Pharmaceutical Industry Articles & Reports - Page 14

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.

Explore key software needs, technology stacks, and specific tools like AI-driven drug design and cheminformatics in pharmaceutical software development.

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.

This article explains pharmaceutical serialization software, its critical role in securing the drug supply chain, and adherence to regulations like DSCSA and FMD.

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.