Articles tagged with “drug-development”

Explore AI applications in clinical development plans, including protocol optimization, synthetic control arms, and patient recruitment strategies for trials.

A Clinical Development Plan (CDP) outlines the strategy for drug approval. Learn about trial phases, the Target Product Profile, and regulatory requirements.

Explore key strategies for accelerating pharma regulatory submissions. Learn about expedited pathways, process redesign, and the role of AI in shortening drug a

Learn how Regulatory Information Management (RIM) systems help biotech firms manage compliance. This guide details core capabilities, submission planning, and t

Learn how generative AI and LLMs assist in drafting pharma IND & CTA submissions. This guide explains the benefits, risks, GxP compliance, and FDA/EMA guidance.

Learn about Clarivate Cortellis, the life sciences intelligence platform for drug discovery and R&D. This guide covers its modules, data, history, and AI featur

Explore the Boston-Cambridge biotech ecosystem. This guide covers top companies like Biogen & Vertex, venture funding, and Massachusetts' drug development pipel

Learn how AI and machine learning analyze Real-World Data (RWD) to generate Real-World Evidence (RWE). Explore key applications, benefits, and challenges.

A guide to the Target Product Profile (TPP), a strategic document for drug development. Learn its components, purpose, and how to align it with the final drug l

Explore the rise of CRO consolidation in the clinical trials industry. This analysis covers M&A trends, key drivers, and the impact on pharma sponsors and quali

Learn what an Investigator's Brochure (IB) is, its required content per ICH GCP guidelines, and its critical role in assessing risk for clinical trials.

Learn about the EU Clinical Trial Regulation (CTR) 536/2014 and the CTIS portal. This guide covers harmonized submission processes, key timelines, and transpare

A guide to the clinical trial protocol. Learn its core components, importance in research, and how to manage complexity and amendments for successful trials.

Learn why the drug development timeline averages 10-15 years. This guide details each stage from discovery and preclinical studies to all clinical trial phases

Learn the critical differences between preclinical and clinical research in drug development, from lab-based toxicology (GLP) to human clinical trials (GCP).

Learn what a Contract Research Organization (CRO) is and its critical role in modern drug development. This guide covers CRO services, benefits, and market tren

An in-depth guide to the four phases of clinical trials. Learn the objectives of Phase I-IV, from establishing drug safety and efficacy to post-approval studies

Explore the state of Real-World Evidence (RWE) analysis. This guide covers RWD sources, key analytical methods, regulatory use cases, and compares RWE with RCTs

Explore the 2025 rare disease landscape, affecting 300 million people globally. Learn about diagnostic challenges, orphan drug development, and future policy di

Explore a comprehensive list of the top pharma news websites and biotech publications. Learn about sources for drug development, regulatory changes, and market

Learn how open source software like R and Python is changing pharma R&D. We analyze the shift from proprietary systems to collaborative drug discovery models.

Learn why over 85% of clinical trials face delays. Updated for 2026, this analysis covers key scientific, operational, and regulatory challenges from Phase I to III, including site activation bottlenecks, AI-driven recruitment, and ICH E6(R3) GCP updates.

Updated 2026 guide to finding drugs in the clinical pipeline (Phase I-III). Learn to use ClinicalTrials.gov (550K+ studies), CTIS, commercial databases, and AI-powered tools like Pharmaprojects+ and TuneLab.

An in-depth analysis of Merck's GPTeal platform and expanding AI strategy. Covers the KERMT drug discovery model, Mayo Clinic partnership, CSR automation results, and enterprise-scale LLM deployment across pharma R&D.

Learn about the specialized software tools used across the drug development lifecycle, from discovery and preclinical research to manufacturing and commercialization. Updated for 2026 with ICH E6(R3), DSCSA compliance deadlines, IDMP/PMS timelines, and the latest in AI-driven drug design.

An explanation of Clinical Data Management (CDM) and its function in research. Learn how CDM ensures high-quality, reliable data for clinical trials.

Examines how AI accelerates the pharmaceutical drug pipeline, reducing time to market. Updated for 2026 with the latest clinical milestones, FDA guidance, and industry developments including Insilico Medicine's Phase IIa results and the Recursion-Exscientia merger.

An overview of the pharmaceutical industry's history, from 19th-century origins to the current global market size, sales figures, and regional distribution.

Learn about 10 key AI innovations that optimize clinical trials, improving efficiency, reducing costs, enhancing patient safety, and speeding drug development.

Learn why new drug development takes over a decade, discussing the high attrition rates, extensive research, and regulatory hurdles involved in bringing medicines to market.

Explore profiles of top global pharmaceutical thought leaders, including their backgrounds, speaking topics, notable engagements, and industry influence.

A practical guide to clinical trial phases 1–3 for pharma IT: objectives, compliance, costs, and IT infrastructure for modern drug development.

An exploration of how artificial intelligence is revolutionizing drug development processes, from target identification to clinical trials, with focus on implementation strategies and success metrics.

An analysis of how artificial intelligence is transforming regulatory affairs in pharmaceuticals, from submission preparation to compliance monitoring and regulatory intelligence.

A comprehensive analysis of ChatGPT integration in life sciences, examining implementation strategies, regulatory compliance, and real-world applications across pharmaceutical research and development.

Comprehensive overview of Oracle's role in the pharmaceutical industry, covering their Health Sciences solutions, cloud infrastructure, compliance features, and case studies of successful implementations at major pharma companies.

A comprehensive analysis of how pharmaceutical companies leverage SAP's enterprise solutions for drug development, clinical trials, manufacturing, supply chain management, and regulatory compliance, with detailed case studies from leading pharma companies.

An in-depth analysis of the five most digitally innovative pharmaceutical companies in Europe, examining their AI initiatives, digital transformation strategies, and how they're leveraging technology to accelerate drug development and improve patient outcomes.