Proscia

Check out our streamlined fluorescence imaging workflows featuring advanced channel grouping capabilities. Just one of the many ways discovery teams can increase review efficiency while reducing research variability using Concentriq LS. For more product demos, functionality overviews, and industry insights, watch "What’s New, What’s Next at Proscia for Life Sciences" now available on demand: https://lnkd.in/eUZ8smms

According to Chief Strategy Officer Nathan Buchbinder, the future of medicine is going to come from combining our deep understanding of genomic insights with the messy reality of human phenotypes. The correlation between the clear and the messy, the genomic and the pathology, is creating new insights that give us a better understanding of disease mechanisms and novel treatment options. Hear his full take below, and check out other takeaways he shared during Inside Precision Medicine's State of Precision Medicine Summit in our recent blog: https://lnkd.in/ewsAQ64J

Scott Barclay shares why Insight Partners invested in Proscia—and how #digitalpathology is enabling precision medicine today.

AI is only as powerful as the data behind it. This new piece from MedCity News explores how the rise of AI is accelerating the need for real-world data across healthcare and life sciences. As Kristin Pothier and Ashraf (Ash) Shehata assert, access to high-quality, representative, and diverse RWD is no longer a nice to have—it's a necessity. A must-read from for anyone working at the intersection of technology, data, and healthcare. 💡

We're taking one last look back at #USCAP2025. Check out the takeaways that left our team feeling inspired and invigorated in our latest blog. https://lnkd.in/eSzghxJA Thanks to our customers, partners, and the #digitalpathology community for a great event. We'll see you in San Antonio next year. Visiopharm, OWKIN, Ibex Medical Analytics, Amazon Web Services (AWS), Pramana, Siemens Healthineers, Agilent Technologies

There's so much we love about this episode. It features our customer Torigen Pharmaceuticals' CEO Ashley Kalinauskas and highlights the impact of #digitalpathology in bringing personalized cancer vaccines to pets. 🎙️

Introducing Concentriq Annot-Emoji Mode! 🎉 By activating Annot-Emoji Mode, you can now annotate your whole slide images with 🥼, 🦠, and even 🔬! "What a fun and engaging new feature. The Proscia team continues to think ahead when it comes to what I really need to improve my workflow." - Pathologist and member of the Concentriq community Contact our team today to learn more. *Annot-Emoji is not for research use or for use in diagnostic procedures as it is completely made up. (But Concentriq’s many other features? Still very real.) Happy April Fools!

Concentriq AP* is now more intelligent than ever with AI-driven capabilities enhancing precision and efficiency in anatomic pathology workflows. Join Concentriq AP product experts on April 23rd as they demonstrate how our latest releases address real challenges faced by pathologists, explore highlights from the precision medicine AI portfolio, and offer a glimpse of what's on our roadmap—all designed to help hospitals, health systems, and commercial laboratories deliver faster, more confident assessments. Register for our webinar today: https://lnkd.in/ehRNbQ_E *Concentriq AP is For Research Use Only. Not for use in diagnostic procedures.

We just announced $50M in funding, and now we're growing our team. If you're as passionate as we are about transforming how the world diagnoses and treats disease, learn more about our open roles. https://lnkd.in/eEZhpUrE Because patients are waiting, and the time to deliver is now. 

The future of pathology isn’t just about more data—it’s about the diversity of the data. Concentriq Embeddings puts foundation models like Meta’s DINOv2 at the fingertips of data scientists and AI developers, empowering teams to develop AI solutions that deliver richer insights using fewer, more diverse whole slide images. Check out this story on how DINOv2 enabled Mahmood Lab to build breakthrough machine learning models that leverage #pathology data to improve diagnosis, prognosis, and treatment response prediction: https://lnkd.in/eDHib2eS AI at Meta