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."
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Discover how predictive modelling, QSP, AI, and systems biology creates better drug development by connecting biological evidence with better predictions.
FDA oncology clinical trial guidance targets restrictive eligibility criteria, covering performance status, washout periods, medications, and laboratory values.
EHR patient recruitment could improve clinical trial matching, but workflow integration, data quality, interoperability, and AI validation remain key challenges.
Find out how q-CAR drug discovery moves beyond static protein structures by linking protein dynamics, ligand activity, and AI to precision drug design.
Revised FDA draft guidance for generic peptide products updates expectations for ANDAs, impurities, structure, immune response, and biological activity.
Ethical obligations in decentralised clinical trials extend beyond consent and privacy. Sponsors must protect safety, scientific validity, equity, and oversight.
Ocular drug delivery faces major biological barriers. Nanocarriers could improve bioavailability, tissue targeting, controlled release, and treatment for difficult eye diseases.
Adaptive clinical trials can improve efficiency, reduce patient burden, and support faster development through structured, evidence-based flexibility.
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.
Patient and public involvement in clinical trials improves study design. Learn why better reporting is essential for transparent, patient-centred research.
Find out how psychedelic drug discovery is evolving through receptor pharmacology, behavioural science, and neuroplasticity to develop safer CNS therapeutics.