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Klára Boruzs, Viktor Dombrádi, János Sándor, Gábor Bányai, Robert Horne, Klára Bíró and Attila Nagy
The goal of this study was to translate the Beliefs about Medicines Questionnaire?Specific (BMQ-Specific) for cholesterol-lowering drugs, into the Hungarian, Slovak, Czech and Polish languages and test their reliability with statistical methods. For this...
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Michelle Sing Yee Hii, Patrick Courtney and Paul G. Royall
This study tests the impact of drone transportation on the quality of a medicine. Modelling the critical process parameters of drone flight, the effects of temperature and vibration on insulin were investigated using the pharmacopoeia methods. The medici...
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Jafar Asgari Arani
Pág. pp. 33 - 36
ABSTRACT- This study uses Depth Interview as a research instrument to study users' perceptions and acceptance of the potential use of mobile phones in a prospective design for learning Medical English, a mandatory course in medicine. Almost all the respo...
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Medicine Magocha, Davie Mutasa, Richard N Madadzhe
Pág. 14 pages
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Enrica Serretiello, Annafrancesca Smimmo, Andrea Ballini, Domenico Parmeggiani, Massimo Agresti, Paola Bassi, Giancarlo Moccia, Antonella Sciarra, Alessandra De Angelis, Paola Della Monica, Maria Michela Marino and Marina Di Domenico
Breast cancer (BC) caused 685,000 deaths globally in 2020, earning the title of the most common type of tumor among females. With a multifactorial genesis, BC is influenced by several factors such as age, genetic and epigenetic predisposition, and an ind...
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Md Saiful Islam and Fei Liu
In the realm of artificial intelligence, knowledge graphs have become an effective area of research. Relationships between entities are depicted through a structural framework in knowledge graphs. In this paper, we propose to build a domain-specific medi...
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Massimiliano Greco, Pier Francesco Caruso, Sofia Spano, Gianluigi Citterio, Antonio Desai, Alberto Molteni, Romina Aceto, Elena Costantini, Antonio Voza and Maurizio Cecconi
Background: Sepsis is one of the major causes of in-hospital death, and is frequent in patients presenting to the emergency department (ED). Early identification of high-risk septic patients is critical. Machine learning (ML) techniques have been propose...
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Subrat Kumar Bhattamisra, Priyanka Banerjee, Pratibha Gupta, Jayashree Mayuren, Susmita Patra and Mayuren Candasamy
Artificial intelligence (AI) is a branch of computer science that allows machines to work efficiently, can analyze complex data. The research focused on AI has increased tremendously, and its role in healthcare service and research is emerging at a great...
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Maryna Stasevych and Viktor Zvarych
The future of innovative robotic technologies and artificial intelligence (AI) in pharmacy and medicine is promising, with the potential to revolutionize various aspects of health care. These advances aim to increase efficiency, improve patient outcomes,...
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Alexander Shknevsky, Yuval Shahar and Robert Moskovitch
We propose a new pruning constraint when mining frequent temporal patterns to be used as classification and prediction features, the Semantic Adjacency Criterion [SAC], which filters out temporal patterns that contain potentially semantically contradicto...
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Tim Hulsen
Artificial Intelligence (AI) describes computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. Examples of AI techniques are machine learni...
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Peng Zhang and Maged N. Kamel Boulos
Generative AI (artificial intelligence) refers to algorithms and models, such as OpenAI?s ChatGPT, that can be prompted to generate various types of content. In this narrative review, we present a selection of representative examples of generative AI app...
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Miklos Vincze, Bela Molnar and Miklos Kozlovszky
Nowadays, virtual reality is a new and rapidly developing technology that provides the opportunity for a new, more immersive form of data visualization. Evaluating digitized pathological serial sections and establishing the appropriate diagnosis is one o...
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Alessio Bottrighi and Marzio Pennisi
Artificial intelligence (AI) is becoming increasingly important, especially in the medical field. While AI has been used in medicine for some time, its growth in the last decade is remarkable. Specifically, machine learning (ML) and deep learning (DL) te...
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Michele Basilicata, Giulia Marrone, Manuela Di Lauro, Eleonora Sargentini, Vincenza Paolino, Redan Hassan, Giuseppe D?Amato, Patrizio Bollero and Annalisa Noce
Gaucher disease (GD) is a lysosomal storage pathological condition, characterized by a genetic autosomal recessive transmission. The GD cause is the mutation of GBA1 gene, located on the chromosome 1 (1q21), that induces the deficiency of the lysosomal e...
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Chien-Yu Su and Kuu-Young Young
In facing the outbreak of the pandemic, robots are highly appealing for their non-contact nature. Among them, we have selected the mobile robot manipulator to develop an autonomous system for pandemic prevention, as it possesses both mobility and manipul...
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Jinguang Gu, Daiwen Wang, Danyang Hu, Feng Gao and Fangfang Xu
In medical texts, temporal information describes events and changes in status, such as medical visits and discharges. According to the semantic features, it is classified into simple time and complex time. The current research on time recognition usually...
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Sara Sá, Ruben Fernandes, Álvaro Gestoso, José Mário Macedo, Daniela Martins-Mendes, Ana Cláudia Pereira and Pilar Baylina
Cutibacterium acnes (C. acnes) is a Gram-positive anaerobic facultative bacterium that is part of the human skin commensal microbiome. It colonizes various regions of the body, including the face, back, and chest. While typically a harmless commensal, un...
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Michaela Cellina, Maurizio Cè, Marco Alì, Giovanni Irmici, Simona Ibba, Elena Caloro, Deborah Fazzini, Giancarlo Oliva and Sergio Papa
Digital twins are virtual replicas of physical objects or systems. This new technology is increasingly being adopted in industry to improve the monitoring and efficiency of products and organizations. In healthcare, digital human twins (DHTs) represent v...
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Lucrezia Lazzarini, Marco Civera, Vito Burgio, Mariana Rodriguez Reinoso, Paola Antonaci and Cecilia Surace
This study outlines a novel procedure for the Finite Element Modelling and Analysis of motocross knee braces under race conditions. The aim is to quantitatively evaluate the effectiveness of such stabilisers in reducing the risk and consequences of muscu...
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