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We're really looking forward to trading #digitalpathology best practices and showing you the power of Concentriq at booth 200. What are you most excited for at PathVisions?
As we gear up for #PathVisions24, we're eager to know what excites you most! From AI advancements to building stronger professional networks, this year's conference is packed with opportunities for growth and innovation.
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Our Chief Strategy Officer Nathan Buchbinder and our VP of Data Strategy & Partnerships Ross Cantor will be attending the Advancing Precision Medicine conference in Philadelphia. Reach out to schedule a meeting to discover how leveraging pathology real-world data and AI can drive breakthroughs in drug discovery and clinical trials. bit.ly/3QIRupq
With our AI-enabled Automated Quality Control embedded seamlessly into Concentriq for Research, you can identify poor quality images that need to be sent for rework earlier in your workflows. The video below shows how you can review slides in a table and sort by the percentage of tissue affected by artifacts. Learn how our Automated QC can improve your workflow efficiency and quality of data here: bit.ly/4d4kzEw
Last chance to sign up for our webinar this Wednesday! You’ll gain expert insights from Derek Welch, MD, FCAP from PathGroup and Ben Freiberg, Ph.D. from Genentech on how pathology real-world data (RWD) is driving the next breakthroughs in precision medicine. Register today: bit.ly/4ewcYPJ
Our AI R&D team leveraged foundation models at scale with Concentriq Embeddings to build 80 breast cancer biomarker prediction models in under 24 hours. If you'll be at Oxford Global's #BiomarkersUS24 in San Diego, make sure to catch up with Nikki J. to learn more about this and how else we're helping life sciences teams to advance precision medicine with #digitalpathology and AI. Book a meeting with her here: bit.ly/3QIRupq
We’re excited to attend #PathVisions2024, hosted by the Digital Pathology Association. Visit us at booth 200 to trade #digitalpathology best practices and to learn how Concentriq is enabling organizations to deliver on the promise of AI. 📅 Book a meeting to discuss your digital pathology goals with our experts and meet our team: Nathan Buchbinder, Arun Ananthapadmanabhan, Stephan Fromme, Jessica Calafati, Will Crane, Vivian Powers, Sarah Eysoldt, Sowmya Ballakur Ph.D, MBA, Amanda C., and Eric Martin. bit.ly/3A9ytr3
Bioptimus' H-optimus-0 foundation model is now available with Concentriq Embeddings! Learn more about our collaboration to help life sciences and pathology teams accelerate AI development in the full announcement (https://lnkd.in/eU2U7eDv) and register for our webinar on November 6 (https://bit.ly/4h8HelM). 🚀
🎉 We're excited to announce our collaboration with Proscia to advance AI in scientific research and drug development for improved patient care. By integrating H-optimus-0 into Proscia’s Concentriq Embeddings, Proscia’s users can now access a powerful tool that accelerates AI model development, driving breakthroughs in precision medicine and therapeutic R&D. H-optimus-0 is the largest open-source AI foundation model tailored for pathology, delivering state-of-the-art performance in critical tasks from detecting cancerous cells to identifying genetic abnormalities in tumors, advancing AI-driven research, drug development and diagnostics. Read more: https://lnkd.in/eU2U7eDv
📣 We were named to KLAS Research's 2024 Emerging Solutions Top 20 list of technologies best positioned to impact the Quadruple Aim of Healthcare. Our Concentriq enterprise pathology platform was recognized for improving patient outcomes last night at #HLTH24. Read our full announcement here: https://bit.ly/4dUKZIU Thank you to KLAS for the recognition, and a big congratulations to our fellow winners. #KLASTop20 #EmergingSolutionsTop20 #HealthcareIT #digitalpathology
Here are 5 reasons why CROs choose Concentriq for Research to help them deliver innovative solutions for their sponsors with #digitalpathology. Want to learn more? Read our blog from James St John: bit.ly/3wHhTwG
From navigating complex infrastructure to extensive data processing, building computational pathology AI models presents challenges that can cost hundreds of thousands, if not millions, of dollars to overcome. Concentriq Embeddings addresses them and their associated costs by simplifying and expediting AI model development, allowing data scientists to focus on the more scientific and innovative aspects of their programs. Our AI Research & Development team unpacks the key challenges of pathology AI development within therapeutic R&D, and how Concentriq Embeddings alleviates these issues to unlock real savings in our recent blog: bit.ly/4eJVNKR