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 : Does winter melon (Benincasa hispida) improves nutritional values and ameliorating glycaemic parameters
Wan Rosli Wan Ishak, Universiti Sains Malaysia, Malaysia
Title : The menopausal mind: Reframing female senescence as a neuroendocrine disorder with root cause management strategies
Amy Gutman, AdventHealth; Tough Love MD, United States
Title : Diabetes reduction (pre diabetes and type 2) with integrative medicine
F Buck Willis, Christian College of Medicine, Belize
Title : Adipose MTP deficiency protects against hepatic steatosis by upregulating PPAR activity
Sujith Rajan, NYU Long Island School of Medicine, United States
Title : AI receptor binding studies reveal GPR146 conformational states across diabetic phenotypes: Analysis of C peptide and insulin interactions in cholesterol metabolism cortisol regulation and the vitamin D renin angiotensin axis
David Petch, utR Biotech, Canada
Title : Comparative outcomes of antihypertensive therapy in black vs non hispanic white patients with hypertension and cardiovascular disease
Anil Harrison, Midwestern University, United States