Why Gynaecological Cancers Are Some of Pharma’s Most Important Challenges
Gynaecological cancers remain a major pharma challenge. Explore how disease burden, access, tumour biology, and precision medicine are shaping oncology R&D.
Genetics & Molecular Biology
Why Does the True Impact of AI in Drug Discovery Lag?
AI in drug discovery keeps making headlines, but clinical success rates barely move. A new Nature Reviews Perspective explains why, and what pharma should do next.
Synthetic Genetic Codes Move Closer to Programmable Biology
Synthetic genetic codes are moving closer to programmable biology as automated cell-free systems enable faster testing of new protein chemistries in R&D.
AI-Driven Digital Organisms Could Change Drug Discovery
AI-driven digital organisms could transform drug discovery by simulating biology across scales. Explore GenBio AI's AIDO vision and the virtual cell.
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.
Could q-CAR Redefine Drug Discovery?
Find out how q-CAR drug discovery moves beyond static protein structures by linking protein dynamics, ligand activity, and AI to precision drug design.
AI Creates New Viruses? Not Quite. AI-Designed Bacteriophages
AI-designed bacteriophages show how genome models could create new antibacterial therapies while forcing pharma to rethink biological AI governance and biosecurity.
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.
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."
Great Drug Discovery Starts with Great Scientists
Learn how drug discovery scientists are evolving alongside AI, computational biology, and multidisciplinary research to accelerate therapeutic innovation.
Claude Science: An Operating System for AI-Driven Pharma R&D
Claude Science is a new AI R&D tool for drug discovery, integrating 60-plus scientific databases into one place. Here is what pharma R&D teams need to know.
Can Deep Learning Survive the Precision Medicine Paradox?
As precision medicine narrows patient cohorts to rare‑disease scales, deep learning models face a paradox of data scarcity and overfitting that threatens the future of clinical AI.
