A groundbreaking AI-powered tool for screening latent tuberculosis (TB) is being developed by Thailand's National Science and Technology Development Agency (NSTDA) in partnership with Khon Kaen University and public health agencies in Health Region 7. This innovative system, known as SERS-TB, combines Surface-Enhanced Raman Spectroscopy (SERS) with AI analysis to detect latent TB in blood samples. Researchers believe this technology is crucial for reducing TB prevalence in Northeast Thailand by 2035. The SERS-TB system employs a nano-structured silver chip to enhance biomolecular signals from blood plasma, allowing for rapid testing. Traditional laboratory methods take one or two days, but this new approach can yield results in under an hour, and sometimes just minutes. Noppadol Nantawong from Nectec emphasized that the tool aims to alleviate healthcare workers' workloads and make TB screening more accessible in communities. Dr. Wipa Reechaipichitkul from Khon Kaen University noted its potential to expedite screening in remote areas. A field demonstration of the prototype was planned for May 24–26 in Roi Et and Khon Kaen, enabling researchers to adapt the technology for real hospital workflows.