5th Annual Pharma AI Summit

Key facts

Date: 26 — 27 September, 2024

Place: London

Conference Overview

Artificial intelligence holds the promise of delivering extensive economic and societal benefits within the pharmaceutical industry. This summit offers a comprehensive exploration of AI’s pivotal role in pharmaceuticals, encompassing drug discovery and strategic considerations amid industry-shaping changes.

In an era marked by disruptive innovation, the key to success lies in a company’s capacity to adapt, innovate, and collaborate. The 5^th Annual Pharma AI Summit serves as a dynamic platform, fostering valuable industry relationships and creating opportunities for collaboration to cultivate innovative business models.

Participants will gain insights into the latest advancements through engaging case studies and interactive panel discussions, featuring pioneer companies at the forefront of Pharma AI. This event provides a unique opportunity for attendees to stay abreast of developments and actively contribute to the ongoing dialogue surrounding the intersection of artificial intelligence and the pharmaceutical landscape.

Key topics

Understanding how AI algorithms can accelerate the drug discovery process
Implementing AI-driven target identification strategies for more effective drug development
Leveraging predictive analytics to optimise patient recruitment and retention in clinical trials
Exploring real-time monitoring and adaptive trial design for more efficient and cost-effective trials
Implementing automated signal detection and risk management using machine learning
Utilising natural language processing for efficient adverse event reporting and pharmacovigilance
Learning from case studies showcasing successful integration of AI in pharmaceutical processes
Overcoming implementation challenges and building a data-driven culture within pharmaceutical organisations
Adhering to regulatory standards and ethical guidelines in AI-driven clinical decision support
Implementing genomic data analytics for personalised treatment strategies
Ensuring patient data privacy in AI applications within the pharmaceutical sector
Implementing cybersecurity best practices to protect AI systems and sensitive healthcare data
Gaining insights into emerging trends and innovations in the application of AI in pharmaceuticals
Understanding the potential impact of future developments on the industry and research landscape