Venue: Auditorium, Peter Doherty Institute
Presenters: Professor Marco Viceconti
The concept of a Virtual Physiological Human, a computer model that can predict specific functioning of an individual’s body, was first proposed in 2005, although pre-existing research can be traced back to the late ‘90s. Around 20 years of technological development has created computer models that can predict quantities that are clinically relevant, but not easily measured.
In early developments the predominant application for these technologies was the 'Digital Patient', where patient-specific prediction would support medical decision-making. But the recommendations of US Congress and the European Parliament between 2015 and 2016 have opened a new scenario, where subject-specific models can be used to evaluate the safety and the efficacy of new drugs and medical devices; i.e. 'In silico clinical trials'.
A third application, personal health forecasting, is now emerging, where the model is used to transform data from ambient, wearable or implanted sensors, into predictions where patients can self-manage their chronic condition.
In this lecture, Professor Viceconti will discuss these developments and their impact on the future delivery of healthcare.
from
https://events.unimelb.edu.au/events/9929-how-in-silico-medicine-is-transforming-healthcare
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