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The evolution of AI in drug discovery: learning from history’s mistakes (Part 2)

Drug Target Review

Promising areas for AI implementation When discussing the most transformative AI applications in drug discovery, Sujeegar identifies a particularly ambitious goal: developing AI models that can simulate human pharmacokinetics and pharmacodynamics (PK/PD) using only preliminary laboratory data.

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The rising impact of biomarkers in early clinical development

Drug Target Review

In a recent survey conducted by ICON, Plc, biomarker selection was identified by 35 percent of respondents as a top challenge among drug developers for phase I trials, second only to navigating regulatory compliance (- 38 percent). For use as endpoints, biomarkers must be correlated to a valid clinical outcome.

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Optimized 505(b)(1) and 505(b)(2) Clinical Pharmacology Programs to Accelerate Drug Development

The Premier Consulting Blog

In this blog, we explain the role of clinical pharmacology in drug development and demonstrate how the right strategy can accelerate development under the US Food and Drug Administration (FDA) 505(b)(1) and 505(b)(2) New Drug Application (NDA) pathways.

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Five Promising Treatment Areas in Early-Phase Drug Development in 2024

Alta Sciences

Five Promising Treatment Areas in Early-Phase Drug Development in 2024 aasimakopoulos Wed, 04/17/2024 - 15:52 Early-phase drug development is an ever-changing landscape, as emerging science leads to new promising areas of research for the treatment of human health issues.

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Applying Artificial Intelligence to Transform the Patient Enrollment Paradigm in Clinical Research

PPD

In today’s data-driven world, AI has become valuable and indispensable, enabling organizations to extract valuable insights from vast amounts of data, make informed decisions and drive innovation across different sectors — including drug development.

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The Role of DrugBank in Precision Medicine

DrugBank

How DrugBank Supports Precision Medicine DrugBank offers one of the world’s most comprehensive drug and molecular information databases. It provides detailed data on drug interactions, molecular targets, pharmacokinetics, and biological pathways, all critical for developing personalized therapies.

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In search of the perfect assay description

The ChEMBL-og

Relevant parameters depend on the nature of the assay; for example, protein binding assays should include details of any protein sequence variation as well as other biological entities present in the assay (e.g. On the other hand, the drug concentration and route of administration are more relevant for the interpretation of ADMET assays.