Applying GAMP5 to AI/ML based systems
After our successful event in April 2023 on AI/ML we get many requests to continue on this subject. We are very happy that Dr. Tom Williams is available for our next Knowledge Café to present a practitioner’s guide to AI/ML systems. The Knowledge Café will include a Q&A, please enter your question(s) during the registration.
The Teams invite will be send about 1 day before the event.
Event Properties
| Event Date | 22-Feb-2024 12.30 |
| Capacity | 50 |
| Registered | 50 |
| Individual Price | Free |
| Location | Online - Teams |
Agendas
| 12.30 |
Applying the GAMP 5 life-cycle approach to the Artificial Intelligence / Machine Learning based Systemsby: Tom Williams A practitioner’s guide to AI/ML systems and how to apply the GAMP-5 methodology throughout their lifecycle to ensure quality, efficacy and reduce risk to patients and of project failure. This is a whistle-stop tour through the complete lifecycle of AI/ML system, from concept through project to operation, identifying the key milestones and decisions that determine quality and success. The theoretical description will be interleaved with real-world case studies to illustrate and aid explanation of the concepts. This talk aims to demonstrate that the potential downsides of AI systems can be overcome by best practice risk-based approach to the development and operation. |
| 13:00 |
Questions & AnswersOpen discussion |
Speakers
Tom Williams
Chief Technical Officer of Manchester Imaging Ltd
Dr. Tom Williams has more than 30 years of experience of AI in both academic and commercial sectors, and is a practitioner of cutting-edge computer vision and machine learning algorithms. As the Chief Technical Officer of Manchester Imaging Ltd., he has developed multiple Software as a Medical Device (SaMD) AI products. Manchester Imaging develop their own AI products and undertake contract work with other companies to identify and realize the benefits of AI/ML in a range of healthcare applications such as drug discovery, disease detection diagnosis across diverse clinical domains including skin oncology, musculoskeletal, and osteoporosis. Dr. Williams is a key opinion leader at the forefront of devising best practice in the development of AI/ML solutions in the healthcare sector to maximize patient benefits and minimize risk. He is a GAMP 5 2nd Ed Contributing Author and has been an invited speaker and panellist at multiple ISPE meetings