Can predictive modeling replace years of drug stability testing? This case study explores how researchers of Janssen Pharmaceuticals, TU Dortmund […]
We redefined ASD Shelf Life Predictions – Key Insights from a 2-Year Case Study Read More »
Case studies
Creating effective and stable drug formulations shouldn’t be guesswork. It’s deeply rooted in science. Yet, many formulators still rely on
Why Five Solubility Points Are All You Need to Design a Drug Formulation Read More »
Case studies
Spray drying is a leading technique for manufacturing amorphous solid dispersions (ASDs). At its core lies atomization: you dissolve an
Our Thermodynamic Spray Dryer Modeling – Your Digital Microscope In Spray Drying Read More »
Case studies, Science
As pharmaceutical research pushes towards previously “undruggable” targets, the challenge often boils down to one key issue: complex drugs with
Dear Partners and Clients, As we wrap up 2024, we want to take a moment to reflect on what an
A Year of Scientific Milestones at amofor – Looking Ahead to 2025! Read More »
Insights
Release profiles are at the heart of successful formulations. However, drug formulation scientists struggle with them. Weeks of trial-and-error experiments.
From Guesswork to Clarity: amofor now offers mechanistic predictions of ASD drug release Read More »
Case studies, Products, Science
Physics-based simulations enhance the precision of pharmaceutical drug formulation. This blog presents a proof-of-principle study conducted in collaboration between amofor
The Importance of Physics-Based Modeling for Quality-by-Design Drug Formulation Read More »
Perspectives
This October amofor is making our debut at the AIChE Annual Meeting in San Diego. From October 27 to 31, 2024, we will
amofor Presents Predict-First Drug Formulation Strategy at AIChE 2024 Read More »
Conferences
In the last five years, amofor has rapidly transformed from a German academic start-up to a highly innovative force revolutionizing
Celebrating 5 Years of Innovation at amofor Read More »
Insights
Artificial intelligence (AI) and machine learning approaches have flooded many industries with the promise of groundbreaking advances. But can these
Myths about ArtificiaI Intelligence and Machine Learning in Drug Formulation Read More »
Perspectives