The AI in Medicine Bootcamp is a flagship capacity-building initiative co-organised by Universiti Malaya and MRANTI, designed to cultivate interdisciplinary talent capable of developing AI-driven healthcare solutions with real-world impact. The bootcamp reflects a deliberate shift from siloed training towards problem-driven innovation, where clinical needs, technical expertise, and translational thinking converge from the outset.

Conducted in an intensive three-day bootcamp format, the programme brought together students from medicine, engineering, and computer science into interdisciplinary teams. Participants were challenged to identify and solve pressing healthcare problems relevant to Malaysia, ranging from diagnostics and care pathways to system efficiency and patient experience. Rather than working on hypothetical cases, teams were grounded in real clinical problem settings contributed by PPUM clinicians, ensuring authenticity, relevance, and clinical credibility.

Clinicians played a central role in guiding problem formulation, contextualising constraints, and validating proposed solutions. This clinical grounding was complemented by the technical strengths of engineering and computer science participants, who translated needs into AI-enabled workflows, system architectures, and prototypes. Teams were further guided using product design thinking and business model methodologies, enabling them to articulate not only technical feasibility, but also usability, sustainability, and pathways to adoption.

The bootcamp culminated in project pitches evaluated for clinical impact, feasibility, scalability, and potential for real-world uptake, with particular attention to solutions that could seed future pilots, clinical deployment, or commercialisation.Overall, the AI in Medicine Bootcamp serves as a living laboratory for talent development, demonstrating how interdisciplinary collaboration, clinician co-creation, and innovation methodology can seed future healthcare platforms. It reinforces Universiti Malaya’s leadership in nurturing future-ready talent and accelerating the translation of AI innovation into meaningful clinical and societal impact.