GET THE APP

Advances in precision medicine for type 2 diabetes: Integrating genomics, metabolomics, and digital biomarkers
Journal of Diabetic Complications & Medicine

Journal of Diabetic Complications & Medicine

ISSN: 2475-3211

Open Access

Advances in precision medicine for type 2 diabetes: Integrating genomics, metabolomics, and digital biomarkers


5th International Conference on Endocrinology and Diabetes

August 11-12, 2025 Webinar

Maria Elena Ruiz

University of Barcelona, Spain

Posters & Accepted Abstracts: J Diabetic Complications Med

Abstract :

Type 2 diabetes (T2D) represents one of the most pressing global health challenges, driven by complex interactions between genetics, metabolism, lifestyle, and environmental exposures. Traditional management strategies, while effective for many, often fail to address the heterogeneity of disease phenotypes across diverse populations. Precision medicine has emerged as a transformative approach, enabling individualized therapeutic decisions based on molecular, clinical, and digital health data. This presentation provides an in-depth analysis of recent advancements in genomics, metabolomics, and digital biomarkers in the context of T2D. Genomic profiling has enabled the identification of high-risk alleles and polygenic risk scores that refine early-diagnosis models. Metabolomic signatures, particularly lipidomic and amino acid profiles, have shown strong predictive value for insulin resistance, beta-cell dysfunction, and therapeutic responsiveness. The rise of digital biomarkers—continuous glucose monitoring (CGM), wearable metabolic sensors, and AIdriven behavioral analytics—has further enhanced the capacity to personalize treatment plans. Integrating these modalities allows clinicians to categorize patients into clinically meaningful metabolic subgroups, optimize drug selection, and predict treatment outcomes with improved accuracy. This abstract summarizes evidence from recent clinical trials exploring genotype-guided metformin therapy, metabolomic-based risk stratification, and AI-supported insulin titration systems. The results demonstrate significant improvements in glycemic control, treatment adherence, and long-term complication prevention. By synthesizing current knowledge, this session will highlight the potential of precision endocrinology to reshape diabetes management and provide practical strategies for adapting these innovations into routine clinical practice.

arrow_upward arrow_upward