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Chapter 1: Introduction to Pharmacovigilance: Ensuring Medication Safety.
Chapter 2: Drug Safety Signal Detection and management in Pharmacovigilance.Chapter 3: Databases and Tools for Signal Detection of Drugs in Post-Marketing Surveillance.Chapter 4: Role of Electronic medical records, Social Media, Claims data, distributed data networks in signal analysis.Chapter 5: Uncovering False Alarms: Examining Biases and Confounders in Disproportionality Analysis.Chapter 6: Role of Medical Coding in Signal Detection.
Chapter 7: Regulatory Aspects in Signal Detection and Assessment.
Chapter 8: Disproportionality Methods for Signal Detection in Pharmacovigilance.
Chapter 9: Bayesian methods of signal detection.
Chapter 10: Subgroup and sensitivity analysis.
Chapter 11: Causality Assessment of ICSRs.
Chapter 12: Signal Analysis of Drug-Drug Interaction Using Spontaneous Reporting Method.
Chapter 13: Use of network pharmacological approaches in signal analysis.
Chapter 14: Docking studies in signal analysis: An overview.
Chapter 15: Molecular Dynamics simulations in signal validation.
Chapter 16: Identification and validation of novel signal of drugs using FAERS database: A case study.
Chapter 17: Molecular docking and molecular dynamics in Signal analysis: A case study.
Chapter 18: Available Databases and Tools for signal detection of vaccines.
Chapter 19: Identification and validation of signals associated with vaccines.Chapter 20: Neurological and behaviour alterations with COVID-19 vaccines using Vaccine Adverse Event Reporting System (VAERS): A Retrospective study.
Chapter 21: Pharmacovigilance based drug repurposing via inverse signals.Chapter 22: Prospective role of preclinical experimentation in validating the safety signals.Chapter 23: Role of Artificial Intelligence in Signal Detection.
24. Index.