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How AI will reshape pharma by 2025

Drug Target Review

Artificial intelligence (AI) has revolutionised many industries, yet its adoption in pharmaceutical drug development has been notably slower. For years, AI and machine learning (ML) were often dismissed as little more than advanced statistics with little practical value in drug development.

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Understanding the Regulatory Environment in Japan for Generic Drug Development

Drug Patent Watch

The regulatory environment in Japan for generic drug development is complex and has undergone significant changes in recent years. Types of Drug Applications The PMDA accepts three main types of drug applications: Investigational New Drug (IND) : Required for conducting clinical trials in Japan.

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Overcoming Orphan Drug Development Challenges with Real-World Data and Evidence

PPD

Developing treatments for individuals living with rare diseases is critical, but orphan drug development is laden with unique obstacles that necessitate innovative, multifaceted approaches. Moreover, in some rare disease trials, it is unethical to design a control group of patients with a placebo.

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How Clinical Trial Trends are Redefining Drug Development

Quanticate

With the implementation of technology rapidly increasing, stricter regulatory standards, and growing demand for innovative treatments, the trends within the industry continue to evolve, impacting the future of clinical trials both positively and negatively.

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Real-World Evidence in Clinical Drug Development

Quanticate

Real-world evidence (RWE) is changing clinical drug development, bridging the gap between controlled clinical trial environments and the complexities of everyday patient experiences.

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Regulatory Guidance for Oligonucleotide Bioanalysis in Drug Development

Alta Sciences

Regulatory Guidance for Oligonucleotide Bioanalysis in Drug Development pmjackson Wed, 02/19/2025 - 21:30 The unique physicochemical properties of oligonucleotides require the use of specialized bioanalytical approaches, with key considerations including selectivity and specificity, sensitivity, stability, and matrix effects.

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Q&A: How to jump-start new psychiatric and neurological drug development

Broad Institute

Brain disorders are difficult to study and many drug candidates have failed in clinical trials, causing pharmaceutical companies to reduce their investments or even exit the field entirely. Your review article discussed the need to study genetically diverse patient samples. Biomarkers could take many forms.