Results 91 to 100 of about 289,502 (331)
Innovating Global Healthcare Solutions with AWS: Utilizing AI, Data Analytics, and Cloud Services for Disease Control and Personalized Medicine [PDF]
, 2022 Satish Kumar Nadendla
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Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein +13 more
wiley +1 more source
International Journal of Sustainable Engineering, 2020 Modularity is one of the most useful tools employed in the product development process. Regarding functionality, the use of modules is common to generate flexible platforms to manufacture products and product families that require functional variations ...
Jaime Alberto Mesa +2 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu +14 more
wiley +1 more source
A Privacy-by-Design Contextual Suggestion System for Tourism
Journal of Sensor and Actuator Networks, 2016 We focus on personal data generated by the sensors and through the everyday usage of smart devices and take advantage of these data to build a non-invasive contextual suggestion system for tourism.
Pavlos S. Efraimidis +4 more
doaj +1 more source
Compact Personalized Models for Neural Machine Translation [PDF]
, 2018 Joern Wuebker +2 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source
Large Scale Product Recommendation of Supermarket Ware Based on Customer Behaviour Analysis
Big Data and Cognitive Computing, 2018 In this manuscript, we present a prediction model based on the behaviour of each customer using data mining techniques. The proposed model utilizes a supermarket database and an additional database from Amazon, both containing information about customers&
Andreas Kanavos +3 more
doaj +1 more source
It's Not a Matter of Time: Highlights From the 2011 Competency-Based Learning Summit [PDF]
, 2011 Outlines discussions about the potential and challenges of competency-based learning in transforming the current time-based system, including issues of accountability, equity, personalization, and aligning policy and practice.
Chris Sturgis +2 more
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