Artificial intelligence promises vast opportunities for economic and societal benefits in the pharmaceutical industry. This conference provides an comprehensive view of the role that AI 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 thedevelopment of innovative business solutions.

Key Practical Learning Points of the Summit:

•     Understanding the role of artificial intelligence in the pharmaceutical industry
•     The current state of AI technologies
•     Challenges and issues for implementing AI systems
•     Establishing evaluation standards and benchmarks
•     Adjusting pharmaceutical business models to incorporate AI technologies
•     New industry entrants: possibilities for strategic collaborations, partnerships, and alliances
•     Opportunities for R&D: time and cost efficiency, process optimization
•     Refining the drug discovery and development process
•     Lead optimization
•     Data integrity, governance and control
•     What’s next for computer assisted interventions and medical imaging analysis?
•     Proactive frameworks for predictive analysis
•     Risk management models and risk minimization
•     Business-Academia partnerships
•     Utilizing Big-data to enable AI capabilities

Who Should Attend:

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

•     Data-science
•     Artificial Intelligence
•     Machine-learning
•     Drug discovery and development
•     Deep-learning
•     Predictive analytics
•     Data-analytics
•     Pre-clinical trials
•     Clinical trials
•     Research & Development
•     Medical imaging
•     Bio-technology
•     Bio-informatics
•     Clinical innovation
•     Scientific computing
•     Drug design
•     Computational screening

Target Audience:

•     Pharmaceutical companies
•     Health-care companies
•     Biomedical companies
•     Biotech companies
•     AI and Machine-learning companies
•     Data-analytics companies
•     Academia and research institutions
•     Hospitals


•     What AI really is: understanding AI, machine-learning, deep-learning and neural networks
•     The current state of AI technologies for the pharmaceutical industry
•     The use of AI in pre-clinical and clinical development
•     What’s next for medical imaging analysis and computer-aided diagnostics?
•     Accelerating the adoption of AI
•     Risk management models and risk minimization
•     Utilizing AI for next-generation therapeutics
•     Utilizing big-data to enable AI capabilities
•     The use of AI in pre-clinical and clinical development
•     Evaluating the potential for drug-to-drug interaction
•     Patient support and personalization
•     New possibilities for predictive analytics
•     AI use drug toxicity analysis


•     The role of AI in the drug discovery and development process
•     Lead optimization
•     Process, time and cost optimization for efficiency
•     Compound and target identification improvements
•     Compound screening and lead identification
•     Design and augmentation possibilities with AI
•     Real-time defect detection: insight into compound analysis
•     Decreasing research and development expenditures
•     Automating molecule design


•     Data control, regulation and governance
•     Data integrity and quality
•     Establishing evaluation standards and benchmarks
•     Meeting stringent regulations in drug development: transparent algorithms
•     Innovation VS implementation VS realization
•     Introducing data science talent into the pharmaceutical industry
•     Creating effective data-silos and encouraging a data-centric view


•     Developing and implementing new business models for AI
•     Economic analysis: is the pharmaceutical industry in a state of crisis?
•     The impact of new entrant high-tech businesses in the pharmaceutical industry: strategic partnerships, acquisitions, collaborations and alliances
•     Developing internal infrastructure and expertise for AI application
•     Business-Academia partnerships (MLPDS)
•     Strategic and investment implications


For any enquiry on regards to special offers & group discounts please contact us directly at:


Conference overview

Nowadays life science innovation is the top priority for researchers and bioengineers as digital technology, big data and Internet are constantly evolving each day. Digital Technology is changing medics’ and patients’ experience of healthcare on a daily basis as well.

Global Forum on Life Science Innovation with New Business and R&D Models will serve as a business-networking and collaborative platform, and will bring together top scientists, researchers, innovators, start-ups and entrepreneurs from pharma, biotech and med-tech companies all over the world.

The main goal of this event is to establish and emphasize a cost-effective and open-market way for the balance between scientific research and advanced technology through effective business and R&D models.

 Key Topics

  • New Innovation Models: Global Crowdsourcing and Local Incubation of the Brightest Ideas and Talents
  • NanoMal: A Point-of-Care Device for Malaria Diagnosis and Drug Resistance Status
  • Collaborations in Drug Discovery with Bayer AG
  • Implantable: Innovation in Miniaturisation, “Deep Brain Stimulation Devices”, Advanced Implantable Cardiac Devices, Left Ventricular Assist Devices
  • Partnering with Giants: How Emerging Companies can forge Win-Win Alliances with Life Science Giants via Open Innovation
  • LIVE DEMO: A Chip Implantation by Biohacker Live on Stage
  • Big Data for Small Bugs – Developing an Integrated Knowledge Model for AMR Control
  • Dementia Research: Harnessing the Best of the Industry & Academia
  • What Does it take to be Innovative in Pharma – from New Drug discovery to Accelerating Medicines to Patients
  • 3D Printing: 3D Printed Soft Living Tissue, 4D Wind Pipes, 3D Printing for Medical Research
  • Personalised Genomics: CRISPR, Genetic Transformation, Detecting Resistance Genes

Who should be attending

Vice-Presidents, General Managers, Directors, Heads, Managers of:

  • Innovation
  • Research and Development
  • R&D Innovation
  • Contract Risk Management
  • Research Partnerships
  • Open Innovation
  • Clinical Open Innovation
  • Technical Department
  • Innovation Technologies
  • Technology
  • Projects
  • Operations Department
  • Investment
  • Principal Scientists

Target audience

  • Pharmaceuticals
  • Life Science
  • Biotechnology
  • Medical Devices
  • Med-tech
  • Bioelectronics
  • Regulators
  • Academia representatives
  • Universities

Why you need to attend?

This Global Forum on Life Science Innovation with New Business and R&D Models for Pharma, Med-tech and Biotech Industries provides the new opportunities and features for delegates to gain the following:

  • Business-network and collaborate with senior industry experts from the leading Life Science, Pharma, Med-tech, Biotech, Bioelectronics and Medical Devices industries
  • Attend the interactive brainstorming sessions to be a part of the open-minded discussions, debates, simulations task and games about the global R&D innovation models and trends
  • Hear about current trends in Nanotechnology: Wearable vs. Implantable
  • Understand Scientific Scaling and Execution of Medical Innovation
  • Discover sufficient Strategies for Innovative Collaboration Strategies
  • Learn about Cost-Effective and Cost-Saving strategies in Medical research
  • Get the opportunity of participating in Out-the-Box Debates, where you can hear answers to your questions

Media Partners

Copyright 2019 © BSG. All Rights Reserved. Web Design by OlivSEO. Terms and Conditions | Privacy Policy