Digital Transformations in Oncology

"Digital Transformations in Oncology" course serves as a key component of the Digital Transformations in Health and Wellbeing micro-programme within the HUB5 - CIVIS network, focusing on the integration of digital solutions and artificial intelligence to revolutionize cancer diagnosis, treatment, and monitoring.
The whole micro-programme consist of a set of 5 courses as follows:

C1: Digital and Technological Transformation: Social Challenges Across Domains offered by Universidad Autónoma de Madrid

C2: EU Law and the Use of Artificial Intelligence Tools in Health and Wellbeing offered by Eberhard Karls Universität Tübingen

C3: Artificial Intelligence Tools in Health and Wellbeing offered by Aix-Marseille Université

C4: Digital Transformations in Oncology offered by University of Bucharest

C5: New Technologies in the Diagnostic and Treatment of Cancer offered by Aix-Marseille Université

These courses will be offered independently by each coordinating university during the academic year. Students graduating each course will receive transcript of records from each coordinating university. Students graduating all 5 courses will additionally receive a certificate for the whole microprograme from the University of Bucharest.

The lecturers of this course are from the University of Bucharest (Romania) and will host several partners from international companies that will give real input from the industry. They invite bachelor’s level students to join them on a journey to discover how oncology meets the digital era.

This course aims to introduce bachelor’s-level students to foundational digital tools and techniques that are becoming essential in cancer care. Designed as an introductory course, it focuses on building basic knowledge of AI, digital imaging, bioinformatics, and telemedicine, emphasizing their role in oncology. Students will gain a practical understanding of these technologies, preparing them to apply this knowledge in further studies or to explore emerging trends in digital healthcare, laying the groundwork for more advanced applications in the field.

Main Topics Addressed

The curriculum covers foundational modules, including:

• Introduction to Oncology and Digital Transformation
• Digital Imaging in Oncology
• Digital Diagnostics and Imaging
• Introduction to Personalized Medicine
• Introduction to genomics and bioinformatics
• Remote Patient Monitoring
• Digital Therapeutics and Robotics in Oncology
• Integrative Case Studies and Future Trends

Learning Outcomes

By the end of this course, the students will be able to:

• Describe basic digital imaging methods and understand their role in cancer diagnosis.
• Explain how AI and machine learning can support cancer treatment planning and predict patient outcomes.
• Identify key bioinformatics tools used in analyzing genetic data and their importance in personalized medicine.
• Summarize the role of telemedicine in improving patient care and recognize its applications in remote cancer monitoring.
• Recognize the applications of wearable devices and robotics in oncology, such as continuous health monitoring and assisting in precise surgical procedures.

Each module includes lectures, case studies, and hands-on seminars using digital tools for imaging analysis and bioinformatics platforms. Through these activities, students will apply theoretical insights to real-world cancer cases, solving complex problems and evaluating current digital oncology practices.

Read more about the micro - programme