For the pharmaceutical industry, drug formulation is a cornerstone, crucial for converting bioactive molecules into effective, stable, and patient-friendly medications. For the pharmaceutical industry ...

LONDON--(BUSINESS WIRE)--The Pharmaceutical Formulation Equipment market will register an incremental spend of about USD 7.35 billion, growing at a CAGR of 8.42% during the five-year forecast period.

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: ...

The pharmaceutical development of a cardiovascular polypill presents several unique challenges. The selection of the type and number of active drugs to be incorporated requires important consideration ...

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 ...

Equipped with a cGMP-compliant laboratory and state-of-the-art analytical instruments, CD Formulation’s seasoned research team is well-prepared to handle the most complicated drug analytical issues as ...

In a recent statement, CD Formulation’s management announces that the company is now capable of providing customized preparation and production services for various pharmaceutical excipients with ...

first biocompatible pharmaceutical formulations progress to preclinical models new sustained-release drug delivery platforms for peptides, melanocortins aim to predict drug release kinetics from new ...

In this interview, NewsMedical speaks with Joanna Lipner, Co-Founder of PIKRALIDA, and Hanna Kierońska, Head of Drug Technology, about the company’s approach to reducing polypharmacy, drug formulation ...

We teach you the important formulation requirements for each of these product types and how those requirements influence the performance of the medicine in the body. We also teach you the key ...

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 ...