Diagnostics, 2021 Impaired rate-dependent depression of the Hoffman reflex (HRDD) is a potential biomarker of impaired spinal inhibition in patients with painful diabetic neuropathy.
Anne Worthington +10 more
doaj +1 more source
Prospects for the application of transcranial magnetic stimulation in diabetic neuropathy
Neural Regeneration Research, 2021 Encouraging results have been reported for the use of transcranial magnetic stimulation-based nerve stimulation in studies of the mechanisms of neurological regulation, nerve injury repair, and nerve localization.
Xi Xu, Dong-Sheng Xu
doaj +1 more source
Changes in the central nervous system in diabetic neuropathy
Heliyon, 2023 One of the most common chronic complications arising from diabetes is diabetic peripheral neuropathy. Depending on research statistics, approximately half of the people who have diabetes will suffer from diabetic peripheral neuropathy over time, which ...
Yarui Zang +3 more
doaj
Challenges in Diabetic Micro-Complication Management: Focus on Diabetic Neuropathy
International Journal of Translational Medicine, 2021 The progression of diabetes leads to macro and microvascular complications, including diabetic neuropathy, which is the most prevalent microvascular complication with diabetes.
Prawej Ansari +3 more
doaj +1 more source
Hubungan Antara Lama Menderita Diabetes Melitus Tipe 2 Dengan Terjadinya Neuropati Sensorik Diabetik Di RSUD Salatiga [PDF]
, 2015 Background: Type 2 Diabetes Mellitus occurs as a result of the body's resistance to the effects of insulin produced by the pancreatic cells. Type 2 Diabetes Mellitus is the largest case in Indonesia.
, dr. Erika Diana Risanti +2 more
core
Glucose availability and sensitivity to anoxia of isolated rat peripheral nerve [PDF]
, 1991 The contrast between resistance to ischemia and ischemic lesions in peripheral nerves of diabetic patients was explored by in vitro experiments. Isolated and desheathed rat peroneal nerves were incubated in the following solutions with different glucose ...
DYCK P. J. +11 more
core +1 more source
Evaluating Performance of Machine Learning Models for Diabetic Sensorimotor Polyneuropathy Severity Classification using Biomechanical Signals during Gait [PDF]
arXiv, 2022 Diabetic sensorimotor polyneuropathy (DSPN) is one of the prevalent forms of neuropathy affected by diabetic patients that involves alterations in biomechanical changes in human gait. In literature, for the last 50 years, researchers are trying to observe the biomechanical changes due to DSPN by studying muscle electromyography (EMG), and ground ...
arxiv
Automatic detection of rare pathologies in fundus photographs using few-shot learning [PDF]
Medical Image Analysis, Volume 61, April 2020, 101660, 2019 In the last decades, large datasets of fundus photographs have been collected in diabetic retinopathy (DR) screening networks. Through deep learning, these datasets were used to train automatic detectors for DR and a few other frequent pathologies, with the goal to automate screening.
arxiv +1 more source
Journal of Diabetes Investigation, 2021 Aims/Introduction Non‐alcoholic fatty liver disease and type 2 diabetes mellitus are closely related, and often occur simultaneously in patients. Type 2 diabetes increases the risk of diabetic peripheral neuropathy, resulting in intolerable pain and ...
Jinya Huang +9 more
doaj +1 more source
Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photos [PDF]
Ophthalmology (2019), 2018 Glaucoma is the leading cause of preventable, irreversible blindness world-wide. The disease can remain asymptomatic until severe, and an estimated 50%-90% of people with glaucoma remain undiagnosed. Glaucoma screening is recommended for early detection and treatment.
arxiv +1 more source