Last month, The Straits Times reported on the growing use of AI in Singaporean hospitals, from predicting patient deterioration to optimizing staff schedules (The Straits Times, June 22, 2024). The article described how algorithms now help doctors spot subtle warning signs in ICU patients and how chatbots support both patients and healthcare workers with round-the-clock information.
As a student passionate about both biology and data, this article made me think about how biomedical science is no longer confined to test tubes and microscopes. Modern medicine now involves coding, big data, and even machine learning. In my school’s computing class, we built a simple algorithm to analyze health data, and I was amazed at how quickly the computer could find patterns no human could see.
But the article also made me think about the risks: What if the AI gets it wrong? Who is responsible? I learned that technology must always be paired with human judgment and compassion. Reading this, I want to help develop tools that are reliable, ethical, and truly serve patients. The future of biomedical science, in Singapore and everywhere, will be shaped by those who can bridge the gap between innovation and care.
Clara Tan
- Singapore
- Female
- Year 10, Raffles Institution
- Intended Major: Biomedical Sciences
- Role: Science Editor
- Introduction:Driven by curiosity and compassion, I love exploring the intersection of science and society. As Science Editor, I seek out stories that make complex research accessible and relevant. My goal is to contribute to medical breakthroughs and advocate for health equity through biomedical science.