Dynex offers cost-effective, accessible, and scalable QaaS technology. Credit: TippaPatt/Shutterstock.

Quantum-as-a-Service (QaaS) technology company Dynex has partnered with InCor at the University of São Paulo (USP) Medical School in Brazil for large language models (LLMs) deployment in healthcare.

This collaboration aims to enhance precision medicine and streamline clinical workflows using neuromorphic quantum computing.

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It is also designed to enhance patient outcomes while reducing the consumption of energy along with operational costs.

With four million tests and diagnoses and more than 13 million multidisciplinary care consultations, InCor is set to utilise Dynex’s technology to train AI models on extensive healthcare datasets.

InCor genetics and molecular medicine professor Jose Eduardo Krieger said: “Dynex’s innovation will enable the training of advanced AI models developed by InCor, enhancing efficiency, measurability and unlocking numerous additional possibilities.”

Dynex stands out in the healthcare industry with its accessible, cost-effective, and scalable QaaS technology. The company’s neuromorphic quantum computing platform emulates quantum behaviours with scalability of up to one million qubits.

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Such an architecture is suitable for complex healthcare applications, including machine learning and optimisation offering solutions that are both efficient and cost-effective.

Dynex co-founder Daniela Herrmann said: “Our collaboration with InCor demonstrates how quantum-inspired technologies can address critical challenges in healthcare.

“Neuromorphic quantum computing offers transformative possibilities for advancing precision medicine and improving clinical workflows.”

Part of the Hospital das Clínicas, InCor is affiliated with USP’s faculty of medicine. It focuses on pulmonology, cardiology, cardiac and thoracic surgeries.

Financial support for the institute is provided by private non-profit organisation Zerbini Foundation.