This course will prepare you to navigate the multiverse of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning from a drug safety perspective with an easily understandable and practical approach.
The quest to find precise evidence to answer complex questions from biomedicine and Healthcare for Drug Safety has brought us to a major crossroads. With the exponential growth of biomedical knowledge, it is imperative that we teach machines and also learn from them. Data (Information), Connection (Knowledge) and the Tools (Software) designed to deliver these answers is the future of Drug Safety.
This course will prepare you to navigate the multiverse of AI, ML and Deep Learning from a drug safety perspective with an easily understandable and practical approach.
It will provide an excellent opportunity to discuss with an expert in this field the potential use of AI and ML in pharmacovigilance and risk management systems, and will include two demonstrations of AI-powered systems for PV management.
The course will not only provide you with a window but a door to the future landscape of pharmacovigilance and risk management.
This course is part of our Vigilance Training Course collection, which features other pharmacovigilance training courses for professionals.
• Feedforward neural networks
• Convolutional networks
• Sequential networks
• Generative adversarial networks
Dr Sanjeev Srivastav, Director of PV Signal, is a highly analytical and quality-focused healthcare professional with over 20 years experience in Clinical Medicine, Pharmaceuticals and Health administration. He provides safety consultation on PV processes and operations with special expertise in AI and Machine Learning platforms, using data automation models for Pharmacovigilance and Risk Management activities, including Intelligent Reporting and Signal Automation. He brings the hybrid knowledge of medicine, technology and business to present a holistic view of the topics he is passionate about.
NEW higher discounts for multiple bookings - bring your colleagues to make your training budget go further:
Please contact us for pricing if you are interested in booking 5 or more delegates
24 January 2024
09:00-16:30 UK (London) (UTC+00)
10:00-17:30 Paris (UTC+01)
04:00-11:30 New York (UTC-05)
Course code 13029
Until 20 Dec
15 May 2024
09:00-16:30 UK (London) (UTC+01)
10:00-17:30 Paris (UTC+02)
04:00-11:30 New York (UTC-04)
Course code 13030
Until 10 Apr
18 September 2024
09:00-16:30 UK (London)
Course code 13914
Optional £235/€335/$385 per night
Until 14 Aug
* Early booking discounts may not be combined with other discounts or offers. As such, the discounts for 2nd/3rd/4th delegates are based on the full price.
Multiple colleagues? See above for details of our discounts for 2, 3, or 4 delegates. For more, talk to one of our training experts to discuss how to: