AI in Prostate Cancer Care: From Multimodal Data to Precision Treatment I Dr Hein Minn Tun

Hosted by Assoc Prof Dr Zheng Feei Ma | In conversation with Dr Hein Minn Tun (Universiti Brunei Darussalam) Multimodal AI For Prostate Cancer Care: Hein described their doctoral research at the Universiti Brunei Darussalam, where they developed a multimodal AI model to help oncologists navigate complex prostate-cancer treatment options using longitudinal clinical, laboratory, imaging, and treatment data.06:18 Prostate Cancer Findings And Targeted Screening: In response to Zheng’s questions, Hein reported findings on younger patients, obesity, survival differences, and laboratory trends, and recommended targeted awareness and screening strategies rather than universal testing.22:19 Doctoral Completion Strategies: Hein explained to Zheng that completing a PhD on time depends on choosing a meaningful project, planning before implementation, avoiding procrastination, setting short deadlines, and accounting for institutional factors such as the viva process.29:00 Responsible AI Use In Research And Teaching: Hein told Zheng that AI can support brainstorming, language improvement, learning, and coding, but researchers and students must understand, validate, and explain AI-generated content rather than delegate their academic work to AI.33:12 Teaching Opportunities During The PhD: Hein answered Zheng’s questions about student-facing experience by explaining that teaching is not compulsory in their Brunei program, although supervisors provide opportunities for presentations, sharing sessions, and occasional instruction in public-health and programming topics.37:59 Future Research And Implementation Plans: After completing the PhD, Hein plans to validate the prostate-cancer model prospectively, publish their longitudinal-data approach, develop a dementia-risk tool using video and audio, and pursue targeted public-health implementation research through postdoctoral collaboration.44:17