Feline gastrointestinal eosinophilic sclerosing fibroplasia (FGESF) is a rare and poorly understood disease characterised by the infiltration of eosinophils and the development of fibrous tissue...
Antimicrobial resistance (AMR) is one of the main health concerns worldwide and addressing the problem through the One Health approach is essential to manage the burden of AMR emergence and...
The AQUAVET® I program provides valuable hands-on experience in aquatic veterinary medicine to fill a critical gap in traditional veterinary curricula.
Phibro Animal Health Corporation (Nasdaq: PAHC) today announced expected implementation of a new regulatory framework governing the use of certain antimicrobials in Brazil that have growth promotion...
Carcinoma in situ of the breast is a well-known entity in humans. In veterinary medicine, particularly in canine and feline mammary literature, there is no agreement whether the term in situ should...
Lameness due to musculoskeletal disease is the most common diagnosis in equine veterinary practice. Many of these orthopaedic disorders are chronic problems, for which no clinically satisfactory...
Some dogs can get so focused on a task that they ignore the world around them. This is especially true for canine athletes like hunting and working dogs.
Canine and feline obesity rates have reached pandemic proportions and are similar to those in humans, with approximately 30%–40% of dogs and cats being overweight to obese.
A validated teaching model for canine fundoscopic examination was developed to improve Day One fundoscopy skills while at the same time reducing use of teaching dogs.
Our students, faculty and staff at the NC State College of Veterinary Medicine provide world-class care and make groundbreaking discoveries every day that advance animal and human health. Here's a...
Outcome Capital, LLC, a highly specialized life sciences and healthcare advisory and investment banking firm, today announced that Jaison Ellis has joined the firm as a Managing Director, based in...
Clinical predictive models use a patient's baseline demographic and clinical data to make predictions about patient outcomes and have the potential to aid clinical decision making.
