Proscia

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

Attending #HLTH2024? Our Chief Strategy Officer Nathan Buchbinder would love to catch up with you!

Don't miss your chance to join us for an exciting discussion featuring speakers from IQVIA Laboratories, who will share takeaways on how their organization is streamlining clinical development and maximizing trial success through an enterprise pathology platform. Sign up for tomorrow's webinar to discover how #digitalpathology can: ➡️ Shave weeks or months off clinical trials ➡️ Drive standardization and reproducibility in clinical development ➡️ Extract deeper insight across the R&D lifecycle with an enterprise pathology approach Register here: bit.ly/4dboz5R

“Concentriq Embeddings not only accelerates AI development but will spark a new wave of innovation in pathology. It empowers teams to achieve breakthroughs faster and at a scale we’ve never imagined before, setting the stage for transformative advancements in both research and patient care.” - Our VP of AI Research & Development, Julianna Ianni Read more on how our recent launch will advance AI development in Drug Target Review. https://lnkd.in/eUT5zskh

AI in pathology shouldn’t just solve a single problem. It should also empower pathologists by delivering results from multiple AI applications when and where they are needed, all on a single, intuitive platform. Our Chief Strategy Officer Nathan Buchbinder unpacks this pathologist-centric approach to AI in this piece from Today's Clinical Lab: bit.ly/47IZga3

AI model development in life sciences spans numerous applications across the R&D value chain, and foundation model performance can vary across each. One of the key advantages of Concentriq Embeddings is the flexibility to leverage a variety of foundation models to find the best fit for specific use cases. Check out a few of the diverse applications that Concentriq Embeddings enables below, and see our site page to learn more: bit.ly/3zRrt1S

Our team is getting ready to head to Las Vegas for this year’s College of American Pathologists (CAP) meeting, and we'd love to meet you while we’re there. Stop by booth 405 to get a hands-on demo of the Concentriq enterprise pathology platform that immerses pathologists in an intuitive experience for viewing, interpreting, managing, and sharing whole slide images. Book a meeting here: bit.ly/3BIDsPI

Harnessing the power of foundation models is key to driving AI breakthroughs in pathology and precision medicine. However, operational challenges—like manual data transfers, external processing, and image format standardization—have often slowed progress. Until now. Concentriq Embeddings changes the game by providing a seamless way for data scientists to generate embeddings from whole slide images (WSIs) using state-of-the-art, widely trusted pathology and vision foundation models—all within the Concentriq platform, right where their data lives. This fully integrated solution dramatically accelerates the AI development process. How do we know? The performance and scalability of Concentriq Embeddings were proven in pilot programs with a top CRO, a leading pharmaceutical company, and Proscia's own AI R&D team, as shown in a recent case study. 📊 Highlights from the study: ▫️ Concentriq Embeddings enabled 𝟭𝟯𝘅 𝗳𝗮𝘀𝘁𝗲𝗿 𝗺𝗼𝗱𝗲𝗹 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 compared to traditional methods for leveraging foundation models. ▫️ Effortless scaling in the cloud allowed 𝟴𝟬 𝗺𝗼𝗱𝗲𝗹𝘀 𝘁𝗼 𝗯𝗲 𝘁𝗿𝗮𝗶𝗻𝗲𝗱 𝗶𝗻 𝘂𝗻𝗱𝗲𝗿 𝟮𝟰 𝗵𝗼𝘂𝗿𝘀 using a consumer-grade laptop. ▫️ Projected 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗴𝗮𝗶𝗻𝘀 𝗼𝗳 𝘂𝗽 𝘁𝗼 𝟭𝟬𝟬𝘅 with larger datasets typical in therapeutic R&D activities. Learn more about how Concentriq Embeddings is transforming AI development: bit.ly/4gXSlxN

We're excited to be featured in Fierce Biotech for the launch of Concentriq Embeddings and the Proscia AI Toolkit! See the article here: bit.ly/3XTC8RD Thank you to Conor Hale for a great piece.