SPECIAL FEATURE - Artificial Intelligence in Drug Discovery, Development & Delivery

Contributor Cindy H. Dubin speaks with leading drug makers, device manufacturers, and contract organizations who dispel the myths around AI and Machine Learning in the pharma industry and share how they are using AI to streamline clinical trials, automate lab tests, optimize resource allocation, enhance development timelines, and improve patient-friendly dosage forms.

CONTROLLED RELEASE - Challenges in Consistent & Predictable Delivery of Drugs Using Oral Controlled Release Technologies

True Rogers, RPh, PhD, Matthias Knarr, PhD, and Mark Dreibelbis, PhD, say excipient selection is a key consideration within the QbD framework, particularly for CR technologies. Excipients must be chosen carefully to ensure they deliver the needed processability, quality, stability, and performance during and following the manufacture of dosage forms.

EXPERT CONTENT & RESOURCES

Whether you're a researcher, a pharmaceutical professional, or simply interested in the latest advancements in drug development and delivery technology, you'll find a wealth of insightful expertise and current resources here.

2/9/2026

How Can a Stage-Based Program to Determine HME Applicability Benefit Your API?

Low bioavailability due to poor API solubility is one of the major challenges to be overcome when developing oral dosage form drug products. An effective way of addressing this problem is to transform low solubility APIs into amorphous solid dispersions (ASDs) and can often be achieved via hot melt extrusion (HME).

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