participants using retinal images.
Panoramic tongue imaging and deep convolutional machine learning model for diabetes diagnosis in humans.
Scientific reports
Jan 7, 2022
Diabetes is a serious metabolic disorder with high rate of prevalence worldwide; the disease has the characteristics of improper secretion of insulin in pancreas that results in high glucose level in blood. The disease is also associated with other c...
Emulating complex simulations by machine learning methods.
BMC bioinformatics
Nov 12, 2021
BACKGROUND: The aim of the present paper is to construct an emulator of a complex biological system simulator using a machine learning approach. More specifically, the simulator is a patient-specific model that integrates metabolic, nutritional, and ...
Detection of diabetes from whole-body MRI using deep learning.
JCI insight
Nov 8, 2021
Obesity is one of the main drivers of type 2 diabetes, but it is not uniformly associated with the disease. The location of fat accumulation is critical for metabolic health. Specific patterns of body fat distribution, such as visceral fat, are close...
Intelligent type 2 diabetes risk prediction from administrative claim data.
Informatics for health & social care
Oct 21, 2021
Type 2 diabetes is a chronic, costly disease and is a serious global population health problem. Yet, the disease is well manageable and preventable if there is an early warning. This study aims to apply supervised machine learning algorithms for deve...
Characterizing shared and distinct symptom clusters in common chronic conditions through natural language processing of nursing notes.
Research in nursing & health
Oct 12, 2021
Data-driven characterization of symptom clusters in chronic conditions is essential for shared cluster detection and physiological mechanism discovery. This study aims to computationally describe symptom documentation from electronic nursing notes an...
Mulberry leaves ameliorate diabetes via regulating metabolic profiling and AGEs/RAGE and p38 MAPK/NF-κB pathway.
Journal of ethnopharmacology
Oct 6, 2021
ETHNOPHARMACOLOGICAL RELEVANCE: Mulberry leaves have been used as traditional hypoglycemic medicine-food plant for thousand years in China. According to traditional Chinese medicine theory, type 2 diabetes mellitus (T2DM) belongs to the category of X...
Hypoglycemic Agents
Hep G2 Cells
Plant Leaves
Diabetes Mellitus, Type 2
NF-kappa B
Mice
p38 Mitogen-Activated Protein Kinases
Plant Extracts
Flavonoids
Humans
Diabetes Mellitus, Experimental
Animals
Male
Polysaccharides
Morus
Alkaloids
3T3-L1 Cells
Glycation End Products, Advanced
Receptor for Advanced Glycation End Products
The Importance of Close Follow-Up in Patients with Early-Grade Diabetic Retinopathy: A Taiwan Population-Based Study Grading via Deep Learning Model.
International journal of environmental research and public health
Sep 16, 2021
(1) Background: Diabetic retinopathy (DR) can cause blindness. Current guidelines on diabetic eye care recommend more frequent eye examinations for more severe DR to prevent deterioration. However, close follow-up and early intervention at earlier st...
Artificial Intelligence (AI) approach to identifying factors that determine systolic blood pressure in type 2 diabetes (study from the LOOK AHEAD cohort).
Diabetes & metabolic syndrome
Sep 11, 2021
BACKGROUND AND AIMS: Artificial Intelligence (AI) methods have recently become critical for research in diabetes in the era of big-data science.
Translating polygenic risk scores for clinical use by estimating the confidence bounds of risk prediction.
Nature communications
Sep 6, 2021
A promise of genomics in precision medicine is to provide individualized genetic risk predictions. Polygenic risk scores (PRS), computed by aggregating effects from many genomic variants, have been developed as a useful tool in complex disease resear...
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