Squad has seen more than 150 members and responded to over 300 emergencies during its first decade of operation.

When K-9s face danger, seconds count. Discover how groundbreaking training in San Diego is equipping officers to save their four-legged partners' lives.

HOU win or tie OR IND loss or tie OR HOU clinches at least a tie in strength of victory tiebreaker over IND *Note: HOU needs the following to happen to clinch a tie in strength of victory with IND: ...

NFL.com's Nick Shook breaks down three must-know storylines for when the Houston Texans play the Pittsburgh Steelers on Wild Card Weekend. The Commanders are promoting assistant quarterbacks coach ...

The Lions will need their biggest playmakers — Jahmyr Gibbs, Amon-Ra St. Brown and Jameson Williams — playing their best to reach the playoffs. Kirby Lee / Imagn Images The margin for error, as slim ...

Ohio State Wexner Medical Center's new University Hospital is conducting large-scale simulations to prepare for its February opening. More than 1,000 volunteers and staff participated in mock medical ...

Chris Harrison, an administrator for Ohio State University's endocrinology, diabetes, and metabolism team, plays a dialysis patient in a "dress rehearsal" of a medical scenario at OSU Wexner Medical ...

Artificial intelligence has rapidly transformed the medical field, with foundation models driving breakthroughs in natural language processing, computer vision, and multimodal learning. Medical ...

For firefighters and paramedics, a matter of seconds can mean the difference between life and death. That means for every student enrolled in HSC 306X — EMT for Fire Services — each hypothetical ...

Community colleges, which traditionally furnish graduates with two-year associate degrees and serve as academic springboards to four-year universities, also offer opportunities for students interested ...

Background Artificial intelligence large language models (LLMs) are increasingly used to inform clinical decisions but sometimes exhibit human-like cognitive biases when facing nuanced medical choices ...