From FHIR-based APIs to “hybrid data models” and blockchain-enabled audit trails, biopharma companies are exploring a range of strategies in their quest to incorporate Real World Data (RWD) into clinical trials. But technology alone won’t resolve the deeper issues at play. From bridging disparate data sources to safeguarding patient privacy under evolving regulations, sponsors face…
How the duo of cryo-EM and AI is unveiling protein dynamics in unprecedented resolution
Over the past few decades, structural biology has undergone a quiet renaissance, thanks in large part to technological advances in cryogenic electron microscopy (cryo-EM) and computational techniques. Cryo-EM has emerged as a powerful tool for determining the high-resolution structures of proteins and protein complexes, complementing traditional methods like X-ray crystallography and nuclear magnetic resonance (NMR)…
How federated learning can enable faster, more accurate pharmaceutical-grade AI
It’s been said that data is the new oil, something pharma researchers understand well. The phrase hits especially close to home for artificial intelligence (AI) researchers who work heavily with medical images. Medical imaging is a powerful diagnostic tool in the drug development process, as it can provide the efficacy and safety monitoring required in…