Vol. 1 No. 2 (2026)

Articles

• An Explainable Machine Learning Framework for Early Cardiovascular Disease Risk Prediction Using Routine Clinical Indicators

  Dr. Ajay Bhengra

  01-15

  • PDF

• Clinical Predictors and Long-Term Outcomes in Patients with Acute Pericarditis: A Prospective Observational Study

  Deena Mudawi

  16-30

  • PDF

• Clinical Features, Therapeutic Interventions, and Prognostic Outcomes of Plasma Cell-Associated Pericardial Disease in Multiple Myeloma

  Dr. Nigilesh Sundar. M

  31-42

  • PDF

• Treatment Patterns And Survival Outcomes Of Multiple Myeloma-Associated Pericardial Effusion And Cardiac Tamponade

  Swati Negi, Varsha Mary Khalkho

  43-54

  • PDF

• Development and Validation of a Machine Learning Framework for Cardiovascular Disease Risk Stratification Using Clinical, Anthropometric, and Lifestyle Factors

  Dr Rajkiran Tiku (PT)

  55-66

  • PDF

• Pericardial Diseases in Clinical Practice: Current Diagnostic Strategies, Therapeutic Advances, and Future Directions

  Dina Sameh Soliman

  67-84

  • PDF