The Future Of Clinical Trials: Artificial Patients, Synthetic Data And Real-Time Analysis

In this article, we summarise three concepts that are already/ will soon become familiar for everyone interested in the future of clinical trials. These are 1. the concept of the artificial patient, 2. using synthetic data and 3. real-time analyses. What connects the three is that all are potential tools to make clinical trials faster, cheaper and safer. That is so, in an ideal world. Because, as almost always, there is a catch, not even a small one. But more on it later.  The artificial patient What is it? As of today, there is no final, widely accepted definition of what an artificial/virtual/synthetic patient is. A very detailed explanation about some (but not all) of the different definitions can be found in this study.  So let me phrase it simply what we mean by it in this analysis: an artificial patient is a set of data representing the desired human characteristics the best possible way that is based on large amounts of real patient data, without actually including any backtracable real-patient data.  Why is it? Artificial patients can be the answer to more than one problems of modern medicine. One of them is patient privacy. With ever more machine learning and deep learning models being used, A.I. needs huge amounts of data to learn from. But providing a lot of real patient data is against their privacy rights, and we have seen ample examples of how bad an idea it is to allow random companies to access heaps of sensitive health data. ...
Source: The Medical Futurist - Category: Information Technology Authors: Tags: TMF Forecast Artificial Intelligence in Medicine Digital Health Research E-Patients Future of Medicine medical device clinical trials deep learning machine learning drug design synthetic data artificial patient virtual patient Source Type: blogs