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View article: Digital Twins for Monitoring Neuromotor Development in Preterm Infants: Conceptual Framework and Proof-of-concept Study
Digital Twins for Monitoring Neuromotor Development in Preterm Infants: Conceptual Framework and Proof-of-concept Study Open
Preterm birth leads to an increased risk of long-term consequences, with over 50% of children born <30 weeks facing motor, cognitive, or behavioural impairments. Early monitoring of motor developmental trajectories, strongly associated wit…
View article: Distributing intelligent functionalities in the Internet of Things with agents and Digital Twins
Distributing intelligent functionalities in the Internet of Things with agents and Digital Twins Open
View article: Privacy-preserving LLM-based chatbots for hypertensive patient self-management
Privacy-preserving LLM-based chatbots for hypertensive patient self-management Open
View article: Open-source small language models for personal medical assistant chatbots
Open-source small language models for personal medical assistant chatbots Open
Medical chatbots are becoming essential components of telemedicine applications as tools to assist patients in the self-management of their conditions. This trend is particularly driven by advancements in natural language processing techni…
View article: Evaluating Machine Learning Models against Clinical Protocols for Enhanced Interpretability and Continuity of Care
Evaluating Machine Learning Models against Clinical Protocols for Enhanced Interpretability and Continuity of Care Open
In clinical practice, decision-making relies heavily on established protocols, often formalised as rules. Concurrently, Machine Learning (ML) models, trained on clinical data, aspire to integrate into medical decision-making processes. How…
View article: Correction to: Predicting metabolic responses in genetic disorders via structural representation in machine learning
Correction to: Predicting metabolic responses in genetic disorders via structural representation in machine learning Open
In this article, the header “Binary Morgan with added properties” in Table 2 has been incorrectly processed as “Binary Morgan” during the production process. The correct Table 2 should be as given below, and the original article …
View article: Predicting metabolic responses in genetic disorders via structural representation in machine learning
Predicting metabolic responses in genetic disorders via structural representation in machine learning Open
Metabolomics has emerged as a promising discipline in pharmaceuticals and preventive healthcare. However, analysing large metabolomics datasets remains challenging due to limited and incompletely annotated biological pathways. To address t…
View article: Combining artificial intelligence and conventional statistics to predict bronchopulmonary dysplasia in very preterm infants using routinely collected clinical variables
Combining artificial intelligence and conventional statistics to predict bronchopulmonary dysplasia in very preterm infants using routinely collected clinical variables Open
Background Prematurity is the strongest predictor of bronchopulmonary dysplasia (BPD). Most previous studies investigated additional risk factors by conventional statistics, while the few studies applying artificial intelligence, and speci…
View article: Medical-informed machine learning: integrating prior knowledge into medical decision systems
Medical-informed machine learning: integrating prior knowledge into medical decision systems Open
View article: Exploring machine learning for untargeted metabolomics using molecular fingerprints
Exploring machine learning for untargeted metabolomics using molecular fingerprints Open
In conclusion, the presented approach leverages the strengths of drug discovery to address critical issues in metabolomics research and aims to bridge the gap between these two disciplines. This work lays the foundation for future research…
View article: Agent-based systems in healthcare
Agent-based systems in healthcare Open
View article: MADTECC 2024: 1st Workshop on Medical Applications with Digital Twins and Edge-cloud Continuum - Welcome and Committees
MADTECC 2024: 1st Workshop on Medical Applications with Digital Twins and Edge-cloud Continuum - Welcome and Committees Open
The MADTECC 2024 chairs welcome you to the 1st Workshop on Medical Applications with Digital Twins and Edge-cloud Continuum - MADTECC 2024, held at PerCom 2024. The aim of the MADTECC workshop is to discuss novel research and heat the expe…
View article: Interpretable Machine learning for the Cesarean Section Risk Identification in Epidural Analgesia
Interpretable Machine learning for the Cesarean Section Risk Identification in Epidural Analgesia Open
Despite scientific evidence to the contrary, a recent Italian report found an unexpected increase in Cesarean section rates when epidural analgesia was used. In response, we conducted a study on a dataset acquired at M. Bufalini Hospital i…
View article: EP01.01-12 Binge-Watching Frequency and Tobacco Use in Adolescents: Data from “Blaam Smoke-Free Movie” Program
EP01.01-12 Binge-Watching Frequency and Tobacco Use in Adolescents: Data from “Blaam Smoke-Free Movie” Program Open
