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A Practical Guide to Quantitative Pharmacology in Drug Development

When to Use PopPK/PD, Exposure Response, PBPK, and QSP, and When Not To 1. Introduction: Why Quantitative Pharmacology Matters Model informed development has shifted from optional exploratory analysis to a central part of decision making. Most high value decisions such as target viability, mechanism plausibility, first in human (FIH) dose selection, Phase 2 dose justification, […]

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Artificial Intelligence in Pharmacometrics: Current Applications and Practical Examples

1. Introduction Pharmacometrics underpins model-informed drug development through population PK/PD modeling, exposure–response analyses, and PBPK/QSP frameworks. Increasing dataset complexity, adaptive trial designs, and demand for faster timelines are reshaping expectations. AI and ML methods are gaining traction not as replacements, but as accelerators and enhancers. This review presents recent (2022–2025) advancements in AI’s role across

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AI in Preclinical and Clinical Drug Development: Opportunities, Challenges, and Practical Applications

Introduction Bringing a new therapy from concept to market is a long, complex, and resource-intensive process. Timelines typically extend 8–12 years and costs can exceed $2 billion [1]. Despite this investment, only about 10% of drugs entering clinical trials ultimately receive approval [2]. These inefficiencies stem from high attrition rates, translation gaps between preclinical and

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Reimagining Oncology Development: Leveraging Healthy Volunteers to De-Risk and Accelerate Your Program

Introduction Oncology drug development has traditionally shunned healthy volunteer (HV) participation due to the high toxicity of classic chemotherapies [1]. Cytotoxic agents non-selectively kill rapidly dividing cells, causing severe side effects that would be unethical in individuals without cancer. However, the therapeutic landscape is changing. Over the past two decades, targeted therapies—drugs aimed at specific

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Physiologically-Based PK (PBPK) Modeling: Your Fast-Pass for DDI & Food-Effect Strategy

Even if you never build a PBPK model in-house, an early decision framework—knowing when PBPK can replace, complement, or simply de-risk clinical studies—cuts duplicated work and answers “what-if” regulatory questions before they become clock-stopping RFIs. Why deciding early—not necessarily modeling early—saves studies, budget, and review stress Small molecule therapies—and, occasionally, intravenous antibody–drug conjugates (ADCs) carrying

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IND vs IMPD: Building One Data Package That Satisfies Both FDA & EU Regulators

Executive snapshot Filing separate first-in-human (FIH) dossiers for the United States and Europe can drag an early-stage program six-plus months behind plan. A harmonised approach—one Common Technical Document (CTD) “master” that slots into both the FDA Investigational New Drug (IND) sequence and the EU Clinical Trials Regulation (CTR) portal (CTIS)—cuts review-cycle queries by ~35 %,

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Why Clinical Pharmacology and Regulatory Strategy Are Critical for Emerging Biotechs

Emerging biotech companies—and small to midsize pharma firms—face extraordinary constraints. Timelines are compressed, funding is finite, and regulatory expectations continue to evolve. These pressures make it essential to have a strategic development plan that integrates scientific rigor, operational efficiency, and regulatory foresight from the earliest stages. Biotech innovation is advancing at remarkable speed—but development timelines,

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