A global leading company focused on improving how scientists utilize knowledge & data to predict the properties/outcomes of pharmaceutical & biotech agents.
Thank you to everyone who braved the weather to join us for our second annual Quiz Night at PAGE. We hope you enjoyed the friendly competition as much as we did!
Obesity drug development is evolving fast—from oral GLP-1s to multi-mechanism therapies. Join Dr. Scott Q. Siler for a first look at the updated OBESITYsym model, now expanded to simulate new oral and multi-agonist treatments.
Register now.
https://t.co/WzALMqFxGw
Thank you to everyone who attended our PAGE pre-conference labs on modeling and AI! If you missed a session or have questions, stop by Booth #20 to chat with our instructors.
Don't miss the 2nd Annual Quiz Night tomorrow at Nocturno Bar. #PAGE2026
What does it take to understand & predict the behavior of LAIs? Join Deanna Mudie & Jim Mullin at DISSO on June 16 at 12 PM for Deciphering the Depot: Mechanistic PBPK Modeling and Population Balance Strategies for Long-Acting Injectables.
https://t.co/LOiiAhRuaU
If you’re attending PAGE 2026, be sure to join us for Quiz Night at the Valamar Lacroma Hotel, Nocturno Bar on Wednesday, June 3, from 6:00–8:00 PM for an evening of trivia, drinks, appetizers, & conversation with fellow PAGE attendees.
Register here: https://t.co/bE0p0AtXzp
Obesity drug development is evolving fast—from oral GLP-1s to multi-mechanism therapies. Join Dr. Scott Q. Siler for a first look at the updated OBESITYsym model, now expanded to simulate new oral and multi-agonist treatments. Register now. https://t.co/WzALMqFxGw
Regulatory decisions depend on model credibility, not just model output. Without transparency, it becomes harder to evaluate assumptions, verify results, or build confidence in model-informed strategies. Sandra Suarez-Sharp explores more: https://t.co/AAFFBQFela
Regulatory decisions depend on model credibility, not just model output. Without transparency, it becomes harder to evaluate assumptions, verify results, or build confidence in model-informed strategies. Sandra Suarez-Sharp explores more: https://t.co/AAFFBQFela
There’s still time to register for tomorrow’s webinar!
Moderated by Yu-Nien (Tom) Sun, PhD, the webinar will cover a range of topics, including the next big hurdle in dose selection: combination regimens.
Register today: https://t.co/XqtEx55Xao
If you’re attending PAGE 2026, be sure to join us for Quiz Night at the Valamar Lacroma Hotel, Nocturno Bar on Wednesday, June 3, from 6:00–8:00 PM for an evening of trivia, drinks, appetizers, & conversation with fellow PAGE attendees.
Register here
https://t.co/bE0p0AtXzp
#concQT analysis is tedious, time-consuming… and required. But now, you can automate it.
With our conc-QTc R package, you can automate these 3 key steps: data pre-processing, conc-QTc modeling using the white model, & report generation.
Learn more: https://t.co/SD7CZsviKJ
With QSP Flex, you can use validated QSP models in the modeling environment your team already knows, whether that’s MATLAB, Julia, Simbiology, Monolix or Thales.
Learn more about what models are now available with QSP Flex: https://t.co/VgemaAYSdA
This poster explores an integrated QSAR-ML + QST workflow designed to support earlier hepatotoxicity screening by generating mechanistic inputs for DILIsym.
Download the poster: https://t.co/Bav9WWFBDY
If you’ve led clinical pharmacology strategy and enjoy working directly with clients, you may be a strong fit for this role.
We’re hiring an Assistant Vice President, Quantitative Clinical Pharmacology.
Learn more and apply: https://t.co/dauqBX7k87
What’s next for oncology dose optimization under #ProjectOptimus? Join FDA experts Dr. Hao Zhu & Dr. Brian Booth to explore dose selection for combination regimens, novel modalities, and modeling strategies — plus live Q&A.
Register:
https://t.co/XqtEx55Xao
At #PAGE2026, we’re hosting two MonolixSuite workshops focused on complex PK/PD modeling, reproducible workflows, & practical AI in regulated settings. Designed for pharmacometricians looking to strengthen how modeling work is built, reviewed, and trusted https://t.co/UojLHRr6rA
In vitro dissolution data doesn’t always predict in vivo performance. Xavier Pepin explores how dissolution modeling in PBBM can bridge the gap. https://t.co/IwDDDACCix
In this poster, researchers demonstrate how mechanistic data from microphysiological systems can be incorporated into QST models to assess liver risk across biologics in both healthy and MASLD contexts.
Download the poster to explore the approach: https://t.co/IjWIKALLQ5
In this blog post from Scott Siler, James Beaudoin and Christina Battista you’ll learn why traditional QST modeling is still the preferred approach to DILI prediction—as well as how you can leverage the best of AI and mechanistic modeling, together.
https://t.co/l17bjB2Cbf
"Our collaboration with NVIDIA brings together validated science, accelerated computing, and AI capabilities in a way that expands what scientific teams are able to explore and accomplish,” said Shawn O’Connor
Read more: https://t.co/lGlfuUjBwn