Dr. Nur Afny Catur Andryani

BINUS University, Indonesia

Advancing Universal Health Coverage through Affordable Health Technology in Low-Resource Settings

Universal Health Coverage (UHC) is one of the most concerns in SDGs 3 especially for countries with wide rural areas. It requires innovative solutions tailored for the challenging issues on various aspects of: low resource environment, people literacy and regulation.

This workshop presents how affordable health technology is designed to support the UHC. Particularly, those powered by Artificial Intelligence (AI) can support healthcare equity in regions with limited financial and supporting technology resources.

We will highlight the role of AI model compression techniques such as quantization, pruning, and knowledge distillation that enable the deployment of diagnostic and decision-support tools on affordable, low-power devices.

Designed for technologists, health professionals, and policymakers alike, this workshop provides practical insights and real-world case studies on how frugal innovation and inclusive design can bring intelligent healthcare solutions to the last mile—supporting the global mission of UHC in a sustainable and scalable way.

BIOGRAPHY

NUR AFNY CATUR ANDRYANI is a faculty member at BINUS University, Indonesia, and was a visiting scholar at KU Leuven, Belgium. She serves as Chair of IEEE Women in Engineering Indonesia, where she advocates for women's empowerment and advancement in engineering and technology. Her research focuses on the application of AI in healthcare and imaging science, particularly in developing diagnostic tools to improve healthcare delivery. She promotes interdisciplinary collaboration across engineering, medicine, and technology to drive innovation in healthcare systems. Alongside her expertise in AI and healthcare, she is also interested in AI governance and ethical AI, especially within educational contexts.