Articles tagged with “drug-development”

Read an analysis of Amazon Bio Discovery, an AWS agentic AI platform integrating biological foundation models and wet-lab workflows for drug development.

Examine the role of AI in clinical trial protocol design. This report analyzes how BMS, Faro Health, and Evinova use digital protocols in drug development.

Review the FDA's 7-step AI credibility assessment framework. Understand how to validate and document AI models for regulatory drug development submissions.

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 covers benefits, risks, GxP compliance, FDA/EMA 2026 joint AI principles, and tools like AutoIND and Narrativa.

Learn about Clarivate Cortellis, the life sciences intelligence platform for drug discovery and R&D. Updated for 2026 with AI assistant launch, Claude MCP integration, and potential divestiture news.

Explore the Boston-Cambridge biotech ecosystem in 2026. This guide covers top companies like Biogen, Vertex & Moderna, venture funding trends, federal policy impacts, and Massachusetts' drug development pipeline.

Learn how AI and machine learning analyze Real-World Data (RWD) to generate Real-World Evidence (RWE). Explore key applications including LLM-driven data extraction, pharmacovigilance, and synthetic control arms, plus 2025-2026 FDA and EMA regulatory updates.

A comprehensive guide to the Target Product Profile (TPP) for drug development, updated for 2026. Learn TPP components, FDA and ICH guidance, IQVIA adoption data, and how to align your TPP with the final drug label.

Explore the rise of CRO consolidation in clinical trials, updated for 2026. Covers major M&A deals (Thermo Fisher/Clario, Fortrea spin-off, Syneos take-private), market trends, AI-driven acquisitions, and the impact on pharma sponsors and trial quality

Learn what an Investigator's Brochure (IB) is, its required content per ICH GCP E6(R3) guidelines (finalized 2025), 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 comprehensive guide to the clinical trial protocol, updated for 2026 with ICH E6(R3) and ICH M11 developments. 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. Updated for 2026 with AI drug discovery milestones, ICH E6(R3), FDA AI guidance, and latest cost and success rate data. Covers every stage from discovery through approval.

Learn the critical differences between preclinical and clinical research in drug development, from lab-based toxicology (GLP) to human clinical trials (GCP). Updated with FDA Modernization Act 3.0, NAMs guidance (2026), AI drug discovery trends, and current attrition data.

Learn what a Contract Research Organization (CRO) is and its critical role in modern drug development. Updated for 2026 with latest market data, ICH E6(R3) guidelines, BIOSECURE Act impacts, AI adoption trends, and major M&A activity including Thermo Fisher/Clario and Syneos Health privatization.

An in-depth guide to the four phases of clinical trials, updated for 2026. Learn Phase I-IV objectives, FDA single-trial approval policy, ICH E6(R3) updates, AI-driven trial design, and current success rates

Explore the state of Real-World Evidence (RWE) analysis in 2025-2026. This guide covers RWD sources, analytical methods, FDA/EMA regulatory frameworks, ICH E6(R3), synthetic control arms, AI-driven RWE platforms, 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 in 2026. Learn about sources for drug development, regulatory changes, patent cliff coverage, and market intelligence.

Learn how open source software like R and Python is changing pharma R&D. From Novo Nordisk's first R-based FDA submission to AlphaFold 3's open-sourcing, we analyze the accelerating 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.