- Offers thorough coverage of the kinetics of biomarker interaction with the biosensor surface
- Provides evidence-based approach to evaluate effectiveness
- Provides pharmaceutical chemists the possibilities and methodology in assessing the effectiveness of new drugs
- Provides the information needed for the selection of the best biomarker for a specific application
Table of Contents
Chapter 1: Introduction
Chapter 2: Modelling
Chapter 3: Detection of Cancer Biomarkers (Part I)
Chapter 4: Detection of Cancer Biomarkers (Part II)
Chapter 5: Detection of Biomarkers for Myocardial Infarction (MI)
Chapter 6: Detection of Biomarkers for Arthritis
Chapter 7: Detection of Biomarkers for Cardiovascular Diseases
Chapter 8: Detection of Glucose (for Diabetes Mellitus: DM) Part I
Chapter 9: Detection of Glucose (for Diabetes Mellitus: DM) part II
Chapter 10: Detection of Biomarkers for Systemic Lupus Mellitus Erythematosus (SLE)
Chapter 11: Detection of Biomarkers for Nervous System Diseases (Alzheimer, Huntington, Parkinson)
Chapter 12: Detection of Biomarkers for Severe Acute Respiratory Syndrome (SARS)
Chapter 13: Detection of Biomarkers for Different Diseases (Stroke marker protein, HIV infection, Hepatitis, Influenza virus, Dengue virus, Human papillomavirus, beta amyloids, Interferon Gamma for example, HIV infection in patients)