Pharmaceutical Industry Articles & Reports

An overview of AI applications in the pharmaceutical sector, from generative AI to ML. Explains key IT management challenges like data, compliance, and security.

Review a list of global online degrees and certificates in AI for pharmaceutical science. Compare programs by level, curriculum, cost, and duration.

An overview of OpenAI's open-weight GPT-OSS models. Examine their technical specifications, benchmark performance, and applications for reasoning in healthcare.

Examines how AI accelerates the pharmaceutical drug pipeline, reducing time to market. Learn about its impact on preclinical testing, clinical trials, and manufacturing.

Examines RegTech adoption challenges for emerging biotechs, focusing on cost and scalability. Explains flexible licensing and deferred-value models for compliance.

An explanation of active learning principles and their adaptation for Large Language Models (LLMs) using human-in-the-loop (HITL) feedback for model alignment.

This article examines strategies for integrating content management systems like Box and Veeva Vault to overcome information silos in regulated environments.

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

An explanation of regulatory requirements for audit trails under 21 CFR Part 11 and EU Annex 11, covering automation strategies and data integrity measures.

An explanation of the Model Context Protocol (MCP) and its integration with Claude Code. Learn how MCP servers enable AI agents to perform internet searches.

An explanation of a single source of truth (SSOT) for the pharmaceutical industry. Learn how an SSOT integrates data across the drug lifecycle to ensure consistency.

An analysis of how CRM systems support medical device firms in managing HCP relationships, sales pipelines, and maintaining strict regulatory compliance.

An analysis of AI code assistants in large codebases. Evaluates Copilot, CodeWhisperer, and others on accuracy, context handling, security, and IDE integration.

This report details how pharmaceutical companies use mobile apps for patient support, medication adherence, and data collection, outlining strategies and challenges.

An overview of Reinforcement Learning (RL) and RLHF. Learn how RL uses reward functions and how RLHF incorporates human judgments to train AI agents.

Explore a comprehensive comparison of Tableau and Power BI, analyzing market share, features, pricing, and adoption trends for data professionals.

A technical review of dedicated OCR engines not based on LLMs. Examines computer vision and sequence modeling architectures, performance, and applications.

Explore how ERP systems integrate biotech R&D, manufacturing, and finance, ensuring GxP compliance and traceability. Covers major and niche vendor solutions.

A technical guide to Reinforcement Learning from Human Feedback (RLHF). This article covers its core concepts, training pipeline, and key alignment algorithms.

This article details AI applications in pharmaceutical business intelligence, covering drug discovery, clinical trials, supply chain, real-world evidence, and market intelligence.

Examines Kimi K2, a trillion-parameter open-weight LLM from Moonshot AI. Learn its technical details, development background, and strategic context.

This article explains Integrated Business Planning (IBP) as a strategic imperative for the pharmaceutical industry, detailing its role in unifying cross-functional plans and decision-making.

Explore 21 CFR Part 11 compliance for electronic records, signatures, and AI in GxP. Covers key elements, FDA guidance, and controls for data integrity and audit-ready systems.

This article defines Sales Force Effectiveness (SFE) in the MedTech industry, explaining its strategic importance for optimizing performance and achieving growth in a competitive market.