Paige, a leader in next-gen AI technology, has unveiled Paige Alba™, a clinical-grade multimodal co-pilot designed to revolutionize personalized medicine and precision oncology. Powered by Paige’s Foundation Models, Alba delivers AI-driven patient insights in real-time, marking a significant step toward Artificial General Intelligence (AGI).
Alba integrates advanced computational pathology large vision models (LVMs) with conversational large language models (LLMs), providing a seamless, real-time experience for pathologists, oncologists, and clinical teams. This cohesive solution enhances diagnostics and clinical trials management, bringing together multiple AI-driven insights in one platform.
A standout feature of Alba is its ability to aggregate and summarize patient data from multiple sources, including Electronic Health Records (EHRs), Laboratory Information Systems (LIS), and Image Management Systems (IMS). By consolidating data, Alba reduces administrative burdens and allows pathologists to access comprehensive patient-specific summaries—including prior reports and radiology findings—within seconds, accelerating decision-making.
"Pathologists often lack the clinical context necessary for accurate diagnoses," said Dr. Juan Retamero, Medical VP at Paige. "Alba provides this context through its natural language processing and integration with other clinical systems, enhancing collaboration and resolving discrepancies between radiology and pathology."
Alba also leverages Paige’s AI portfolio, including Paige Omniscreen™, to analyze digital images, highlight areas suspicious for cancer, and support expert review. It consolidates clinical, pathological, and biomarker data, generating pathology reports that can be reviewed and approved using voice commands, improving diagnostic efficiency.
"Alba acts as a co-pilot, ensuring clinicians have timely, relevant information for complex decision-making," said Paige CEO Razik Yousfi.
Paige Alba™ is for research use only (RUO), not for use in diagnostic procedures.