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Editorial

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Your Trusted Source for Biopharma News
Editorial From Breakthroughs to Scale: Biopharma Platforms Shaping 2026

In 2026, boards and customers are asking a direct question: can promising science be turned into reliable, affordable systems that deliver audited outcomes at scale, quarter after quarter, without…

Biopharma's 2026 Playbook: AI, M&A, and the Race for Pipeline Security
EditorialBiopharma's 2026 Playbook: AI, M&A, and the Race for Pipeline Security

The partnership between Eli Lilly and NVIDIA to build a supercomputer capable of running trillions

Seven Biopharma Trends to Watch in 2026
EditorialSeven Biopharma Trends to Watch in 2026

The biopharma playbook is being actively rewritten. After years of chasing breakthrough science at

How Will the Global Obesity Market Accelerate Through 2026?
EditorialHow Will the Global Obesity Market Accelerate Through 2026?

The pharmaceutical sector is entering a decisive phase as obesity therapeutics gain more ground as

The CMC Challenge of Scaling Cell and Gene Therapies
EditorialThe CMC Challenge of Scaling Cell and Gene Therapies

Advanced Therapy Medicinal Products cannot be scaled the same way biologics were. The core

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Research & Development

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Tech & Innovation

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Can Network Bio Revolutionize AI and Human Biology?
Tech & Innovation Can Network Bio Revolutionize AI and Human Biology?

A robust infrastructure that integrates tissue samples with deep molecular information is essential for dismantling the silos between different medical disciplines. The launch of Network Bio, a Palo Alto-based firm, marks a pivotal shift in the intersection of artificial intelligence and medicine.

VA Expands Electronic Health Record System Across Indiana
Tech & InnovationVA Expands Electronic Health Record System Across Indiana

Healthcare providers in Indianapolis and Fort Wayne are now engaging in peer-to-peer knowledge

AI Tools Pose National Security Risks in Biotechnology
Tech & InnovationAI Tools Pose National Security Risks in Biotechnology

The RAND Corporation warns that current AI capabilities in applied biological sciences could soon

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