Proscia

We Raised The Bar this year, and Proscians (current and future) gathered to celebrate an amazing 2024. ✨

David West, Arun Ananthapadmanabhan, and Jim Green will be at #JPM2025 to share how we can help you accelerate the next precision therapies and diagnostics with pathology data. 📅 Book a meeting here: bit.ly/3ONgydl

Pathology AI development without the data bottleneck? It's here. Building AI models for tissue classification in histopathology has traditionally meant assembling large, hand-annotated datasets—a time-consuming and resource-heavy process. But what if you didn't need those massive datasets? With Concentriq Embeddings and PLIP, a multimodal vision-language foundation model, you can build a zero-shot tissue classification model in minutes—no annotated training data required. How does it work? In our latest tutorial, Corey Chivers, Senior AI Scientist, demonstrates how to use Concentriq Embeddings to generate slide-level predictions and heatmaps that visually highlight tumor regions—all without the data bottleneck. It's like going from zero to hero—but in this case, zero is the hero. Check it out here: 🔗 Explore the Jupyter Notebook: bit.ly/4glxKTD 🎥 Watch the Full Video Tutorial: bit.ly/4gFWm9i

To our customers, partners, and friends - we wish you a peaceful holiday season and a New Year full of possibility.

"Computational pathology has proven to be one of the most promising avenues to unlock value, with the ability to analyze hundreds of thousands of cells per slide with unprecedented detail and speed." VP of AI R&D Julianna Ianni shared this take during our recent webinar with Bioptimus. Together, we spoke to the promise of foundation models on AI-driven drug discovery and development.

As we look toward 2025, we’re curious about your top AI priority. Let us know below.

We're excited to see that Spatial Proteomics has been named Nature Methods' "Method of the Year 2024!" 🎉 This recognition underscores the impact of novel approaches to imaging and spatial analysis in unraveling biological complexity in health and disease. With the atlas of data they are generating, the future looks bright for the next wave of precision therapies and diagnostics. Read the full article in Nature Methods: https://lnkd.in/e8g_FXDS

Here at #DigiPathLondon, we're having some really great conversations about: 💡Unlocking insights with multiple AI applications 📈The importance of scalability and interoperability as #digitalpathology adoption accelerates 💊Pathology's expanding role in #precisionmedicine 🤝The rise of AI-enabled companion diagnostics Have a topic you want to discuss? Stop by booth 41 to chat with our team.

Thanks for a great turnout at Dr. MONIKA LAMBA SAINI’s #DigiPathLondon presentation! In case you missed it - here are 5 key takeaways she shared: 🔹Despite advancements in some therapeutic areas, clinical trial productivity remains low—especially in oncology and rare diseases—due to increasing complexity and extended trial durations. 🔹Digitizing pathology operations and applying AI can address productivity challenges by shortening trial timelines, improving trial design, enhancing efficiency, and increasing reproducibility. 🔹Digital pathology enhances accuracy and reduces costs with cloud-based centralized pathology reviews and enabling access to second opinions from specialists and KOLs. 🔹Drugs with predictive biomarkers or CDx can shorten development timelines by up to a year. Digital pathology and AI enhance these strategies by using image-based biomarkers to streamline case reviews and accelerate patient enrollment. 🔹Digital pathology fosters stronger CRO-sponsor collaboration by improving data integrity, streamlining workflows, and providing AI capabilities, helping them work together to accelerate drug development and bring new therapies to patients faster.

🇬🇧 Cheers from #DigiPathLondon! We can't believe how many of you have already seen why 14 of the top 20 pharmas and major diagnostic laboratories rely on our Concentriq platform here at exhibit 41. As you firm up the rest of your day, be sure to join us at 3:40PM when Dr. MONIKA LAMBA SAINI takes the stage. She'll draw on her CRO and pharma experience to share firsthand insight into how #digitalpathology and AI are improving collaboration and clinical trial integrity in the era of precision medicine.