In this episode presented by Cresset, BioSpace’s head of insights Lori Ellis discusses clinical trial fail rates and AI’s potential to reduce preclinical costs with Mutlu Dogruel, VP of AI and Mark Mackey, CSO of Cresset. #podcast #clinicaltrials #pharma #biospace
Just in! Our AI team developed rBio, an AI assistant trained on virtual cell models + real scientific data. It’s a step toward building AI-based virtual cells that can simulate biology, helping scientists explore disease at its cellular roots. https://t.co/7U4MP4qzyr
Building AI for drug development, safety monitoring, or clinical trials? iMerit provides expert annotation, GxP/FDA/EMA-aligned workflows & secure infrastructure to power pharma AI. Learn more: https://t.co/39GylAq46b #PharmaAI #MedicalAI #ClinicalData #GxPCompliance https://t.co/y0SCmeVFoX

Ginkgo Bioworks, operating under the ticker $DNA, has partnered with Inductive Bio and Tangible Scientific to implement AI-driven lab-in-the-loop workflows aimed at accelerating drug discovery and development across the biopharma industry. This collaboration combines Ginkgo’s ADME profiling capabilities, Inductive Bio’s AI-driven chemistry design, and Tangible Scientific’s compound management system to reduce iteration times in drug development processes. The partnership addresses existing bottlenecks in drug design workflows, such as shipping, receiving, and lab testing, which have not been fully resolved by AI applications to date. Concurrently, advancements in AI for pharma include the development of rBio, an AI assistant trained on virtual cell models and real scientific data, designed to simulate biological processes and aid in disease research at the cellular level. Industry discussions continue around AI’s role in reducing clinical trial failure rates and preclinical costs, highlighting the growing integration of AI technologies in pharmaceutical research and development.
