This paper introduces a novel framework for addressing domain adaptation challenges in large language models (LLMs), emphasising privacy-preserving synthetic data generation and efficient fine-tuning. The proposed framework employs a multi-stage approach that includes document ingestion, relevance assessment, and automated dataset creation. This process reduces the need for extensive technical expertise while safeguarding data privacy. We evaluate the framework’s performance on domain-specific tasks in fields such as biobanking and public health, demonstrating that models fine-tuned using our method achieve results comparable to larger proprietary models. Crucially, these models maintain their general instruction-following capabilities, even when adapted to specialised domains, as shown through experiments with 7B and 8B parameter LLMs. Key components of the framework include continuous pre-training, supervised fine-tuning (SFT), and reinforcement learning methods such as direct preference optimisation (DPO), which together provide a flexible and configurable solution for deploying LLMs. The framework supports both local models and API-based solutions, making it scalable and accessible. By enabling privacy-preserving, domain-specific adaptation without requiring extensive expertise, this framework represents a significant step forward in the deployment of LLMs for specialised applications. The framework significantly lowers the barrier to domain adaptation for small- and medium-sized enterprises (SMEs), enabling them to utilise the power of LLMs without requiring extensive resources or technical expertise.

Through this paper, we present the initial steps for the creation of an integrated platform for the provision of a series of eHealth tools and services to both citizens and travelers in isolated areas of thesoutheast Mediterranean, and on board ships travelling across it. The platform was created through an INTERREG IIIB ARCHIMED project called INTERMED. The support of primary healthcare, home care and the continuous education of physicians are the three major issues that the proposed platform is trying to facilitate. The proposed system is based on state-of-the-art telemedicine systems and is able to provide the following healthcare services: i) Telecollaboration and teleconsultation services between remotely located healthcare providers, ii) telemedicine services in emergencies, iii) home telecare services for "at risk" citizens such as the elderly and patients with chronic diseases, and iv) eLearning services for the continuous training through seminars of both healthcare personnel (physicians, nurses etc) and persons supporting "at risk" citizens. These systems support data transmission over simple phone lines, internet connections, integrated services digital network/digital subscriber lines, satellite links, mobile networks (GPRS/3G), and wireless local area networks. The data corresponds, among others, to voice, vital biosignals, still medical images, video, and data used by eLearning applications. The proposed platform comprises several systems, each supporting different services. These were integrated using a common data storage and exchange scheme in order to achieve system interoperability in terms of software, language and national characteristics. The platform has been installed and evaluated in different rural and urban sites in Greece, Cyprus and Italy. The evaluation was mainly related to technical issues and user satisfaction. The selected sites are, among others, rural health centers, ambulances, homes of "at-risk" citizens, and a ferry. The results proved the functionality and utilization of the platform in various rural places in Greece, Cyprus and Italy. However, further actions are needed to enable the local healthcare systems and the different population groups to be familiarized with, and use in their everyday lives, mature technological solutions for the provision of healthcare services.

Immersive technologies are gaining momentum in professional training. Advanced AR/VR and gaming technologies allow for authentic learning experiences that are close to real‑life conditions, problems, and applications, something that can revolutionise fields like medical training, which traditionally relied on textbook‑based theoretical education and clinical placements. The present paper discusses the application of advanced gaming and immersion technologies for the continuous training of physiotherapists. Presently, this professional group remains largely underserved by online training services. The paper argues that the inherent complexity of physical therapy training could be served effectively by immersive learning innovations and professionals could benefit greatly. The paper applies the Design Science Research Methodology (DSRM) to design a suitable training solution for the promotion of authentic, comprehensive learning. Our analysis targets and consolidates the findings from three distinct pillars: (a) the requirements of the application area in question; (b) the current state‑of‑the‑art and emerging directions in game‑based professional education and training; and (c) existing applications of game‑based learning in the field of healthcare. Subsequently, the paper consolidates the findings to produce the system requirements and presents the design of a prototype training environment for physiotherapists that builds on advanced gaming technologies. Within the proposed system design, augmented reality modules are embedded alongside the game simulation and virtual world environment to provide participants with an authentic simulated game scenario in which to immerse themselves.

Tile-Ippokratis proposed an integrated platform for the provision of low-cost ehealth services to citizens in southeast Mediterranean area (Island of Chios and Cyprus). The aim of the paper is to present the architecture, the design, and the evaluation results of this platform. The platform based on already evaluated state-of-the-art mobile ehealth systems and using wireless and terrestrial telecommunication networks is able to provide the following health care services: (i) telecollaboration and teleconsultation services between health care personnel and between health care personnel and patients and (ii) ehealth services for “at risk” citizens such as elderly and patients with chronic diseases (Island of Chios) and postsurgery patients (Cyprus). The ehealth systems supported capabilities for vital signal measurements (ECG 1 lead, SPO2, HR, BP, weight, and temperature), an Electronic Patient Record (EPR) infrastructure, and video conference, along with communication gateways for data transmission over ADSL, GPRS, and WLAN networks.

Background: Patient and public involvement (PPI) is increasingly recognised as essential for meaningful, equitable, and impactful health and social care research. Co-creation is a promising involvement approach, but it faces barriers to enable its optimal potential. Digital technologies have the potential to overcome these challenges and strengthen the participatory process, but the specific technology needs that underpin effective participation and engagement remain underexplored. Methods: We conducted a comprehensive scoping review of 60 peer-reviewed studies to systematically map the digital technology needs supporting co-creation processes. Needs were extracted and thematically analysed, resulting in a structured synthesis. Results: A total of 337 distinct digital technology needs were identified and organised into five thematic areas: Ensuring Integrity, Enabling Methodology, Cognitive Needs, Group Dynamics, and Process Management. While most needs focused on functional attributes, non-functional characteristics, such as usability, scalability, and inclusivity, emerged as critical for meaningful patient and public engagement. The review highlights the fragmented articulation of technology needs across disciplines and settings. It proposes a structured framework to make latent needs visible, align stakeholder perspectives, and guide the development of digital tools. The emerging role of artificial intelligence in supporting hybrid models of involvement, along with the associated ethical challenges, is also discussed. Conclusion: This review provides the first thematic framework for understanding and addressing digital technology needs in co-creation. The findings offer a foundation for researchers, practitioners, and policy-makers within health and social care to develop and implement digital tools that enhance accessibility, engagement, and impact of participatory processes. Future research should validate and refine these insights in partnership with patients, service users, and diverse communities to ensure technological solutions foster truly inclusive and effective involvement.

This paper presents a web service and a deep learning (DL) pipeline that has been developed and implemented as part of the MSCA Health CASCADE project. The purpose of the web service is to provide support, streamline, and enable participatory methods, such as co-creation, in the public health domain. The DL pipeline assists with translation, transcription, speaker diarization, relation extraction, and summarization of audio recordings. This is achieved by removing the need for time-consuming tasks, such as translating and transcribing audio recordings. Additional value is created by extracting implicit relations from the transcribed text and identifying patterns, key themes, and trends. Finally, providing summaries of the transcripts creates a sense of ownership that can improve stakeholder retention in participatory methods.