This October amofor is making our debut at the AIChE Annual Meeting in San Diego. From October 27 to 31, 2024, we will join thousands of professionals at the world’s largest chemical engineering conference to shape the future of drug formulation. We look forward to connecting with drug formulators and industry professionals!
Why Attend AIChE and Connect with amofor?
The AIChE Annual Meeting provides a platform for exploring an extensive range of topics – from fundamental chemistry to cutting-edge pharmaceutical applications. In recent years, the conference has highlighted the industry’s shift toward incorporating engineering principles into drug development, especially in pharmaceutical formulation.
At the forefront of this transformation, amofor is guiding the shift toward smarter drug formulation through advanced predictive modeling techniques, such as digital twins. Although the pharmaceutical sector has been slower in adopting these innovations than other industries, the growing recognition of the benefits offered by computational approaches is accelerating change.
Connect with amofor at AIChE to:
- Engage One-on-One: Sit down with our co-founders, Dr. Christian Lübbert and Prof. Gabriele Sadowski, and explore how our innovative solutions can address your specific project challenges.
- Gain Exclusive Insights: Understand how we can help you determine why a formulation works – or doesn’t – empowering you to make informed decisions.
- Don’t miss our talks: We will present our latest advancements in thermodynamic modeling (see below).
amofor’s Contributions at AIChE
We will showcase our latest advancements in thermodynamic modeling through two presentations and a poster session, each highlighting critical aspects of our work and services:
Presentation 1: Successful Shelf-Life Predictions of Amorphous Solid Dispersions
(Thursday, 10:06 AM, Session: Advancements in Drug Product Particle Engineering and Material Science)
Insights:
- Novel fast-track prediction method: Combines thermodynamic, kinetic, and drug-specific crystallization factors to predict ASD shelf life across various conditions accurately.
- Early risk reduction: Predicts crystallization onset time of metastable ASDs before storage tests, minimizing the risk of late-stage stability failures.
- Validated approach: Proven through three-year stability studies with felodipine-containing ASDs (of course, the model has been tested for many more substances), enabling groundbreaking early-risk assessment for formulation development.
Presentation 2: Fast Screening and Production of Pure Co-Crystals Via Thermodynamic Modeling
(Thursday 2:03 PM, Session: Solid Form Characterization and Development: Cocrystals, Salts, Solvates, Polymorphs, and Beyond)
Insights:
- Cocrystal formation region: Identifying the process conditions where the desired cocrystal forms and where it can never be obtained at all.
- Solvent screening: Finding a suitable solvent mixture and API/conformer ratio that lies within the desired Cocrystal formation region.
- Validated approach: Experimental studies confirmed the formation of the desired cocrystals
- Reducing screening efforts: Replacing trial-and-error screenings with hundreds of experiments by the right process that increases cocrystal yields at the same time
Poster: Spray Dryer Design for Robust Manufacturing of Amorphous Solid Dispersions
(Monday, 3:30 PM – 5:00 PM, Poster Session: Pharmaceutical Discovery, Development, and Manufacturing)
Insights:
- In-Silico Optimization:Uses predictive modeling to address spray drying challenges like solvent selection, evaporation rates, and phase separation.
- PC-SAFT Model Application:Assists in predicting scale-up behavior, optimizing process settings, and assessing risks such as solvent buildup.
- Streamlined Development:Reduces experimental trials, making formulation more efficient and cost-effective.
Schedule a Meeting
Given the size of the conference, we encourage you to contact us in advance to arrange a dedicated time to meet. Take advantage of this opportunity to engage in stimulating, insightful discussions, explore collaborative opportunities, and experience firsthand how amofor is driving the integration of thermodynamic modeling into pharmaceutical drug formulation.
Together, let’s lead the shift toward smarter drug formulation processes.