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Field
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artificial intelligence to atrial fibrillation and associated comorbidities, collaborating with Cardiology researchers to support the development and evaluation of artificial intelligence algorithms
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such as audio, event-based vision, and inertial measurements, together with user gaze information. Artificial intelligence algorithms will be developed to fuse and interpret these heterogeneous modalities
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studies, and both quantitative and qualitative investigations, either at a high level or tailored to specific business needs, within the field of Artificial Intelligence (AI"). This is carried out in
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innovations affecting Italy’s tourism and cultural sectors, with a particular focus on the role of artificial intelligence and the benefits and risk factors associated with its adoption. The Research also forms
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emphasis on severe childhood asthma, integrating clinical, biological, and imaging data through quantitative analysis and artificial intelligence. Research activities include medical image processing
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of Business Intelligence (machine learning & LLM) to enhance the sustainability of regional tourism. On the supply side, a monitoring system is developed by extracting data from online platforms such as Google
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the supply chain sector in response to global volatility and new EU sustainability mandates. By integrating resilience, sustainability, artificial intelligence, and supply chain finance, the initiative aims
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, with a specific focus on the declining birth rate and family support. A key innovative element is the ability to integrate the impact of recent technological developments and Artificial Intelligence
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of artificial intelligence and continuous monitoring in bridge engineering" aims to develop an integrated methodology for proactive bridge management, moving from periodic inspections to data-driven maintenance
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Università degli Studi di Roma Tor Vergata - Dipartimento di Scienze Chirurgiche | Italy | 2 months ago
project aims to develop and train an artificial intelligence–based multiplex network for individualised risk stratification in prostate cancer. By integrating genomic, transcriptomic, clinical, pathological