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Read What 13 Years of Data Shows About Drug Innovation in Psychiatry

Nicole Dale

What 13 Years of Data Shows About Drug Innovation in Psychiatry

From 2012 through 2024, the FDA only approved 22 drugs for the treatment of psychiatric conditions. Pharma R&D teams must rethink development strategies to unstall drug innovation in psychiatry

Drug Discovery

Read Drug Discovery and Pharmacoinformatics in 2026

Nicole Dale

Drug Discovery and Pharmacoinformatics in 2026

Pharmacoinformatics is redefining drug discovery strategy. This analysis covers the AI platforms, molecular design tools, and regulatory frameworks shaping R&D pipelines in 2026.

Drug Discovery

Read Why Precision Alone Isn't Enough in Oncology Drug Discovery

Nicole Dale

Why Precision Alone Isn't Enough in Oncology Drug Discovery

Precision alone isn’t enough in oncology drug discovery. See why execution, biomarkers, and trial design determine scalable success in precision medicine.

Drug Discovery

Read Phenotypic Drug Discovery: Beyond the Target

Nicole Dale

Phenotypic Drug Discovery: Beyond the Target

Phenotypic drug discovery is reshaping how pharma finds first-in-class drugs. This analysis covers the methods, AI integration, and strategic decisions R&D leaders face in 2026.

Drug Discovery

Read Great Drug Discovery Starts with Great Scientists

Nicole Dale

Great Drug Discovery Starts with Great Scientists

Learn how drug discovery scientists are evolving alongside AI, computational biology, and multidisciplinary research to accelerate therapeutic innovation.

Drug Discovery

Read FDA 2026 Draft Guidance on Alternatives to Animal Testing

Nicole Dale

FDA 2026 Draft Guidance on Alternatives to Animal Testing

Illustration representing FDA alternatives to animal testing, featuring laboratory research, organ-on-chip technology, genetic science, AI-enabled drug discovery and next-generation pharmaceutical testing methods.

The FDA's March 2026 draft guidance on alternatives to animal testing marks a pivotal shift in preclinical drug development. Here's what pharma R&D teams need to know.

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