Regulatory & Commercialisation

Nicole Dale

Can AI and Machine Learning in Sterile Manufacturing Improve Quality?

Pharmatica image representing AI and machine learning in sterile pharmaceutical manufacturing. The image shows precision glass ampoules with a digital data mesh overlay, symbolising AI-driven quality and contamination detection.

Discover how AI/ML in sterile pharmaceutical manufacturing enables predictive maintenance, quality control, contamination detection, and intelligent GMP operations.

Nicole Dale

Could Biological Age Become Pharma's Most Important Biomarker?

Biomarkers biological age illustration showing a human silhouette, DNA strands and AI-powered health analysis representing precision medicine and longevity research.

New research shows biomarkers of biological age predict mortality and hospitalisation better than chronological age, opening new opportunities for pharma innovation.

Nicole Dale

AI and Neuroscience. Why Big Pharma Is Betting on the Brain

Pharmatica’s AI in neuroscience graphical concept showing a digital brain connected to pharmaceutical research, precision psychiatry, biomarkers, and advanced artificial intelligence technologies.

AI in neuroscience is driving big pharma investment. Discover how AI neuroscience platforms are driving precision psychiatry and psychedelic therapeutics.

Nicole Dale

GLP-1 Drug Discovery Success Transformed Pharmaceutical R&D

Pharmatica photorealistic illustration of GLP-1 drug discovery showing peptide molecules, metabolic signalling pathways, and obesity treatment research in a modern pharmaceutical laboratory.

From gut hormones to global therapeutics, GLP-1 drug discovery transformed obesity treatment through peptide engineering and incretin biology translation.

Shubhangi Dua

Could Biological Ageing Be the Next Big Shift in Drug Discovery?

“The pharma industry is beginning to look at biological age as a surrogate endpoint to improve clinical trials."