Wilmington, Del. — Amalgam Rx Inc. has received the “Overall Large Language Model of the Year” award in the 2026 AI Breakthrough Awards for Chiron, its proprietary foundation model for predictive patient intelligence.
The annual awards program recognizes companies, technologies and products across the global artificial intelligence market. Organizers said this year’s program received more than 5,000 nominations from companies in more than 20 countries.
Chiron is an autoregressive transformer trained on millions of longitudinal, de-identified patient records. The model is designed to predict a patient’s next medical event across multiple therapeutic areas.
Unlike disease-specific models, Chiron analyzes the patient journey as a unified sequence of clinical events, including diagnoses, medications, referrals, comorbidities and demographic information. Amalgam said this approach allows a single model to identify early signals associated with multiple conditions.
“Most healthcare AI point solutions offer disease-specific models and narrowly scoped decision support tools, addressing only a fraction of the clinical picture. Built on one condition at a time, they require separate data pipelines, training infrastructure, and validation cycles, resulting in a fragmented ecosystem where critical longitudinal patterns across conditions remain invisible,” said Steve Johansson, managing director, AI Breakthrough. “Chiron from Amalgam combines innovative foundation-model architecture, large-scale longitudinal data, and deep clinical integration, transforming healthcare AI into a unified system for predictive patient intelligence.”
In sleep apnea applications, Amalgam said Chiron nearly doubled diagnostic efficiency compared with traditional tools. The model identified the same number of high-risk patients while reducing unnecessary diagnostic follow-ups by nearly half, according to the company.
Chiron is designed to be integrated into electronic health record workflows, allowing predictions to be delivered at the point of care and refined using real-world feedback. Amalgam’s partners use the system to identify patients for therapies and clinical trials and to predict adherence risks before treatment failure occurs.
“Healthcare AI has been fragmented for too long; one model per condition, one data pipeline per disease, and critical longitudinal patterns falling through the cracks,” said Ryan Sysko, Chief Executive Officer of Amalgam Rx. “We built our model to change that. By learning across the entire patient journey, it gives providers a comprehensive view of risk they’ve never had before and opens a wider window for intervention.”
“What distinguishes Chiron is not just the architecture, but the combination of foundation-model design, large-scale longitudinal data, and deep clinical integration that makes it production-ready,” said Bharath Sudharsan, Chief Data Scientist and Head of AI at Amalgam. “Training on millions of real patient records across therapeutic areas allows us to capture complex temporal relationships that rules-based systems and shallow machine learning simply cannot see. The result is a model that earns trust at the point of care, continuously improving through real-world feedback at a scale no academic or pilot-phase solution can match.”
Azizi A. Seixas, interim chair of the Department of Informatics and Health Data Science at the University of Miami Miller School of Medicine and founder and director of The Media and Innovation Lab, said the technology could help integrate predictive intelligence into clinical workflows.
“AI has the potential to dramatically enhance the way we diagnose and care for patients. Our focus is on the strategic implementation and deployment of this platform—embedding predictive intelligence directly into the EHR workflow to accelerate the treatment journey and deliver better outcomes,” said Azizi A. Seixas, Ph.D., Interim Chair of the Department of Informatics and Health Data Science at the University of Miami Miller School of Medicine and Founder/Director of The Media and Innovation Lab (The MIL). “This initiative directly aligns with The MIL’s vision to pioneer the next generation of healthcare, where tools like this serve as the foundation for an advanced medical AI brain and digital twins for providers. By leading the real-world validation and roll-out of these technologies, we are closing the gap between industry innovation and clinical impact.”
The recognition follows Amalgam’s 2024 AI Breakthrough Award for Best Large Language Model Application.
