The emergence and rapid advancement of artificial intelligence (AI) has the potential to transform the future of medicine and medical sciences. AI-driven technologies are being rapidly integrated into healthcare, offering unprecedented opportunities for diagnostics, treatment optimization, and predictive modeling. However, the widespread adoption of AI also presents challenges, including concerns about data integrity, algorithmic performance, and the impact on clinical decision-making.

At the Hswen Lab, we focus on developing robust AI methodologies that enhance medical and public health applications. Our research aims to improve the accuracy, efficiency, and scalability of AI-driven models in epidemiology, digital health surveillance, and biomedical informatics.

We specialize in the evaluation, optimization, and application of artificial intelligence and machine learning to ensure these technologies are effectively integrated into healthcare systems, enhancing predictive capabilities and improving population health outcomes.