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10th-11th June 2019
Blue Fin Building,
110 Southwark Street, London, SE1 0TA

A Practical Guide to AI in Clinical Trials

Get ahead of the curve in AI-enabled clinical innovation

2-Day Workshop
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Course Overview

2-Day Workshop

Bringing a drug to market is an arduous task, with the process taking from between 10 to 15 years while costing billions. Therefore, with claims that AI will be able to transform this process by improving the efficiency and optimization of clinical trials, it is no surprise that it has generated intrigue across life science industries. This course will, through the investigation of key use cases, provide understanding on these questions and help management level staff make informed decisions regarding its use in their business.
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What to expect

Latest use cases
Latest use cases

Gain insights from current use cases of AI technologies for clinical trial
design, patient recruitment, site selection and more.

Practical framework
Practical framework

Learn how to utilise Real World Evidence for more patient-centered outcomes.

Expert Delivery
Expert Delivery

Learn from a recognized expert and commentator on social business strategy, digital transformation and AI

Attend the 2-day workshop and you will be able to:

Identify ways in which you can use AI to increase the efficiency and save costs in clinical trials

Realise where AI can fit into your business model and how to prove its value

Realise where AI fits into your business model and how to prove its value

Understand how to overcome AI adoption obstacles including data silos and data extraction

Realise the various ways to acquire the talent needed to benefit from AI

Recognise key regulations and how to abide to these when deploying AI

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Your Training Team

Delegates will be led by three practitioners of differing backgrounds to offer an all-rounded perspective on AI as applied to clinical trials

Bhupathy Alagiriswamy

Director

Credence Clinical Solutions Ltd

Eddie Guzdar

Medical Head of Neuroscience

Sanofi Genzyme

Christian Spindler

Consultant & former lead in Data Analytics for IoT at PwC

Consultant