There is a great need for sensitive, precise, and easily accessible analytical detection techniques for protein sequencing.

Biologics Quality Control: The Growing Need for Accessible Proteomics

The emergence of mRNA vaccines and cell and gene therapies has pushed innovation in analytical methods.

Emerging Therapies Drive Analytical Advancements

Effective analytics will eliminate failures, deviations, and non-conformances.

 Analyzing Exabytes

Topic

Cynthia A. Challener is a contributing editor to Pharmaceutical Technology.

Articles

Artificial intelligence and machine learning are anticipated to boost success rates.

Predictive Modeling for Small-Molecule Formulation Development Using Advanced Algorithms 

Artificial intelligence, machine learning, and novel instruments are helping drug developers evaluate complex data from bioanalytical studies.

Enhancing Bioanalysis and Drug Development with Advanced Tools and Technologies 

 is vice-president, Product Management for AI & Data at 

, based in London. A data science actuary, he has built his career in fintech and health-tech, and specializes in AI-powered, data-driven, yet human-centric product innovation. He previously led an AstraZeneca digital incubator and today remains on the board of a health charity, Scleroderma & Raynaud's UK (SRUK), which is dedicated to improving the lives of people affected by those conditions in the UK.

In the conclusion of this three-part series, the author explores the potential use of agentic AI in pharmaceutical R&D.

What’s Reasonable to Expect from Agentic AI in Pharma? Part Three: Tapping Agentic AI’s Potential

In this continuation of a three-part series, the author explores the potential use of agentic AI in pharmaceutical R&D.

What’s Reasonable to Expect from Agentic AI in Pharma? Part Two: Agentic AI’s Adoption in Life Sciences

Jennifer Markarian is a contributing editor for 

Advances in digital technologies offer effective data handling for bio/pharma manufacturing.

Optimizing Data Use for Digital Transformation

In a three-part series, the author explores the potential use of agentic AI in pharmaceutical R&D.

What’s Reasonable to Expect from Agentic AI in Pharma? Part One: The Evolution of AI

Feliza Mirasol is the science editor for 

Bothe data integrity and quality of data are critical for drug discovery, manufacturing efficiency, regulatory compliance, and patient safety.

PDA 2025: How Data-Driven AI Transforms Quality Control & Development

The laboratory services provider is responding to growing demand for packaging and microbiological testing by expanding its laboratory space at its Wiesbaden, Germany, facility.  

Nelson Labs Expands Laboratory Capacity and Services at German Facility

Chris Spivey is director of Industry Relations and Strategic Partnership, MJH Life Sciences.

Videos

Behind the Headlines, Episode 23: Patent Cliff Deals, Tariff Pressures, and the In Vivo Cell Therapy Bet

Survey responses indicate that bio/pharma faces tariff-driven rising costs and supply strain, with firms aiming to boost compliance and diversification and seeking stable trade and R&D support.

Analytics

Biologics Quality Control: The Growing Need for Accessible Proteomics

Emerging Therapies Drive Analytical Advancements

Analyzing Exabytes