Precision Medicine

Precision medicine has been defined as “an emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle for each person”.

So far, medicine has mostly been working through “one-size-fits-all-treatments”. This approach works for many but not for all the patients. Precision medicine aims at predicting which strategy fits best to a group of people or a single patient.

The individual characterisation of genetic background will be made possible thanks to the development of genome technologies. A major role is played by pioneering industries which develop faster, cheaper and smaller devices. As patients become more eager to improve their quality of life not only in relation to a disease’s treatment, more advances are expected to come.

Precision medicine has thus the potential to revolutionise nowadays medicine. But a new approach requires differently trained health professionals and a new type of relationship between doctors and patients.

Patients need to be made aware of how to understand complex information that will guide their choices among different options and to have been granted the right to directly access analyses’ data. Security, data handling and processing, medical devices to collect data, mobile technologies are all fields in which the industry might play an important role.

To face these and more challenges we are aiming to design a Precision Medicine SMART Map for the responsible applications of this technology in the industry, by involving field industries, public institutions, administrators and key opinion leaders in research development and civil society.

The Industrial dialogues that will help develop the Precision Medicine SMART Map took place in Aarhus (DK) and Valencia (ES).

 

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Contacts

Project Coordination
prof. Francesco Lescai,
Aarhus University

info@projectsmartmap.eu

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This project has received funding from the European Union’s Horizon 2020 Framework Programme for research and innovation, under grant agreement no. 710500