Summary
Artificial Intelligence is pushing forward the Industrial Revolution 4.0, which is transforming many areas of Society, including Science and Technology. Nanoscopy, a recognized pillar of the research and manufacture of Nanotechnology-based products, is among the areas that more quickly is adopting Artificial Intelligence. Machine learning algorithms are being developed and integrated in microscopes for its autonomous operation and in software toolboxes for the automatic analysis of large volumes of microscopy data. Scanning Probe Microscopy is particularly active in this integration with a special focus in the Life Sciences and Medical fields. Scanning probe microscopes powered by machine learning are expected to enable the autonomous and label-free nanoscale structural and functional (mechanical and electric) imaging of living cells and functional biomolecules in their native conditions, something never achieved in nanoscopic imaging. The objective of the SPM4.0 Doctoral Network is to train a new generation of researchers in the science and technology of autonomous Scanning Probe Microscopes powered by Artificial Intelligence for applications in the Life Science and Medical fields. The researchers of the network will acquire a state-of-the-art multidisciplinary scientific training in advanced scanning probe microscopy and machine learning and in their biological and medical applications. In addition, they will receive training on complementary and transferable skills to increase their employability perspectives and to qualify them to access to responsibility job positions in the private and public sectors. The final aim is to promote the wide adoption of SPM4.0 technologies in public and private research centers and in industrial and metrology institutions and to explore new horizons in the Life Sciences and Medical sectors regarding label-free nanoscopic cell imaging, illness diagnosis, or drug nanocarrier development, consolidating Europe as world leader.
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Web resources: | https://cordis.europa.eu/project/id/101168976 |
Start date: | 01-11-2024 |
End date: | 31-10-2028 |
Total budget - Public funding: | - 3 886 545,00 Euro |
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Original description
Artificial Intelligence is pushing forward the Industrial Revolution 4.0, which is transforming many areas of Society, including Science and Technology. Nanoscopy, a recognized pillar of the research and manufacture of Nanotechnology-based products, is among the areas that more quickly is adopting Artificial Intelligence. Machine learning algorithms are being developed and integrated in microscopes for its autonomous operation and in software toolboxes for the automatic analysis of large volumes of microscopy data. Scanning Probe Microscopy is particularly active in this integration with a special focus in the Life Sciences and Medical fields. Scanning probe microscopes powered by machine learning are expected to enable the autonomous and label-free nanoscale structural and functional (mechanical and electric) imaging of living cells and functional biomolecules in their native conditions, something never achieved in nanoscopic imaging. The objective of the SPM4.0 Doctoral Network is to train a new generation of researchers in the science and technology of autonomous Scanning Probe Microscopes powered by Artificial Intelligence for applications in the Life Science and Medical fields. The researchers of the network will acquire a state-of-the-art multidisciplinary scientific training in advanced scanning probe microscopy and machine learning and in their biological and medical applications. In addition, they will receive training on complementary and transferable skills to increase their employability perspectives and to qualify them to access to responsibility job positions in the private and public sectors. The final aim is to promote the wide adoption of SPM4.0 technologies in public and private research centers and in industrial and metrology institutions and to explore new horizons in the Life Sciences and Medical sectors regarding label-free nanoscopic cell imaging, illness diagnosis, or drug nanocarrier development, consolidating Europe as world leader.Status
SIGNEDCall topic
HORIZON-MSCA-2023-DN-01-01Update Date
23-12-2024
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