View article: Data Decentralisation of LLM-Based Chatbot Systems in Chronic Disease Self-Management
Data Decentralisation of LLM-Based Chatbot Systems in Chronic Disease Self-Management Open
Chronic patient self-management is crucial for maintaining physical and psychological health, reducing pressure on healthcare systems, and promoting patient empowerment. Digital technologies, particularly chatbots, have emerged as powerful…
View article: A Chatbot-based Recommendation Framework for Hypertensive Patients
A Chatbot-based Recommendation Framework for Hypertensive Patients Open
Chatbot-based systems are recognised in literature as an effective tool to support chronic diseases self-management. However, the core of most of this work is on the description of the application domain and on the motivations behind the a…
View article: A survey on agents applications in healthcare: Opportunities, challenges and trends
A survey on agents applications in healthcare: Opportunities, challenges and trends Open
View article: Machine Learning in Hypertension Detection: A Study on World Hypertension Day Data
Machine Learning in Hypertension Detection: A Study on World Hypertension Day Data Open
View article: Machine learning in hypertension detection: a study on World Hypertension Day data
Machine learning in hypertension detection: a study on World Hypertension Day data Open
Background: Many modifiable and non-modifiable risk factors have been associated with hypertension. However, current screening programs are still failing in identifying individuals at higher risk of hypertension. Given the major impact of …
View article: Web of Digital Twins
Web of Digital Twins Open
In recent years, digital twins have been pervading different application domains—from manufacturing to healthcare—as an approach for virtualising different kinds of physical entities (things, products, machines). The dominant view develope…
View article: Applying Telemedicine for Stroke Remote Diagnosis: the TeleStroke System
Applying Telemedicine for Stroke Remote Diagnosis: the TeleStroke System Open
View article: Augmenting BDI Agency with a Cognitive Service: Architecture and Validation in Healthcare Domain
Augmenting BDI Agency with a Cognitive Service: Architecture and Validation in Healthcare Domain Open
View article: An Internet of Medical Things System to Increase Continuous Positive Airway Pressure Usage in Patients with Sleep-Disordered Breathing
An Internet of Medical Things System to Increase Continuous Positive Airway Pressure Usage in Patients with Sleep-Disordered Breathing Open
Obstructive sleep apnea (OSA) is a highly prevalent sleep disorder associated with increased daytime sleepiness and cardiovascular risk. Continuous positive airway pressure (CPAP), requiring a pressure-generating device connected via tubin…
View article: Pervasive and Connected Digital Twins—A Vision for Digital Health
Pervasive and Connected Digital Twins—A Vision for Digital Health Open
Healthcare is a main domain where digital twins are being explored and applied. Following a healthcare 4.0 perspective, in this paper we discuss a vision in which digital twins are pervasively used to digitalize any strategic assets of a h…
View article: Xenobiotic-Free Medium Guarantees Expansion of Adipose Tissue-Derived Canine Mesenchymal Stem Cells Both in 3D Fibrin-Based Matrices and in 2D Plastic Surface Cultures
Xenobiotic-Free Medium Guarantees Expansion of Adipose Tissue-Derived Canine Mesenchymal Stem Cells Both in 3D Fibrin-Based Matrices and in 2D Plastic Surface Cultures Open
Mesenchymal stem cells (MSCs) have been recently introduced in veterinary medicine as a potential therapeutic tool for several pathologies. The large-scale in vitro expansion needed to ensure the preparation of a suitable number of MSCs fo…
View article: Complementing Agents with Cognitive Services: A Case Study in Healthcare
Complementing Agents with Cognitive Services: A Case Study in Healthcare Open
View article: On the Integration of Agents and Digital Twins in Healthcare
On the Integration of Agents and Digital Twins in Healthcare Open
A digital twin is a digital representation of a physical asset reproducing its data model, its behaviour and its communication with other physical assets. Digital twins act as a digital replica for the physical object or process they repre…
View article: Guest Editorial: Healthcare Intelligent Multi Agent Systems
Guest Editorial: Healthcare Intelligent Multi Agent Systems Open
View article: The Impact of Self-Loops on Boolean Networks Attractor Landscape and Implications for Cell Differentiation Modelling
The Impact of Self-Loops on Boolean Networks Attractor Landscape and Implications for Cell Differentiation Modelling Open
Boolean networks are a notable model of gene regulatory networks and, particularly, prominent theories discuss how they can capture cellular differentiation processes. One frequent motif in gene regulatory networks, especially in those cir…
View article: The Effects of a Simplified Model of Chromatin Dynamics on Attractors Robustness in Random Boolean Networks with Self-loops: An Experimental Study
The Effects of a Simplified Model of Chromatin Dynamics on Attractors Robustness in Random Boolean Networks with Self-loops: An Experimental Study Open