Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.
SPECIAL SESSIONS LIST
CI-MII 2025, Special Session on Computational Intelligence and Privacy of Medical Images in Artificial Intelligence Era
Chair(s): Mamoon Rashid and Mohammad Arif Siddiqui
WHC 2025, Special Session on Wearable HealthCare
Chair(s): Vítor Carvalho, Filomena Soares, José Machado and Demétrio Matos
SAI4PE 2025, Special Session on Sensor-based Artificial Intelligence for Patient Empowerment
Chair(s): Ivan Miguel Pires and Paulo Jorge Coelho
DECIDE 2025, Special Session on Data- and thEory-driven approaChes to personalized braIn medicine: from diagnosis to treatment
Chair(s): Vassilis Cutsuridis
microOrganChip 2025, Special Session on Organ on Chip Micro-Devices
Chair(s): Hadar Ben-Yoav, Gad Vatine and Janina Bahnemann
EM4Health 2025, Special Session on Electromagnetic waves for healthcare
Chair(s): Hugo Dinis and P. M. Mendes
DEMS 2025, Special Session on Design and Evaluation of Monitoring Systems
Chair(s): Eunji Lee
SyntBioGen 2025, Special Session on Synthetic biosignals generation for clinical applications
Chair(s): Luís Silva, Marília Barandas, Ines Sousa and Ricardo Melo
Special Session on Computational Intelligence and Privacy of Medical Images in Artificial Intelligence Era -
CI-MII
2025
Paper Submission:
December 18, 2024
Authors Notification:
January 14, 2025
Camera Ready and Registration:
January 22, 2025
Scope
The fields of medical imaging informatics and biomedical engineering play an important role in the effectiveness of present-day healthcare systems. Advancement in terms of technologies like metaverse, artificial intelligence, big data analytics, and internet of things contribute greatly in various healthcare applications. In support to these technologies, computational intelligence methodologies help in addressing complex medical imaging problems and play a major role in imaging techniques like Magnetic Resonance Imaging (MRI), Computed Tomography (CT), Positron Emission Tomography (PET), Functional Magnetic Resonance Imaging (fMRI) etc. In this special issue, articles are expected where computational intelligence research and technologies are applied for medical image analysis for insights.
Special Session on Wearable HealthCare -
WHC
2025
Paper Submission:
December 18, 2024
Authors Notification:
January 14, 2025
Camera Ready and Registration:
January 22, 2025
Scope
Wearable HealthCare is part of the actual human daily life. Nowadays, we are able to find these devices and systems practically everywhere, as integrated, among others, in our homes, body, mobile devices and vehicles, with the objective of improving our safety, comfort, performance and quality of life.
Following this trend, we invite investigators, academics and professionals to submit original research and review articles that will contribute to the dissemination of Wearable HealthCare in the Engineering domain.
Special Session on Sensor-based Artificial Intelligence for Patient Empowerment -
SAI4PE
2025
Paper Submission:
December 18, 2024
Authors Notification:
January 14, 2025
Camera Ready and Registration:
January 22, 2025
Scope
Artificial intelligence (AI) empowers patients by analyzing large data sets to provide personalized insights, forecasts, and treatment suggestions. It can tailor treatment plans using genetic, medical, and current health data. AI predicts health risks, detects illnesses early, and aids in developing personalized medications. Empowered patients better understand their health, follow treatment plans, and maintain communication with healthcare providers. Real-time health monitoring through wearables and sensors enhances patient care by allowing quick responses to health changes. AI integration in healthcare systems improves patient care, reduces staff workload, and manages chronic illnesses. Challenges include ensuring patient privacy, addressing the digital divide, and making AI decisions understandable.
Special Session on Data- and thEory-driven approaChes to personalized braIn medicine: from diagnosis to treatment -
DECIDE
2025
Paper Submission:
December 18, 2024
Authors Notification:
January 14, 2025
Camera Ready and Registration:
January 22, 2025
Scope
Deciding the right diagnosis, the best treatment and predicting the evolution of the disease is of paramount importance in personalized medicine. Diseases are dynamic and very heterogeneous. Etiologies are complex and often several hypotheses are needed to explain their pathogenesis. This is because studies carried out isolate the effects of a single mechanism and not the interaction of many mechanisms. This leads to a set of conflicting results difficult to interpret. Data-driven (ML/DL) and theory driven (Dynamical models) approaches dealing with diverse data are increasingly used in medicine. Bridging the gap between data- and theory-driven approaches is the central theme of the special session. Real progress in personalized medicine can only be made via such cross-disciplinary interactions.
Special Session on Organ on Chip Micro-Devices -
microOrganChip
2025
Paper Submission:
December 18, 2024
Authors Notification:
January 14, 2025
Camera Ready and Registration:
January 22, 2025
Scope
Study of the human body and organs physiology traditionally involves monolayer culture cells and animal models. However, transferability of these models is very limited since not all species-specific mechanisms can be replicated; importantly, tested drugs and diets that show results in animal models do not have the same effect in humans. Organ-on-chip (OOC) devices emerge as a novel physiological model devoid of these drawbacks. The OOC goal is to mimic cell and tissue structures under their physiological conditions. OOC architecture benefits from the advantages of both in-vivo and in-vitro systems, allowing the study of physiology, pathology, and pharmacology. OOC devices have the potential to bring cell culture models into greater alignment with human physiology than animal models have ever achieved.
Special Session on Electromagnetic waves for healthcare -
EM4Health
2025
Paper Submission:
December 18, 2024
Authors Notification:
January 14, 2025
Camera Ready and Registration:
January 22, 2025
Scope
Electromagnetic waves play a fundamental role in healthcare. For example, wireless communication and wireless power transfer are technologies that support the operation of biodevices such as wearables and implants. EM waves are also used for sensing and actuation in the human body, with applications such as optogenetics, Transcranial Magnetic Stimulation, RF ablation, photoacoustics and photodynamic therapy.
Researchers are invited to submit original research and review articles that are related to the use of EM waves in biodevices.
Special Session on Design and Evaluation of Monitoring Systems -
DEMS
2025
Scope
This session will explore innovative approaches to designing monitoring systems that can enhance healthcare delivery and patient outcomes. Topics will include service design, user-centred design, integration of wearable and/or IoT technologies, synthetic data and sandboxes, and the role of artificial intelligence in optimizing monitoring and diagnostics. The session will also address challenges such as interoperability and usability in diverse healthcare settings. We welcome contributions that present case studies, novel frameworks, and design methodologies aimed at creating effective, scalable, and accessible monitoring solutions for various types of patients or general population.
Special Session on Synthetic biosignals generation for clinical applications -
SyntBioGen
2025
Paper Submission:
December 18, 2024
Authors Notification:
January 14, 2025
Camera Ready and Registration:
January 22, 2025
Scope
Synthetic biosignals for clinical applications have emerged as powerful tools in healthcare, enabling researchers to generate large-scale datasets for training AI models, conducting data augmentation tasks, and overcoming data privacy challenges. However, generating high-quality synthetic data that accurately reflects real-world clinical scenarios remains a critical challenge.
This special session will focus on recent advances in synthesizing biosignals, such as ECG, EEG, and other clinical data streams, with a special emphasis on methods for evaluating the quality of generated data. The session will explore both quantitative metrics, such as statistical and signal processing measures, and qualitative assessments involving expert clinical evaluations. Accurate biosignal synthesis is key to improving AI-driven clinical decision support systems, diagnostic models, and personalized healthcare interventions.