Advances in precision medicine and personalized diabetes care are revolutionizing treatment strategies by tailoring interventions based on genetic, metabolic, and environmental factors. Unlike conventional one-size-fits-all approaches, personalized therapies utilize genetic markers, continuous glucose monitoring, and artificial intelligence to predict individual responses to treatment. Pharmacogenomics plays a crucial role in determining optimal drug efficacy and minimizing adverse effects, while lifestyle interventions are customized to enhance insulin sensitivity and metabolic health. Additionally, machine learning algorithms refine predictive analytics, identifying high-risk patients and optimizing preventive strategies. By integrating molecular profiling with real-time health data, precision medicine is paving the way for more effective and sustainable diabetes management.
Title : Diabetes reduction (pre-diabetes and type 2) with integrative medicine
F Buck Willis, IUHS School of Medicine, Saint Kitts and Nevis
Title : Adipose MTP deficiency protects against hepatic steatosis by upregulating PPAR activity
Sujith Rajan, NYU Long Island School of Medicine, United States
Title : Does winter melon (Benincasa hispida) improves nutritional values and ameliorating glycaemic parameters?
Wan Rosli Wan Ishak, Universiti Sains Malaysia, Malaysia
Title : Clinical applications of monitoring unmethylated insulin cfDNA associated with beta-cell death for diabetes and metabolic diseases
Clifford Morris, Kihealth, United States
Title : Diabetes and migration: Impact of internal displacement on the prevalence and management of diabetes in Les Cayes, South Haiti (2022-2024)
Berger Saintius, Field Epidemiology Training Program (FETP), Haiti
Title : Correlation between food insecurity and diabetes in the commune of Les Cayes (2021-2024)
Djeamsly Salomon, Field Epidemiology Training Program (FETP), Haiti