Simulations Plus

As the adage goes, “time is money,” and the drug development pipeline is no exception. Separately, both “time” and “money” are crucial considerations at every stage of drug development

In the complex world of R&D, acronyms like PBPK and PBBM often seem interchangeable—but they're not.

The pharmaceutical industry is on the brink of a transformative shift, with artificial intelligence (AI) increasingly being leveraged across the drug product lifecycle.

This blog post continues our ongoing series on leveraging quantitative systems pharmacology (QSP) to enhance drug development.

When it comes to PK/PD modeling, many researchers stick with the tools they know, even when those tools may not be the most efficient or insightful.

In an industry that’s constantly evolving, staying ahead of the curve is crucial. Every breakthrough, every new piece of research can shape the future—and if you’re not in the loop, you risk falling behind.

Does this sound familiar? You are a pharmacometric modeler facing a tight deadline.

GLP-1 agonists have become a crucial component in the treatment of metabolic disorders like type 2 diabetes and obesity.

Modeling is increasingly important for the speed and success of our drug development programs, but the learning curve to be effective can be high.

Patient trust is critical for ensuring adequate enrollment and retention of clinical trial participants.

Patient safety is paramount in any clinical trial.

You’re the head of medicinal chemistry. Your focus is on developing molecules that balance (often conflicting) objectives to achieve the target compound profile, and it consumes every spare minute.

With a new interface, updated workflows, and advanced features, it may be challenging to know how to get started with GastroPlus(R) X.

New guidance was recently released by the International Council for Harmonisation (ICH) regarding bioequivalence for immediate release solid oral dosage forms.

In the biopharma industry, we often focus on scientific research and research methodologies. However, software design and usability is also vital in translating complex data and technologies into accessible and user-friendly solutions.

Want to see fewer protocol deviations and agile change management in your clinical trials while also reducing burdens on research site staff?

In part one of this complement blog series, the complement cascade and its role in various diseases was introduced, as well as the potential for mechanistic modeling to support development of complement‑targeted therapeutics. COMPLEMENTsym, a quantitative systems pharmacology (QSP) model of complement focused on the alternative and terminal pathways (AP, TP, respectively) was introduced.

As anyone who has worked in the pharmaceutical industry for awhile can tell you, there are many challenges, but one in particular keeps many of us up at night – the specter of drug-induced liver injury (DILI) lurking later in the drug development process.

One of the significant challenges faced by pharmaceutical companies is the sometimes unclear guidance on what data regulators want to see included in their submissions and the format in which it should be provided.

Physiologically-based pharmacokinetic (PBPK) modeling is now a standard tool used across the pharmaceutical industry to increase understanding of a drug’s behavior in the body and to help guide its development.