Collaborating for R&D Success in Drug Discovery
Collaboration in drug discovery can shape pharma R&D success. Explore the evidence on pharma partnerships, knowledge sharing, governance, and innovation.
“This is one of the riskiest industries there is because you're dealing with human lives, you're dealing with experimental protocols, and you're dealing with regulatory bodies where you might not get another shot at that clinical trial."
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Collaboration in drug discovery can shape pharma R&D success. Explore the evidence on pharma partnerships, knowledge sharing, governance, and innovation.
RNA biosensors for diabetes could allow earlier diagnosis and better personalised care. Explore the power of AI monitoring and next-generation molecular diagnostics.
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.
Google SensorFM was pretrained on over one trillion minutes of wearable data. Discover what this AI foundation model could mean for digital health and pharma.
Discover how dry mRNA vaccine patches could reduce cold chain dependence, improve vaccine stability, and reshape pharmaceutical manufacturing and distribution.
A recent systematic review reveals incredible detail about informed consent in clinical trials, participant understanding, and trial quality. Find out now.
Read about machine learning for lipid nanoparticle design used to improve cell, gene, and RNA drug delivery and help optimise next-generation therapeutics.
“The pharma industry is beginning to look at biological age as a surrogate endpoint to improve clinical trials."
See how Anthropic's Gates Foundation partnership and Long-Term Benefit Trust could lead the way in shaping responsible AI governance across healthcare innovation.
Discover how AI/ML in sterile pharmaceutical manufacturing enables predictive maintenance, quality control, contamination detection, and intelligent GMP operations.