Using patent intelligence data from the FounderNest platform, Gonzalez highlights where small-molecule synthesis, formulation ...

Formulation scientists are behind the conversion of active pharmaceutical ingredients (API) into stable, bioavailable, and commercially viable dosage forms, rarely a simple process. Image Credit: ...

To optimize the final formulation for a drug, it must meet many criteria beyond producing a safe and effective product. For example, it must be stable and amenable to various manufacturing steps, such ...

AI/ML technologies are revolutionizing pharmaceutical formulation by optimizing excipient selection and predicting stability, reducing time and resources needed for development. Poor solubility of ...

In the last 10 years, there has been significant development in computer simulation of pharmaceutical materials, processes and product performance. Gradually, more mechanistically based models are ...

Early on, the drug substance (DS) manufacturer will provide a wealth of preliminary characterization data. And if the drug is active in early nonclinical and preclinical testing, a larger quantity of ...

Scientists at the University of Toronto have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine learning ...

The funding round was led by Spero Ventures with participation from MBX Capital, Shimadzu Future Innovation Fund managed by Global Brain Corporation, Eli Lilly & Company, SignalFire, Ford Street ...

The media have been replete with reports of ways in which the pharmaceutical industry has been able to increase revenue from medications that have been available for decades. 1 We report a new ...