Pathology Primers

Disease overviews for pharmacometricians covering pathophysiology, biomarkers, treatment regimens, and PK/PD modeling approaches.

Concise disease overviews for pharmacometricians — pathophysiology, biomarkers, drug regimens, and modeling approaches.

Autoimmune Diseases GCA, psoriasis, and rheumatoid arthritis.

Viral Infections HIV/AIDS and viral disease pharmacology.

Bacterial Infections Tuberculosis and antibacterial treatment strategies.

Cancer Lung and skin cancer pharmacology and treatment.

Neurological Diseases Alzheimer, Parkinson, and schizophrenia.

Diabetes Metabolic disease, glucose regulation, and antidiabetic drugs.

Disease facts that are good to know

Each primer provides a concise, high-level summary of a disease relevant to pharmacometricians, focusing on biomarkers, drug regimens, and modeling approaches.

Typical structure for disease “XYZ”:

  1. What is XYZ?
  • Disease definition & pathophysiology
  • Commonly used Pharmacodynamic (PD) Models (e.g., disease progression models, target engagement)
  1. Patient characteristics
  • Typical patient population
  • Risk factors & disease progression indicators
  1. Diagnosis & biomarkers
  • Key Clinical Biomarkers (e.g., lab values, thresholds, imaging)
  • Disease Severity Classification (if applicable, e.g., staging systems)
  1. How can XYZ be treated?
  • Treatment aim (PD-targets)
  • Common Drug Classes & Regimens
    • Mechanism of Action (MoA)
    • First-line vs. second-line treatments
    • Dose Adjustments (e.g., renal/liver impairment, pediatrics)
  • Commonly used PK-models