Learn about the FDA Adverse Event Reporting System (FAERS), a database for post-marketing drug safety surveillance and detecting new adverse event signals.

An overview of AI in pharmacovigilance, detailing its use in signal detection, case processing automation, and managing regulatory & ethical considerations.

Explore real-world case studies of how pharmaceutical companies are leveraging big data, AI, and cloud computing across the drug lifecycle - from discovery to marketing - with measurable outcomes and lessons learned.

Comprehensive analysis of big data technologies used in pharmaceutical industry, including Hadoop, Spark, cloud data warehouses, NoSQL databases, and specialized genomics platforms, with detailed comparisons and implementation examples.

Comprehensive overview of Oracle's role in the pharmaceutical industry, covering their Health Sciences solutions, cloud infrastructure, compliance features, and case studies of successful implementations at major pharma companies.

A comprehensive overview of the most influential open-source software tools transforming pharmaceutical research, development, and manufacturing, from cheminformatics to clinical data management and regulatory compliance.