4th Annual Pharma AI Summit

Decoding the Future Trajectory of Pharmaceutical Industry with Artificial Intelligence

26 — 27 October, 2023 London

The event has already occured.

Key facts

Date: 26 — 27 October, 2023

Place: London

Conference Overview

Artificial Intelligence promises vast opportunities for economic and societal benefits in the pharmaceutical industry, life sciences and healthcare including care delivery with digital health. As data applications supported by AI become more advanced, the whole healthcare value chain has been affected. New forms of drug discoveries and pharma workforces are going to evolve. At the same time, the collection of real-world evidence using AI platforms will alter the role of patients. Among these new technologies, it is important to follow up the developments and discoveries effecting pharmaceutical industry.

The 4th Annual Pharma AI Summit will be taking place with more interactive sessions and leading companies in the pharmaceutical industry. Business leaders will talk about one of the most significant topics for the sector, Artificial Intelligence, which offers vast opportunities for drug discovery and clinical trial processes to produce quality health solutions in a timely and efficient manner.

This conference provides a comprehensive view of the role that Artificial Intelligence plays, the key challenges and opportunities, as well as the strategic perspective on industry change. In times of disruptive innovation, success is based on a company’s ability to adapt, innovate and collaborate. This event therefore serves as a platform that fosters industry relationships, providing the opportunity for the development of innovative business solutions. We invite you to discuss and debate these challenges in a dialogue amongst top professionals in Pharma and Artificial Intelligence.

Key topics

  • AI and the clinical trial design and optimisation opportunities
  • Virtual patients, digital twins and causal disease models: paving the ground for in silico clinical trials
  • Integrating AI and Network Biology for Novel Drug Discovery
  • Defogging the scientific information overload
  • A Deep Learning Library for Sequential Claims Data
  • Studying the effects of RNA-small molecule interactions at scale
  • Structure Based Generative AI for De Novo Drug Design
  • Innovations in Patient Recruitment Planning/Forecasting and Trial Operations Optimization
  • Developing a knowledge graph framework for drug safety prediction
  • Natural Language Processing for Adverse Events Detection
  • AI & ML Data infrastructure and architecture
  • AI governance capabilities, data policies and ethics

Who should attend

Medical doctors | Research scientists | Data-scientists | CEOs| CTOs| Managers| Directors Department Heads |Biomedical |Research Engineers specializing  in pharmaceutical: 

  • Artificial Intelligence
  • Big data solutions
  • Research and development
  • Data sciences and analytics
  • Machine learning
  • Drug research
  • Drug discovery and
  • Development
  • Predictive analytics
  • Information systems
  • Pre-clinical and clinical trials
  • Medical imaging
  • Bio-informatics and technology
  • Clinical innovation
  • Scientific computing
  • Drug design
  • Computational screening and cognitive computing
  • Real-world data and evidence
  • Digital health

Target audience

  • Pharmaceutical companies
  • Healthcare companies
  • Biomedical companies
  • Biotech companies
  • AI and machine learning companies
  • Data analytics companies

Event Speakers

Jaga Virayah

VP, Head of Digital Strategy & Innovation, Medical Affairs & Pharmacovigilance

Bayer

Neeraj Goel Mittal

Senior Director - Global Data, Analytics & AI

(ViiV Healthcare) GSK

Gautam Hotti

Director of AI/ML Platform Architecture

Novartis

Peter Henstock

Machine Learning & AI Lead

Pfizer

Margi Sheth

Director, Data Policy (Data Science & AI)

AstraZeneca

Philippe Moingeon

Head of Immuno-Inflammation

Servier

Prof. Dr. Volodymyr Anisimov

Data Science Associate Director

Amgen

Marco Palladino

Head of Ethical Innovation & Privacy - EUCAN

Takeda

Dimitris Sakellariou

Senior AI Engineer, Analytics & AI, Real World Solutions

IQVIA

Rabia Khan

Founder & CEO

Serna Bio

Sherif Fahmy

Senior Scientific Innovation Director

Pfizer

Larry A. Pickett, Jr.

Executive Vice President, Chief Information and Digital Officer

Syneos Health

Nataliya Andreychuk

CEO

Viseven

Ganesh Shahane

Application Scientist | Computational Chemist

Iktos

Avgoustinos Filippoupolitis

Director, Data Science, Analytics & AI, Real World Solutions

IQVIA

Félix Balazard

Director of Optimized Development Solutions

Owkin

Remon van den Broek

Director AI Strategy and Data Science at Adelphi in Healthcare Communications

Adelphi Group

Amir Feizi

Director of Bioinformatics

Omass Therapeutics

Kamil J. Karolak

Director Data Management

Orifarm

Event location

The Conference will be taking place at Leonardo Royal London St Paul's

10 Godliman St, London EC4V 5AJ, United Kingdom

Hotel website

Silver Sponsor

Companies attending the conference

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