Myths about ArtificiaI Intelligence and Machine Learning in Drug Formulation

Artificial intelligence (AI) and machine learning approaches have flooded many industries with the promise of groundbreaking advances. But can these technologies also meet the complex demands of drug formulation? In this blog post, we debunk common myths surrounding AI in drug formulation and show why physical simulations are still a suitable and state-of-the-art technique to formulate drugs. Decoding Machine Learning in Drug Formulation

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Shelf life Prediction on Amorphous Solid Dispersions

Amorphous solid dispersions (ASDs) are crucial in enhancing the solubility and stability of water-insoluble drugs, maximizing therapeutic efficacy. This blog presents a shelf life study of ASD formulations under long-term storage conditions. The study demonstrates the power of integrating physics-based simulations with experimental data. It is one of the few publications combining theoretical work with

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2024 Science of Stability Conference (SOS): A Platform for Focused Discussions

amofor is pleased to participate at the 8th annual SOS conference in Barcelona, taking place on May 13-14, 2024. It’s a highly interactive international conference, organized by FreeThink Technologies, Inc and Lhasa Limited. The event focuses on the latest discoveries and innovations in stability science. It dives deep into both chemical and physical stability issues

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Preclinical Drug Formulation in Just 1 Day

In the preclinical phase, formulation development is usually very standardized, limited in time and follows heuristic guidelines. The digital design approach to drug formulation developed by amofor offers a unique alternative for customers looking for more efficient approaches. This innovative method enables the development of highly potent preclinical formulations in just one day, allowing a

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SOLCALC Software – Frequently Asked Questions

Overview & Capabilities What is the SOLCALC software? SOLCALC software is an Excel-based add-in specifically engineered for drug formulation applications. It facilitates a broad variety of PC-SAFT calculations, including classical phase equilibria and metastable states, and assesses the impact of humidity on formulation stability. Additionally, it enables the evaluation of glass transition temperature (Tg), wet

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The Impact of Predictive Modeling on Bioavailability: A Standardized Approach

Predicting bioavailability is pivotal in drug development, directly influencing a drug’s effectiveness within the body. A key factor in this process is solubility, which enables the drug to be absorbed and distributed. However, a major challenge we face is the increasing complexity of drugs. A Historical Perspective Historically, achieving sufficient bioavailability was straightforward for molecules,

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The amofor Path to Lead with In Silico Drug Formulation

In the field of drug formulation, the path from concept to a market-ready product is full of challenges. Success in this field requires not only overcoming these obstacles, but also finding the right partners whose scientific expertise and technical capabilities can turn concepts into reality. Among this complex landscape, one innovative solution is still underutilized:

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The Power of In Silico Polymer Screening for Drug Formulation

Picture polymers in drug formulation as the coating of a chocolate praline. They create a matrix for the active pharmaceutical ingredient (API), similar to how a praline’s outer shell encases its delicious center. This polymer « coating » does more than just bind the ingredients; it precisely regulates the release of the API, much like the controlled

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