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Scientific Reports
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December 6, 2022
Machine learning for exploring neurophysiological functionality in multiple sclerosis based on trigeminal and hand blink reflexes
Monica Biggio, Daniele Caligiore, Federico D'Antoni, et al.
Bioengineering (Basel, Switzerland)
|
June 2, 2021
Blood Glucose Level Forecasting on Type-1-Diabetes Subjects during Physical Activity: A Comparative Analysis of Different Learning Techniques
Benedetta De Paoli, Federico D'Antoni, Mario Merone, et al.
Bioengineering (Basel, Switzerland)
|
May 27, 2022
Prediction of Glucose Concentration in Children with Type 1 Diabetes Using Neural Networks: An Edge Computing Application
Federico D'Antoni, Lorenzo Petrosino, Fabiola Sgarro, et al.
Computers in Biology and Medicine
|
April 16, 2025
Deep reinforcement learning for Type 1 Diabetes: Dual PPO controller for personalized insulin management
Alessandro Marchetti, Daniele Sasso, Federico D'Antoni, et al.
IEEE Transactions on Bio-Medical Engineering
|
June 11, 2024
Combining Fiber Bragg Grating and Artificial Intelligence Technologies for Supporting Epidural Procedures
Martina Pulcinelli, Federico D'Antoni, Daniela Lo Presti, et al.
International Journal of Environmental Research and Public Health
|
October 23, 2021
Artificial Intelligence and Computer Vision in Low Back Pain: A Systematic Review
Federico D'Antoni, Fabrizio Russo, Luca Ambrosio, et al.
IEEE Journal of Biomedical and Health Informatics
|
April 10, 2025
Continuous Monitoring of Sleep-Related Biomarkers via a Nearable Solution Based on Fiber Bragg Grating Technology
Francesca De Tommasi, Federico D'Antoni, Daniela Lo Presti, et al.
International Journal of Environmental Research and Public Health
|
May 28, 2022
Artificial Intelligence and Computer Aided Diagnosis in Chronic Low Back Pain: A Systematic Review
Federico D'Antoni, Fabrizio Russo, Luca Ambrosio, et al.
Frontiers in Surgery
|
August 1, 2022
Natural language processing in low back pain and spine diseases: A systematic review
Luca Bacco, Fabrizio Russo, Luca Ambrosio, et al.
JOR Spine
|
September 19, 2025
Exploring the Biopsychosocial Impact of Chronic Low Back Pain in Workers Through Artificial Intelligence-Driven Phenotyping
Paolo Giaccone, Elisabetta de Rinaldis, Federico D'Antoni, et al.
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Showing results (1-10 of 14) with videos related to
Sort By:
Page
of 2
Scientific Reports
|
December 6, 2022
Machine learning for exploring neurophysiological functionality in multiple sclerosis based on trigeminal and hand blink reflexes
Monica Biggio, Daniele Caligiore, Federico D'Antoni, et al.
Bioengineering (Basel, Switzerland)
|
June 2, 2021
Blood Glucose Level Forecasting on Type-1-Diabetes Subjects during Physical Activity: A Comparative Analysis of Different Learning Techniques
Benedetta De Paoli, Federico D'Antoni, Mario Merone, et al.
Bioengineering (Basel, Switzerland)
|
May 27, 2022
Prediction of Glucose Concentration in Children with Type 1 Diabetes Using Neural Networks: An Edge Computing Application
Federico D'Antoni, Lorenzo Petrosino, Fabiola Sgarro, et al.
Computers in Biology and Medicine
|
April 16, 2025
Deep reinforcement learning for Type 1 Diabetes: Dual PPO controller for personalized insulin management
Alessandro Marchetti, Daniele Sasso, Federico D'Antoni, et al.
IEEE Transactions on Bio-Medical Engineering
|
June 11, 2024
Combining Fiber Bragg Grating and Artificial Intelligence Technologies for Supporting Epidural Procedures
Martina Pulcinelli, Federico D'Antoni, Daniela Lo Presti, et al.
International Journal of Environmental Research and Public Health
|
October 23, 2021
Artificial Intelligence and Computer Vision in Low Back Pain: A Systematic Review
Federico D'Antoni, Fabrizio Russo, Luca Ambrosio, et al.
IEEE Journal of Biomedical and Health Informatics
|
April 10, 2025
Continuous Monitoring of Sleep-Related Biomarkers via a Nearable Solution Based on Fiber Bragg Grating Technology
Francesca De Tommasi, Federico D'Antoni, Daniela Lo Presti, et al.
International Journal of Environmental Research and Public Health
|
May 28, 2022
Artificial Intelligence and Computer Aided Diagnosis in Chronic Low Back Pain: A Systematic Review
Federico D'Antoni, Fabrizio Russo, Luca Ambrosio, et al.
Frontiers in Surgery
|
August 1, 2022
Natural language processing in low back pain and spine diseases: A systematic review
Luca Bacco, Fabrizio Russo, Luca Ambrosio, et al.
JOR Spine
|
September 19, 2025
Exploring the Biopsychosocial Impact of Chronic Low Back Pain in Workers Through Artificial Intelligence-Driven Phenotyping
Paolo Giaccone, Elisabetta de Rinaldis, Federico D'Antoni, et al.
Page
of 2