Vetsie Integrates Merck Veterinary Manual for Enhanced Clinical Support
Vetsie has announced a strategic partnership with the Merck Veterinary Manual to enhance clinical decision-making for veterinary teams. This collaboration integrates Merck's evidence-based medical content directly into Vetsie's smart clinical resource library, providing veterinary professionals with faster and more reliable access to critical information at the point of care, .
The integration of Merck's trusted content into Vetsie's AI-driven platform aims to empower veterinary clinics to deliver more accurate and efficient care. By combining Vetsie's innovative technology with Merck's expertise, the partnership sets a new standard for quality and accessibility in veterinary resources.
Laurie Hess, DVM, Dipl ABVP at the Merck Veterinary Manual, emphasized the importance of this collaboration, stating that it brings trusted knowledge into a modern, AI-driven platform, making it easier for veterinary teams to access the information they need to provide top care.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Life Sciences
Oct 22 BioStack Raises $9.5 Million for Medical AI Data Network Oct 22 Warp Sciences Raises $215 Million to Automate Drug Discovery Labs Oct 22 FDA Clears RIVANNA BoneEnhance Software for Accuro XV Oct 22 Tufts Medicine Uses Humata Health to Automate Prior Authorization Oct 22 HHS Plans Sole Source Claude Contract With AnthropicLife AI Weekly
Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Veterinary AI Use Reaches 83.7 Percent in Digitail and AAHA Study
Servier Adopts Veeva OpenData Across More Than 80 Countries
VetsinTech to Launch AI Engineering Training With Cognizant Grant
Veeva to Showcase Falcon and Vault AI at Boston Summit
Covetrus Deploys RELEX Forecasting Across 28 Distribution Centers
Daily AI Brief: the AI news that matters, in your inbox.