From AI-powered wearables to smarter doors and feeding systems, these were the pet tech companies that made the biggest ...

Rachel works as a CRNA where she provides anesthesia care across the lifespan, including pediatric anesthesia, with a primary focus on orthopedic anesthesia. She is also an Assistant Professor at the ...

Objectives: We aimed to develop and evaluate a novel computer-aided detection (CADe) approach for identifying small metastatic biochemically recurrent (BCR) prostate cancer (PCa) lesions on PSMA-PET ...

PDSA, the vet charity for pets in need, has estimated that there are 11.1 million dogs in the UK and 10.5 million cats. More than half (51%) of the 5,387 pet owners surveyed for the PDSA Animal ...

Until this year, most Rhode Island pet owners have either buried or cremated their pets after death. But a new facility in R.I. is trying to offer a greener alternative. Nature’s Pawprint, the Ocean ...

Artur is a copywriter and SEO specialist, as well as a small business owner. In his free time, he loves to play computer games and is glad that he was able to connect his professional career with his ...

TOKYO—Casio 69521.32%increase; green up pointing triangle Computer is famous for its watches. Now, it’s branching out with an artificial-intelligence-powered pet as rising loneliness makes more people ...

Mars, which owns popular dog and cat food brands like Pedigree, Iams, Sheba and Whiskas, is using digital technologies to help pet owners understand their pets’ health. Kate Balingit currently runs ...

Wisconsin dairy farmer Ron Brooks has developed an automated dog grooming machine inspired by similar devices for cows. The machine, called "4 Fur," features a rotating brush, vacuum, treat dispenser, ...

Arcade Clicker is the latest Pets Go game mode, which simulates a clicker-style experience. The limited-time event is all about using clicks to farm Arcade Coins, the event currency, and using them to ...

Abstract: Image reconstruction from low-count positron emission tomography (PET) projection data is challenging because the inverse problem is ill-posed. Prior information can be used to improve image ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...