WHOOP x Natural Cycles: Wearable Health Data x Women’s Health
WHOOP and Natural Cycles show how wearable health data is moving into regulated digital health, creating new opportunities for women’s health and pharma.
“The pharma industry is beginning to look at biological age as a surrogate endpoint to improve clinical trials."
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WHOOP and Natural Cycles show how wearable health data is moving into regulated digital health, creating new opportunities for women’s health and pharma.
Blockchain in pharma manufacturing could strengthen traceability, data integrity, and supply-chain visibility. Pharmatica examines the evidence and barriers.
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.
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.