Sycai

Sycai Medical is focused on helping radiologists and healthcare professionals in the early diagnosis of cancer in the abdomen. With their unique approach they have created a product that detects and characterizes pre-malignant lesions when they are still benign, automating further patient monitoring. The company based in Barcelona (Spain), was created by Sara Toledano, Javier García and Júlia Rodríguez in 2020 during the pandemic with the aim of using cutting-edge technologies to empower doctors and improve quality of life of patients.

Its solution is an AI-driven digital medical device that detects early cancer and pre-malignant lesions in the abdomen from medical imaging without any invasive test. Cancers of the pancreas, kidneys and liver are currently amongst the deadliest diseases because of the relatively late state from which detection is possible. Sycai Medical is the only platform that looks for the lesions/pathologies even when no one is looking for it. It analyses every medical imaging test, even if it is performed for a completely different reason. The software characterizes lesions which enables early diagnosis and automates patient monitoring. For oncologic patients under treatment, it helps healthcare professionals to better understand and quantify patient’s response to treatment. The software also allows for more accurate definition of benign lesions that will never develop cancer.

Role of institution in the project

Sycai Medical is involved in WP7 of the EUCAIM project, contributing a use case for AI validation through the EUCAIM platform.

Javier García López

Javier García López is a robotics engineer from the Universidad Politécnica de Madrid with a master’s degree in informatics from the Technische Universität München and PhD in computer vision from the Universitat Politècnica de Catalunya. He has more than ten years of experience working in private companies and research centers. Throughout this time, he has delved into the study of computational sciences, particularly, AI, NN, ML and agile and software development methodologies. Since 2020 he is co-founder and CTO of Sycai Medical, a startup based in Barcelona (Spain) that aims to revolutionize imaging diagnosis through Deep Learning methods and Big Data. He has several patents and scientific publications and has been for 5 years Assistant Professor at University Pontificia of Comillas (ICAI) teaching computer vision and Deep Learning. Javier is passionate about technology, social impact and team work, all three he can apply on a daily basis at Sycai Medical.

Sara Toledano Sáez

Sara Toledano Sáez (CEO) is an accomplished leader with a passion for engineering and innovation. Holding a five-year degree in Mechanical Engineering from Universidad Politécnica de Madrid, an MSc in Automotive Engineering from the Technical University of Munich, and an MBA, Sara has built a remarkable career bridging technology and business. With over a decade of experience in Spain and Germany, she has led transformative R&D and innovation projects for top-tier companies like AUDI, MAN Truck & Bus, and SEAT. Her work has been recognized internationally, with three patents to her name. In 2020, she co-founded SYCAI Medical, where she serves as General Manager and President of the Board of Directors, driving the company's vision and strategic growth at the forefront of the medical technology sector.

Júlia Rodríguez-Comas

Júlia Rodríguez-Comas (CSO, Co-founder, and Board Member at Sycai Medical) holds a PhD in Biomedicine from the Universitat de Barcelona (UB), a degree in Biology from the Universitat Autònoma de Barcelona, and a master's degree in Integrative Physiology from the UB. She has over seven years of academic experience as a PhD candidate and postdoctoral researcher at leading institutions such as IDIBAPS (August Pi i Sunyer Biomedical Research Institute) and the Institute for Bioengineering of Catalonia (IBEC), where she contributed to cutting-edge projects, including the development of organ-on-a-chip technology. With an h-index of 13, she has also been involved in university teaching and academic mentoring, supervising PhD and master's students. As Clinical Director of Sycai Medical, she leads clinical investigations, ensuring the validation and integration of AI-driven solutions in healthcare.

Meritxell Riera i Marín

Meritxell Riera i Marín is a PhD candidate (Industrial Doctorate) at Sycai Medical and the SIMBIOsys group at Universitat Pompeu Fabra (UPF). She holds a degree in Telecommunications Engineering from Universitat Politècnica de Catalunya (UPC) and participated in a Double Degree Program, earning a Master in Telecommunications Engineering at UPC and the Master in Electronics, Electrical Energy, and Automation (MEE) with the Signal, Image, Systems, and Automation (SISEA) track at the Grande École of IMT Atlantique Bretagne – Pays de la Loire. She has experience as both a software developer and a researcher applying artificial intelligence to the medical sector. As the main organizer of the Calibration and Uncertainty for Multi-Rater Volume Assessment in Multiorgan Segmentation (CURVAS) challenge, her research focuses on developing robust AI-driven medical image analysis algorithms and trustworthy evaluation methods, with applications in radiology and clinical decision support.

Join the EUCAIM Consortium

Open Call for New Beneficiaries

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Whether you’re a data holder with valuable cancer images or an innovator developing AI tools for precision medicine, this is your chance to contribute to a groundbreaking project.

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