Latest AI and machine learning research in diabetes for healthcare professionals.
Sarcopenia is common in type 2 diabetes (T2D), but whether sarcopenia-associated transcriptomic features can be detected in diabetic skeletal muscle remains unclear. A machine-learning signature combining 26 gene-expression features and one ssGSEA-derived aggregate feature was developed in GSE111016 and GSE226151 and independently evaluated in GSE111010. The frozen signature was projected onto T2D...
BACKGROUND: AI-driven clinical systems can improve diagnosis, prognosis, and resource allocation, but they may reproduce disparities encoded in historical health care data. Existing mitigation methods typically target a single source of bias, while clinical datasets often contain interacting representation, proxy, integrity, and temporal biases. OBJECTIVE: This study aims to develop and systematic...
OBJECTIVE: Cervical spondylotic myelopathy (CSM) is a leading cause of spinal cord dysfunction requiring surgical intervention. Prolonged length of st...
BACKGROUND: As the prevalence of diabetes rises, diabetic kidney disease (DKD) has become a leading cause of end-stage renal disease. Big data analysi...
OBJECTIVES: Medication adherence remains a major challenge in the management of type 2 diabetes (T2D), especially in middle-income countries such as M...
Diabetic Retinopathy (DR) affects millions of people worldwide, but screening at population-scale is still limited by the lack of specialists and the ...
BACKGROUND: Despite the effectiveness of lifestyle multidisciplinary (LMD) weight loss interventions in pediatric obesity, outcomes remain variable be...
INTRODUCTION: Hereditary transthyretin amyloidosis (ATTRv) is a rare progressive, potentially life-threatening multisystem disorder caused by mutation...
Integrating proteomic and metabolomic data is essential for understanding complex diseases, yet current approaches that rely primarily on statistical ...
Drug repurposing facilitates the discovery of novel therapies by identifying alternative indications for clinically approved drugs. However, many exis...
PURPOSE: This study aimed to identify the signature genes that mediate the effects of type 2 diabetes (T2D) on coronary artery bypass grafting (CABG),...
In recent years, high dimensional omics analyses have become more commonplace for investigating complex biological systems. Typically, these studies a...
AIMS: To develop and validate a machine learning model incorporating continuous glucose monitoring (CGM) metrics to predict 3-month glycemic target ac...
Accelerated brain aging has been reported in diabetes, but its links with diabetic peripheral neuropathy (DPN) and neuropathic pain remain unclear. We...
Diabetic macular edema (DME) is a leading cause of vision impairment worldwide. While aqueous humor (AH) proteomics holds promise for uncovering disea...
BACKGROUND: Sustaining self-management is critical for optimizing clinical outcomes in individuals with type 2 diabetes mellitus (T2DM). Although digi...
Manufacturing scalability and cost efficiency of Lentiviral vector (LV) production for gene therapy are hampered by slow offline detection of critical...
Cognitive impairment is a common non-motor sym.ptom of neurodegenerative Parkinson's disease (PD). However, the onset and severity of cognitive impair...
Pathogenic biofilms are a critical barrier to wound healing, driving infection persistence, delayed tissue repair, and antimicrobial resistance (AMR) ...
Diabetic foot ulcers are a major complication of diabetes characterized by persistent inflammation and impaired tissue repair, in part driven by aberr...