Better Predictive Modelling for Better Drug Development
Discover how predictive modelling, QSP, AI, and systems biology creates better drug development by connecting biological evidence with better predictions.
“The pharma industry is beginning to look at biological age as a surrogate endpoint to improve clinical trials."
Explore expert-led podcasts, pharmaceutical intelligence, life sciences insights and research-driven analysis from leading industry voices. Pharmatica delivers trusted biotech news, drug development trends and commercial intelligence for professionals across the pharmaceutical sector.
Discover how predictive modelling, QSP, AI, and systems biology creates better drug development by connecting biological evidence with better predictions.
Robotics in pharmaceutical manufacturing is strengthening GMP through automation, contamination control, traceability, and more consistent production processes.
FDA oncology clinical trial guidance targets restrictive eligibility criteria, covering performance status, washout periods, medications, and laboratory values.
Find out how q-CAR drug discovery moves beyond static protein structures by linking protein dynamics, ligand activity, and AI to precision drug design.
Data integrity and ALCOA principles are under new pressure as digital twins, AI, and continuous manufacturing reshape pharma production and quality control.
Revised FDA draft guidance for generic peptide products updates expectations for ANDAs, impurities, structure, immune response, and biological activity.
See how cold chain optimisation can reduce pharmaceutical logistics costs, emissions, and product risk by modelling uncertainty across storage and distribution.
Ocular drug delivery faces major biological barriers. Nanocarriers could improve bioavailability, tissue targeting, controlled release, and treatment for difficult eye diseases.
A continuous improvement mindset strengthens pharma manufacturing quality. See how quality management and CGMP inspections can sustain continuous improvement.
Blockchain in pharma manufacturing could strengthen traceability, data integrity, and supply-chain visibility. Pharmatica examines the evidence and barriers.
Collaboration in drug discovery can shape pharma R&D success. Explore the evidence on pharma partnerships, knowledge sharing, governance, and innovation.
Learn how AI in pharmaceutical GMP manufacturing is improving quality, data integrity, predictive maintenance, and regulatory compliance in modern drug production.