6 Works
The usability and feasibility validation of the social robot MINI in people with dementia and mild cognitive impairment; a study protocol
Aysan Mahmoudi Asl, Jose Miguel Toribio-Guzmán, Henriëtte van der Roest, Álvaro Castro-González, María Malfaz, Miguel A. Salichs & Manuel Franco Martin
Abstract Background Social robots have demonstrated promising outcomes in terms of increasing the social health and well-being of people with dementia and mild cognitive impairment. According to the World Health Organization’s Monitoring and assessing digital health interventions framework, usability and feasibility studies are crucial before implementing prototype social robots and proving their efficacy and effectiveness. This protocol paper aims to detail the plan for conducting the usability and feasibility study of the MINI robot based...
Dual-labeled nanoparticles based on small extracellular vesicles for tumor detection
Ana Santos-Coquillat, Desiré Herreros-Pérez, Rafael Samaniego, María Isabel González, Lorena Cussó, Manuel Desco & Beatriz Salinas
Abstract Background Small extracellular vesicles (sEVs) are emerging natural nanoplatforms in cancer diagnosis and therapy, through the incorporation of signal components or drugs in their structure. However, for their translation into the clinical field, there is still a lack of tools that enable a deeper understanding of their in vivo pharmacokinetics or their interactions with the cells of the tumor microenvironment. In this study, we have designed a dual-sEV probe based on radioactive and fluorescent...
Identifying latent activity behaviors and lifestyles using mobility data to describe urban dynamics
Yanni Yang, Alex Pentland & Esteban Moro
Abstract Urbanization and its problems require an in-depth and comprehensive understanding of urban dynamics, especially the complex and diversified lifestyles in modern cities. Digitally acquired data can accurately capture complex human activity, but it lacks the interpretability of demographic data. In this paper, we study a privacy-enhanced dataset of the mobility visitation patterns of 1.2 million people to 1.1 million places in 11 metro areas in the U.S. to detect the latent mobility behaviors and...
Dual-labeled nanoparticles based on small extracellular vesicles for tumor detection
Ana Santos-Coquillat, Desiré Herreros-Pérez, Rafael Samaniego, María Isabel González, Lorena Cussó, Manuel Desco & Beatriz Salinas
Abstract Background Small extracellular vesicles (sEVs) are emerging natural nanoplatforms in cancer diagnosis and therapy, through the incorporation of signal components or drugs in their structure. However, for their translation into the clinical field, there is still a lack of tools that enable a deeper understanding of their in vivo pharmacokinetics or their interactions with the cells of the tumor microenvironment. In this study, we have designed a dual-sEV probe based on radioactive and fluorescent...
The usability and feasibility validation of the social robot MINI in people with dementia and mild cognitive impairment; a study protocol
Aysan Mahmoudi Asl, Jose Miguel Toribio-Guzmán, Henriëtte van der Roest, Álvaro Castro-González, María Malfaz, Miguel A. Salichs & Manuel Franco Martin
Abstract Background Social robots have demonstrated promising outcomes in terms of increasing the social health and well-being of people with dementia and mild cognitive impairment. According to the World Health Organization’s Monitoring and assessing digital health interventions framework, usability and feasibility studies are crucial before implementing prototype social robots and proving their efficacy and effectiveness. This protocol paper aims to detail the plan for conducting the usability and feasibility study of the MINI robot based...
Identifying latent activity behaviors and lifestyles using mobility data to describe urban dynamics
Yanni Yang, Alex Pentland & Esteban Moro
Abstract Urbanization and its problems require an in-depth and comprehensive understanding of urban dynamics, especially the complex and diversified lifestyles in modern cities. Digitally acquired data can accurately capture complex human activity, but it lacks the interpretability of demographic data. In this paper, we study a privacy-enhanced dataset of the mobility visitation patterns of 1.2 million people to 1.1 million places in 11 metro areas in the U.S. to detect the latent mobility behaviors and...
Affiliations
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Carlos III University of Madrid6
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Hong Kong Polytechnic University2
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Centro de Investigación Biomédica en Red de Salud Mental2
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Hospital General Universitario Gregorio Marañón2
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Second Affiliated Hospital of Kunming Medical College2
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Trimbos Institute2
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University of Salamanca2
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Spanish National Centre for Cardiovascular Research2
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China Three Gorges University2
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Massachusetts Institute of Technology2