AIMC Topic: Diabetic Foot

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Multi-omics and experimental validation identify methylation-related genes and METTL16 as key regulators in diabetic foot ulcer pathogenesis.

Scientific reports
Diabetic foot ulcers (DFUs) are a severe complication of diabetes, characterized by impaired wound healing, chronic inflammation, and tissue degradation. N-methyladenosine (mA), has emerged as a critical regulator in gene expression and cellular func...

AI-Powered Thermography for Diabetic Foot Risk Stratification: Multicenter Cross-Sectional Study.

JMIR formative research
BACKGROUND: Diabetic foot complications are among the most severe and costly outcomes associated with diabetes, with high prevalence particularly in the Middle East and North Africa region. Current screening tools are often limited by subjectivity, i...

LETM2 regulates mitochondrial function and autophagy in diabetic foot ulcers: implications for oxidative stress and therapeutic targeting.

Functional & integrative genomics
Background A major complication of diabetes, diabetic foot ulcers (DFU), has been linked to mitochondrial dysfunction and oxidative stress. Here, we performed analysis of RNA sequencing data from publicly available databases, including single-cell as...

PTA-DFS study: design of a randomised controlled trial assessing the effects of early percutaneous transluminal angioplasty on the healing of diabetic foot ulcers in persons with type 2 diabetes.

BMC cardiovascular disorders
BACKGROUND: Peripheral arterial disease (PAD) and local infections increase the risk of non-healing diabetic foot ulcers (DFU) and limb amputations but are treatable by percutaneous transluminal angioplasty (PTA), local wound care and antibiotic ther...

Machine learning model to classify chronic leg wounds and identify pyoderma gangrenosum.

BMJ health & care informatics
STUDY OBJECTIVES: Chronic wounds represent a significant economic and personal burden. For their successful treatment, the causes must be known and treated. Wounds caused by pyoderma gangrenosum (PG), a rare inflammatory skin disease, are often misdi...

Evaluation of Machine Learning Model Performance in Diabetic Foot Ulcer: Retrospective Cohort Study.

JMIR medical informatics
BACKGROUND: Machine learning (ML) has shown great potential in recognizing complex disease patterns and supporting clinical decision-making. Diabetic foot ulcers (DFUs) represent a significant multifactorial medical problem with high incidence and se...

Diabetic Foot Ulcer Classification Models Using Artificial Intelligence and Machine Learning Techniques: Systematic Review.

Journal of medical Internet research
BACKGROUND: Diabetes-related foot ulceration (DFU) is a common complication of diabetes, with a significant impact on survival, health care costs, and health-related quality of life. The prognosis of DFU varies widely among individuals. The Internati...

DFU_DIALNet: Towards reliable and trustworthy diabetic foot ulcer detection with synergistic confluence of Grad-CAM and LIME.

PloS one
Diabetic Foot Ulcer (DFU) is a major complication of diabetes which needs early detection to help in timely treatment for preventing future serious consequences. Due to peripheral neuropathy, high blood glucose levels, and untreated wounds, DFUs can ...

Diabetic foot prevention, assessment, and management using innovative smart wearable technology: a systematic review.

Journal of neuroengineering and rehabilitation
The diabetic foot (DF) is a chief culprit behind significant preventable morbidity and mortality in type-2-diabetes patients and the leading cause of non-traumatic lower-extremity amputations. Despite the clinically well-understood pathways to ulcera...

Unraveling the oxidative stress landscape in diabetic foot ulcers: insights from bulk RNA and single-cell RNA sequencing data.

Biology direct
BACKGROUND: Oxidative stress plays a crucial role in the development of diabetic foot ulcers (DFU). However, its underlying mechanisms are not fully understood. The purpose of this study was to use bioinformatics and preliminary validation methods to...