Pharmaceutical Industry Articles & Reports - Page 30

Explore US pharmaceutical automation compliance, covering FDA regulations like cGMP & 21 CFR Part 11, Pharma 4.0 trends, challenges, and best practices.

Examines how an OpenAI AI system achieved a gold medal score at the 2025 IMO, detailing its performance, natural-language proofs, and AI reasoning ability. Updated with DeepMind's gold medal achievement and latest 2026 developments.

This article explains pharmaceutical serialization software, its critical role in securing the drug supply chain, and adherence to regulations like DSCSA and FMD. Updated with 2025-2026 enforcement deadlines and vendor developments.

An analysis of AI applications for Veeva Systems in life sciences. Examines emerging consultancies, market trends, and use cases in regulatory and commercial ops.

Evaluate top 10 accounting/ERP solutions for pharmaceutical companies. Learn about features like regulatory compliance, batch tracking, and quality control systems.

Explore AWS cloud computing's role in life sciences for scalable data processing, HPC, and analytics. Learn how AWS facilitates innovation in biotech and pharma.

Learn how Power BI consultants apply business intelligence to pharmaceutical data, addressing regulatory needs, clinical trial insights, and RWE analysis.

Explore AI code assistants suitable for air-gapped, on-premises enterprise deployment. Understand infrastructure, security, and integration for highly regulated environments.

This article details AI's role in biotech sample management, covering traditional workflows, challenges, AI innovations, regulatory issues, and future outlook.

Explore clinical AI's role in patient care, decision-making, and medical data analysis. Learn about its applications in diagnosis, treatment, and outcome prediction, driven by tech advances.

Explore how Oracle Cloud CX supports customer experience in life sciences, encompassing CRM, marketing, and service applications for compliant engagement with HCPs and patients.

Explore Medidata Rave CTMS and EDC solutions, including their history, features, and real-world application in clinical trials. Learn about market standing and competitors.

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

Learn about key technical, regulatory, organizational, ethical, and financial barriers hindering AI adoption in life sciences, with emerging solutions including the latest FDA/EMA guidance and regulatory sandboxes.

Explore how generative AI is applied in mRNA vaccine development, using Moderna and Pfizer's COVID-19 vaccine as a case study to understand rapid immunization advancements.

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.

Learn how regulatory affairs ensures product compliance in health industries. Explore the fundamental role of AI and LLMs in modern regulatory processes, including the latest FDA/EMA joint guidance and EU AI Act requirements.

Learn about the 2025 job market for Computer System Validation (CSV) professionals. Understand CSV's critical role in regulated industries for data integrity and patient safety.

Learn about regulatory compliance software in pharmaceuticals, covering GMP, GLP, GCP, FDA 21 CFR Part 11, and EU Annex 11 standards for data integrity.

This report analyzes Veeva Systems' US executive compensation, detailing CEO and CFO pay components sourced from SEC filings and crowdsourced data. Learn about salary, bonus, and equity.

Learn about Pharmaceutical Field Force Effectiveness (FFE), its definition, strategic importance for commercial goals, and key performance indicators.

Explore pharmaceutical commercial operations, covering essential activities from market research and marketing strategy to sales execution and product distribution after regulatory approval.

Explore ChatGPT as a Generative AI and Large Language Model. Learn its core GPT architecture, Transformer backbone, and how it processes language.

This guide details a structured approach for Generative AI adoption in life sciences, covering strategy, governance, technology, training, and ethical considerations.