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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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Key Trends Drug Developers Need to Know to Succeed

PPD

As the pharmaceutical industry continues to evolve, drug developers encounter new challenges and opportunities in their pursuit of innovation. These annual results provide valuable insights into the state of drug development, highlighting shifts in industry practices and illuminating emergent areas of focus.

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Biomarker Analysis in Drug Development: Boosting Precision Medicine

Crown Bioscience

Introduction to Biomarkers in Drug Development Biomarkers have become a cornerstone in the advancement of modern drug development and precision medicine. The use of biomarkers has transformed the pharmaceutical industry by allowing researchers to develop therapies that target specific pathways in diseases.

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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. We asked Hyman, who is also a core institute member at Broad, to talk about the new framework and what he thinks are the biggest opportunities.

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Pharmacognosy and Drug Patents: Unveiling Nature’s Medicinal Treasures

Drug Patent Watch

In the vast realm of pharmaceutical research and development, there’s a fascinating intersection between ancient wisdom and modern science. This intersection is where pharmacognosy meets drug patents, creating a unique landscape that shapes the future of medicine. What is a Drug Patent?

Drugs 97
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The Real Cost of Complexity: What Every Drug Developer Needs to Know

PPD

Our annual look at the state of the drug development industry highlights a dual set of challenges complicating progress. Rising costs have become a persistent challenge for drug developers, driven by a combination of internal and external pressures that have intensified in recent years.

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The Data-Driven Future of Drug Development

DrugBank

Data science has emerged as an innovative tool in the biopharmaceutical industry, leveraging the power of machine learning and artificial intelligence to drive innovation and efficiency across the entire drug development lifecycle. This was seen in the case of the BRAF V600E mutation test for melanoma patients receiving vemurafenib.