Results 111 to 120 of about 1,762,573 (214)

Is plantar thermography a valid digital biomarker for characterising diabetic foot ulceration risk? [PDF]

open access: yesarXiv
Background: In the absence of prospective data on diabetic foot ulcers (DFU), cross-sectional associations with causal risk factors (peripheral neuropathy, and peripheral arterial disease (PAD)) could be used to establish the validity of plantar thermography for DFU risk stratification.
arxiv  

Predictors of weight reduction effectiveness of SGLT2 inhibitors in diabetes mellitus type 2 patients. [PDF]

open access: yesFront Endocrinol (Lausanne), 2023
Danpanichkul P   +3 more
europepmc   +1 more source

Microparticles in type 2 diabetes mellitus [PDF]

open access: yesJournal of Thrombosis and Haemostasis, 2005
DAVI', Giovanni, FERRONI P.
openaire   +4 more sources

Analysis and Mortality Prediction using Multiclass Classification for Older Adults with Type 2 Diabetes [PDF]

open access: yesarXiv
Designing proper treatment plans to manage diabetes requires health practitioners to pay heed to the individuals remaining life along with the comorbidities affecting them. Older adults with Type 2 Diabetes Mellitus (T2DM) are prone to experience premature death or even hypoglycaemia.
arxiv  

Betatrophin in type 2 diabetes mellitus

open access: yesJournal of Mahatma Gandhi Institute of Medical Sciences, 2013
Omprakash Gupta
doaj   +1 more source

Genomic variants associated with type 2 diabetes mellitus among Filipinos.

open access: yesPLoS ONE
Type 2 diabetes mellitus leads to debilitating complications that affect the quality of life of many Filipinos. Genetic variability contributes to 30% to 70% of T2DM risk.
Eva Maria C Cutiongco-de la Paz   +5 more
doaj   +1 more source

A Voice-based Triage for Type 2 Diabetes using a Conversational Virtual Assistant in the Home Environment [PDF]

open access: yesarXiv
Incorporating cloud technology with Internet of Medical Things for ubiquitous healthcare has seen many successful applications in the last decade with the advent of machine learning and deep learning techniques. One of these applications, namely voice-based pathology, has yet to receive notable attention from academia and industry.
arxiv  

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