SPM4.0 · Autonomous Scanning Probe Microscopy for Life Sciences and Medicine powered by Artificial Intelligence
„Хоризонт Европа“ — Действия „Мария Склодовска-Кюри“
- Период
- 2024-11-01 → 2028-10-31
- Финансиране от ЕС
- 3 886 546 €
- Участници
- 22
- Схема
- HORIZON-TMA-MSCA-DN
Линиите свързват координатора с партньорите.
Накратко на български
Автономните сканиращи микроскопи с изкуствен интелект изследват структурата и функциите на живи клетки и биомолекули в естествена среда. Това помага за по-доброто разбиране на процесите в медицината и биологията чрез автоматизиран анализ на данни в наномащаб.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Цел на проекта
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.
Оригинален текст от CORDIS (на английски).
Участници
- FUNDACIO INSTITUT DE BIOENGINYERIA DE CATALUNYA · BarcelonaКоординаторИспания
- AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS · MadridИспания
- BRUKER NANO GMBH · BerlinГермания
- CESKY METROLOGICKY INSTITUT · BRNOЧехия
- CHARITE - UNIVERSITAETSMEDIZIN BERLIN · BerlinГермания
- DATRIX SPA · MilanoИталия
- FUNDACIO HOSPITAL UNIVERSITARI VALL D'HEBRON - INSTITUT DE RECERCA · BARCELONAИспания
- FUNDACION ESADE · BarcelonaИспания
- GOETEBORGS UNIVERSITET · GoeteborgШвеция
- IFLAI AB · MölndalШвеция
- POLITECNICO DI MILANO · MilanoИталия
- POLYPEPTIDE THERAPEUTIC SOLUTIONS SOCIEDAD LIMITADA · VALENCIAИспания
- SORBONNE UNIVERSITE · ParisФранция
- ScixelИспания
- TECHNISCHE UNIVERSITAET DRESDEN · DresdenГермания
- THE HENRYK NIEWODNICZANSKI INSTITUTE OF NUCLEAR PHYSICS, POLISH ACADEMY OF SCIENCES · KRAKOWПолша
- THE UNIVERSITY OF SHEFFIELD · SHEFFIELDОбединеното кралство
- UNIVERSIDAD AUTONOMA DE MADRID · MadridИспания
- UNIVERSITAT AUTONOMA DE BARCELONA · Cerdanyola Del VallesИспания
- UNIVERSITAT DE BARCELONA · BarcelonaИспания
- UNIVERSITAT DE VALENCIA · ValenciaИспания
- VYSOKE UCENI TECHNICKE V BRNE · BRNO STREDЧехия
Връзки
- Виж в CORDIS
- DOI: 10.3030/101168976
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e51679f893&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5181cbbe8&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e52615fef4&appId=PPGMS
- https://spm40.eu/
Данни: CORDIS, © Европейски съюз
