Federated clinical intelligence
Privacy-preserving, secure healthcare data federation to power AI and analytics for the healthcare and life sciences ecosystems
About BLOOM
BLOOM Federated is building a collaborative, federated clinical data network and platform to address the fragmentation of clinical data.
Why? High-quality analytics and AI depend on access to large, representative datasets spanning structured and unstructured clinical records, imaging and -omics data. Yet sharing such multimodal data is often impractical or impossible due to organizational, technical and privacy constraints.
Federation offers a solution. BLOOM enables analytics and AI model training across distributed, multi-institution datasets without moving or exposing raw data.
Powering Better AI and Analytics
Ecosystem-First
Enable academic medical centers, hospital systems, biopharma and medtech to collaborate to advance research, AI model development, clinical trial optimization, HEOR, indication expansion and post-market safety analyses for mutual benefit.
Privacy-Preserving
Protect patient privacy. In federation, patient data never leave the institution. Models are trained and analytical packages are run in a distributed architecture with privacy-enhancing technologies, all while preserving local data autonomy.
Robust
Run robust analytics and train AI models on larger, more diverse, longitudinal real-world clinical data that encompass rare disease and edge-case patient data.
About the Founder:
Sandy Polu, Ph.D.
Dr. Polu’s foray into AI began in 2020 in the midst of the pandemic, when AI seemed to offer so many possibilities to advance our understanding of COVID. As AI models proliferated in the preprint literature, a common theme emerged. There weren’t enough chest x-ray and lab data being shared to create models that could generalize across patient populations and countries.
Access to healthcare data is the primary rate-limiting factor for AI-enabled breakthroughs. After leading business development and partnership efforts in federated analytics and federated learning, Dr. Polu realized that we, as a society and as innovators, need federated health data.
Before embarking on BLOOM, Dr. Polu was a Specialist Leader at Deloitte, leading FDA projects and business development at the intersection of regulatory science, AI, and data management and governance.
Her thought leadership includes presentations to FDA’s CDRH and CDER:
-Addressing the Multi-Use Nature of Generative AI in Medical Devices
-Intelligent Postmarket Surveillance and Assessment: AI-Driven Detection and Classification of Quality-Related Signals for Generic Drugs
-Leveraging AI/ML for Data Integrity Analyses
Dr. Polu previously served as a diplomat at US Embassy Rome and is an alumna of Stanford University and Harvard University. She is active on the FDA Pathways Committee of Women’s Health Advocates.