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Artificial Intelligence and Machine Learning Powered Signal Management Training Course

The Changing Landscape of Pharmacovigilance and Risk Management

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.

24 January 2024
+ 15 May 2024, 18 September 2024 »

from £549

Need help?  Enrol or reserve

  • Format: Live online, Classroom
  • CPD: 6 hours for your records
  • Certificate of completion

Overview

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.

Key topics:

  • AI, ML and Deep Learning
  • Natural Language Processing (NLP): Symbolic, Statistical, Neural
  • Named Entity Recognition (NER) and Medical Language Modelling (MLM)
  • Data Handling and Model Building
  • Learning: Analogical, Inductive, Evolutionary
  • Causality Scoring
  • Intelligent Reporting
  • Contemporaneous explainability
  • Regulatory Compliance and Good Machine Learning Practices
  • Resources and Tools available

This course is part of our Vigilance Training Course collection, which features other pharmacovigilance training courses for professionals.

Benefits of Attending

  • Understand the technical processes utilised and the impact of those processes on your work as a safety professional and be able to modify those processes for maximum productivity
  • Get hands-on experience with an AI-Powered Tool for Signal management  
  • Learn to create a personalised dashboard for signal assessment and evaluation using the AI and ML capabilities of the Tool
  • Recognise and resolve the limitations of the machine and present the best man-machine model for safety assessment

Who Should Attend

  • This course would be of maximum benefit to Safety Professionals who have a basic understanding of Signal Management
  • It would be highly advantageous for individuals with multifunctional responsibilities such as project managers, medical directors, medical reviewers and decision-makers involved in the digital transformation of health services
  • Appropriate for all levels of Signal Evaluation and Risk Management PV Professionals who want to keep abreast of the AI surrounding them, and its influence and impact on their work  

Enrol or reserve

The Artificial Intelligence and Machine Learning Powered Signal Management course will cover:

Digital Days

  • Can machines think?
  • Intelligent games
  • Geradus to Garmin to Google

Revolution Not Evolution

  • Navigating the terminology
  • AI and ML powered Signal Management
  • NLP: Read and understand 

Artificial Intelligence (AI)

  • Introduction to AI
  • AI models
  • AI as a science

Machine Learning (ML)

  • Introduction to Machine Learning
  • Supervised learning
  • Unsupervised learning
  • Semi-supervised and reinforced learning 

ML Models

  • Linear models
  • Nonlinear models
  • Parametric and nonparametric models

ML Model Building Issues

  • Bias and variance
  • Under-fitting and over-fitting
  • Loss functions

Data Handling

  • Data pre-processing
  • Descriptive statistics
  • Missing data and representing data

Learning

  • Analogical learning: Nearest neighbours
  • Inductive learning: Decision trees
  • Bayesian learning: Naïve Bayes
  • Evolutionary learning: Genetic algorithms

Deep Learning

•    Feedforward neural networks
•    Convolutional networks
•    Sequential networks
•    Generative adversarial networks

In Action

  • Image diagnosis
  • Adverse event prediction
  • Drug design

Cognitive Systems in Healthcare

  • IBM Watson Health
  • Merge Cardion, Merge Hemo
  • MarketScan

AI, MI and NLP Powered End-to-End Signal Management Tool: PVs by RxLogix

  • Demonstration
  • Hands on signal automation   

AI Powered Complete Literature Monitoring Platform for Safety Surveillance: Biologit MLM AI by Biologit

  • Demonstration  

AI Powered Smart Causality Assistant

  • Causality scoring
  • Intelligent reporting

Limitations and Discussions

  • Customised dictionaries
  • Ontologies
  • Temporal resolution
  • Information heterogenicity

Are We There Yet?

  • Contemporaneous explainability – outcomes in AI powered decision making
  • Regulatory compliance

Enrol or reserve

Sanjeev Srivastav
PV Signal

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. 

More details

NEW higher discounts for multiple bookings - bring your colleagues to make your training budget go further:

  • 30% off the 2nd delegate*
  • 40% off the 3rd delegate*
  • 50% off the 4th delegate*

Please contact us for pricing if you are interested in booking 5 or more delegates

24 January 2024

Live online

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

  • GBP 549 649
  • EUR 789 929
  • USD 893 1,049

Until 20 Dec

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Not ready to book yet?

for 7 days, no obligation

15 May 2024

Live online

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

  • GBP 549 649
  • EUR 789 929
  • USD 893 1,049

Until 10 Apr

View basket 

 
Not ready to book yet?

for 7 days, no obligation

18 September 2024

Classroom
Rembrandt Hotel
London

09:00-16:30 UK (London)
Course code 13914
Optional £235/€335/$385 per night

  • GBP 649 749
  • EUR 939 1,079
  • USD 1,053 1,209

Until 14 Aug

  • 1 day classroom-based training
  • Optional accommodation - 1 night including breakfast, checking in the day before the course
  • Meet presenters and fellow attendees in person
  • Lunch and refreshments provided
  • Download documentation and certification of completion
  • Fair transfer and cancellation policy

View basket 

 
Not ready to book yet?

for 7 days, no obligation

* 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.

Australia

  • Elanco

Germany

  • P&G Health Germany

Saudi Arabia

  • Saudi Food & Drugs Authority

Enrol or reserve

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:

Run this course conveniently and cost-effectively in-house for your staff and colleagues

Aleksandra Beer

Aleksandra BEER
Training expert

Yesim Nurko

Yesim NURKO
Training expert

+44 (0)20 7749 4749

inhouse@ipi.academy