SIU School of Medicine’s 2025 Distinguished Donors of the Year are a remarkable couple whose unwavering generosity and passion have left a lasting imprint on the school and the region.

SIU School of Medicine’s 2025 Distinguished Donors of the Year are a remarkable couple whose unwavering generosity and passion have left a lasting imprint on the school and the region.

SIU School of Medicine’s 2025 Distinguished Donors of the Year are a remarkable couple whose unwavering generosity and passion have left a lasting imprint on the school and the region.

In a laboratory at SIU School of Medicine in Carbondale, scientists are working quietly toward a future that could change the outlook for families affected by rare neurodevelopmental disorders.

In a laboratory at SIU School of Medicine in Carbondale, scientists are working quietly toward a future that could change the outlook for families affected by rare neurodevelopmental disorders.

In a laboratory at SIU School of Medicine in Carbondale, scientists are working quietly toward a future that could change the outlook for families affected by rare neurodevelopmental disorders.

In a laboratory at SIU School of Medicine in Carbondale, scientists are working quietly toward a future that could change the outlook for families affected by rare neurodevelopmental disorders.

In a laboratory at SIU School of Medicine in Carbondale, scientists are working quietly toward a future that could change the outlook for families affected by rare neurodevelopmental disorders.

In a laboratory at SIU School of Medicine in Carbondale, scientists are working quietly toward a future that could change the outlook for families affected by rare neurodevelopmental disorders.

Artificial intelligence (AI) and machine learning (ML) are rapidly evolving technologies that are being adopted across nearly every sector—from finance and manufacturing to retail and logistics. In healthcare, their use is expanding beyond traditional applications such as diagnostic image analysis to more complex tasks that support the entire care pathway, including disease classification, prognosis modeling, and automated decision-making.[1] The Southern Illinois University Division of Urology has partnered with the Saint Louis University Department of Computer Science to advance research on