The Center for Artificial Intelligence and Quantum Computing in System Brain Research (CLARA) represents a paradigm shift in neurodegenerative disease research. Our innovative approach combines cutting-edge artificial intelligence/machine learning, quantum computing, and high-performance computing to tackle the complex challenges of brain disorders, particularly Alzheimer's disease.
1. Quantum-Accelerated Protein Dynamics: We develop advanced foundation models to simulate protein dynamics and aggregation involved in neurodegenerative diseases. By harnessing quantum computing power, we can explore molecular mechanisms at unprecedented scales, opening new avenues for drug discovery.
2. AI-Driven Clinical Phenomenology: Our team creates generative AI models that integrate diverse data types, from molecular to clinical, to understand the complex progression of Alzheimer's disease over decades. This approach aims to revolutionize patient care through precision medicine tools.
3. Multiscale Brain Modeling: We are building a first-of-its-kind integrated knowledge platform that allows exploration across various spatial and temporal levels of brain organization. This innovative tool will provide crucial insights into the intricate connections between biological factors and clinical symptoms.
CTU is one of the largest and oldest technical universities in Europe. Over 19,000 students study at eight CTU faculties. In CLARA, CTU is represented by CIIRC CTU which is a modern research institute that concentrates on cutting-edge research in the fields of computer science, robotics, cybernetics and related areas (bioinformatics, assistive technologies, etc.). CIIRC is a national CoE for AI. CIIRC is a member of the most prominent European networks on AI (ELLIS, CAIRNE) and builds a unique ecosystem for AI and advanced manufacturing. Thanks to RICAIP (Research and Innovation Center on Advanced Industrial Production.
The Center for Artificial Intelligence and Quantum Computing in System Brain Research (CLARA) represents a paradigm shift in neurodegenerative disease research. Our innovative approach combines cutting-edge artificial intelligence/machine learning, quantum computing.
The Center for Artificial Intelligence and Quantum Computing in System Brain Research (CLARA) represents a paradigm shift in neurodegenerative disease research. Our innovative approach combines cutting-edge artificial intelligence/machine learning, quantum computing, and high-performance computing to tackle the complex challenges of brain disorders, particularly Alzheimer's disease.
Dr. Khachaturian is co-founder of Khachaturian and Associates, an international consulting group on matters related to healthy brain aging. He has over twenty years of experience in the area of epidemiological and clinical research, including specialized experience in complex data analysis and modeling, public health policy, public finance, and government affairs.
VSB – Technical University of Ostrava (VSB-TUO) was founded in 1849. It has since grown into a modern higher education and research institution, offering the highest levels of education in technical and economic fields of study. VSB-TUO holds the "HR Excellence in Research" award and belongs to the top technical universities in the Czech Republic, with students studying in BSc, MSc, and PhD degree programmes across seven faculties.
The Center for Artificial Intelligence and Quantum Computing in System Brain Research (CLARA) represents a paradigm shift in neurodegenerative disease research. Our innovative approach combines cutting-edge artificial intelligence/machine learning, quantum computing, and high-performance computing to tackle the complex challenges of brain disorders, particularly Alzheimer's disease.
Project title | Center for Artificial Intelligence and Quantum Computing in System Brain Research |
ID | 101136607 |
Link to Cordis | |
Acronym | CLARA |
Supported by | European Commission Granting authority: European Research Executive Agency |
The CLARA pilot use-case focuses on understanding the complex interactions between apolipoprotein E (APOE) and lipids in the brain, and their impact on neuronal health and Alzheimer's disease (AD) progression. This groundbreaking research leverages CLARA's unique interdisciplinary expertise and advanced computing infrastructure to address key challenges in neurodegenerative disease research.
INDRC Executive Board Member
INDRC Executive Board Member
INDRC Executive Board Member
INDRC Executive Board Member
INDRC Executive Board Member
INDRC Executive Board Member
Project title | Center for Artificial Intelligence and Quantum Computing in System Brain Research |
ID | 101136607 |
Link to Cordis | |
Arconym | CLARA |
Supported by | European Commission Granting authority: European Research Executive Agency |
Programme | EC‘s Horizon Europe Teaming for Excellence Program Call: HORIZON-WIDERA-2023-ACCESS-01 Topic: HORIZON-WIDERA-2023-ACCESS-01-01-two-stage Type of action: HORIZON Coordination and Support Actions (CSA) |
Project duration | 1 November 2024 - 31 October 2030 (72 months) |
Total budget / Eligible costs | 14 999 782.50 EUR (max grant amount) |
Coordinator | INDRC – International Neurodegenerative Disorders Research Center |
Partners | CIIRC CTU – Czech Institute of Informatics, Robotics and Cybernetics CTU in Prague VSB-TUO – Technical University of Ostrava | IT4Innovations brICRC – International Clinical Research Center, St. Anne’s University Hospital Brno PBI - Paris Brain Institute, France LRZ – Leibniz Supercomputing Centre, Bavarian Academy of Sciences and Humanities, Germany |
Utilization of CLARA's three research programs (RPs) and the CLARA Testbed supercomputing infrastructure. Mechanisms of APOE-lipid interactions and their effects on neuronal health and AD pathology.
The CLARA pilot use-case focuses on understanding the complex interactions between apolipoprotein E (APOE) and lipids in the brain, and their impact on neuronal health and Alzheimer's disease (AD) progression. This groundbreaking research leverages CLARA's unique interdisciplinary expertise and advanced computing infrastructure to address key challenges in neurodegenerative disease research.
By combining expertise from molecular dynamics, AI-driven data analysis, and multiscale modeling, CLARA aims to make significant advancements in our understanding of AD pathogenesis and pave the way for innovative diagnostic and therapeutic approaches.
A. AI-Driven Clinical Phenomenology
By combining expertise from molecular dynamics, AI-driven data analysis, and multiscale modeling, CLARA aims to make significant advancements in our understanding of AD pathogenesis and pave the way for innovative diagnostic and therapeutic approaches.
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B. Multiscale Brain Modeling
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Together, these research programs form the core of CLARA's innovative approach to unraveling the mysteries of neuronal longevity and vitality, paving the way for groundbreaking advancements in neurodegenerative disease research.
Together, these research programs form the core of CLARA's innovative approach to unraveling the mysteries of neuronal longevity and vitality, paving the way for groundbreaking advancements in neurodegenerative disease research.
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By leveraging CLARA's high-performance computing infrastructure, RP3 will enable exploration across multiple spatial and temporal levels of brain organization, providing crucial insights into the connections between biological factors and clinical symptoms.
Together, these research programs form the core of CLARA's innovative approach to unraveling the mysteries of neuronal longevity and vitality, paving the way for groundbreaking advancements in neurodegenerative disease research.
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The main thing you should pay attention to is the clean space near the logo.
The main thing you should pay attention to is the clean space near the logo.
The main thing you should pay attention to is the clean space near the logo.
The research program RP1 brings together top scientists from CIIRC CTU in Prague and ICRC in Brno. The research aims to revolutionize the study of protein.
Creating foundation models for protein dynamics and aggregation.
Simulating crucial proteins involved in neurodegenerative diseases (e.g., ABeta, apoE, and Tau).
Identifying new molecular mechanisms and potential drug candidates.