The doctor is here! The Tutor tool is a tool developed by Medtiles that serves as a Medical Education Platform, backed by GenAI and featuring interactive clinical cases, a Medical AI assistant, and the possibility for students and professionals to generate cases from topics or bibliography. In this keynote, you will get to know the implementation process of the Tutor tool, and what makes it so engaging and specialized to every individual.

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This presentation introduces students to the world of clinical trials and the role of Contract Research Organizations (CROs) in bringing new medicines to patients. Using clear, real-world examples, it explains how clinical studies are designed, how data is collected and analyzed, and how different experts collaborate throughout the process. With a special focus on data and programming, the session highlights how skills developed in Clinical Bioinformatics- such as data analysis, statistics, and coding - are directly applicable to careers in clinical research. Students will gain insight into key roles such as statistical programming, data management, and biostatistics, as well as typical career paths within a CRO. The goal is to raise awareness of this often-overlooked career area, demonstrate its real-world impact, and help students understand how their academic training can lead to meaningful opportunities in the healthcare and pharmaceutical industries.

This work was developed by Ana Rita for her internship at Unilabs Genetics, within the Master in Clinical Bioinformatics (Genome specialization) at the University of Aveiro.

Rita's Metrics App is a bioinformatics application developed in Python and Shiny to perform genetic analysis, such as somatic case analysis and whole-exome sequencing quality analysis. The software also calculates statistical and coverage metrics, and provides graphical visualizations of coverage depth. In this keynote, you will get to know the development process of the application and view a demo of the application functioning.

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This work was developed by David for his dissertation at iBiMED, within the Master in Clinical Bioinformatics (Clinical Support specialization) at the University of Aveiro.

David's project analysed a comprehensive dataset of a phopho-base interactome of the Alzheimer's Amyloid Precursor Protein (APP), to understand the role of APP phosphorylation at S655 in neuronal differentiation. In this keynote, David will summarize his findings, and you will get a sneak peek of what it's like to work on a dissertation at iBiMED.

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This keynote focuses on Miguel Pais Vieira's current line of research, which is focused on brain-machine interfaces for sensorimotor integration and rehabilitation in humans. This approach combines the use of real-time analysis and decoding of neural activity (namely EEG) to control devices (such as an exoskeleton or an avatar in a virtual reality environment) while the user receives multimodal feedback (visual, auditory, tactile, and thermal).

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As technology reshapes every industry, healthcare is rapidly evolving—and students today will be at the forefront of that change. This keynote delves onto the current trends in digital health, including artificial intelligence, wearable devices, telemedicine, and smart diagnostics, showing how these tools are transforming patient care and opening new career paths across medicine, technology, and research. Whether you're in healthcare, engineering, or data science, this session will inspire you to be part of the future of medicine.

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BMD Software, based in Ílhavo, is at the forefront of innovation regarding biomedical applications, being the creators of solutions for clinicians, researchers, and health entities, and being featured on reference media such as Público, Antena 1, or RTP2. Solutions offered by BMD Software include Dicoogle Pro and PACScenter, CardioBox and NeoScreen. At Bionexus, BMD Software will exhibit their solutions and Research and Development project results.

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PowerBI is a unified, scalable platform for business intelligence (BI) and data visualization that converts data from various sources into interactive, actionable insights, which makes it a powerful tool for data modeling, and an important skill for aspiring data analysts. Adding Power BI skills and projects to your resume will show employers that you've got the data analysis skills they need and that you're already up and running with an analytics tool that they know integrates well with the other tools and the databases they're likely already using. In this three-hour workshop, you will get a comprehensive overview of Power BI and get to know the main features of the platform, including data importation, transformation, and modeling, as well as the creation of clear and interactive dashboards. Through practical examples and small data analyses, you will gain insight into how Power BI can be used to turn raw data into meaningful visual narratives that support decision-making and research activities. The workshop also intends to highlight the growing importance of data literacy and visualization skills across various academic and professional fields.

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This 3-hour workshop introduces students to Statistical Programming, a key but often unknown career path within clinical trials and the pharmaceutical industry. Designed for participants with no prior knowledge of CDISC standards, SAS programming, or the clinical trial environment, the session explains in simple terms how clinical data moves from collection to regulatory submission. Participants will learn how Statistical Programming teams in Contract Research Organizations (CROs) transform raw clinical data into standardized datasets (SDTM) and analysis-ready datasets (ADaM) to support statistical analysis and drug approval processes. The workshop combines short presentations with interactive, paper-based exercises that simulate real-world tasks - no software required. Students will organize sample clinical data using standard structures and derive simple analysis-ready summaries. The session also highlights required skills, typical professional interactions, and career development opportunities, helping Clinical Bioinformatics students discover a professional path they may not have previously considered.