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Neurophet partners with US-based Alzheimer's network on imaging AI
South Korean company Neurophet has signed a memorandum of understanding with the Alzheimer's Network for Treatment and Diagnostics (ALZ-NET) in the United States to deploy AI imaging software for Alzheimer's monitoring across participating sites.
Based on a media release, the partnership will provide access to Neurophet's range of US Food and Drug Administration-cleared imaging analysis software to support the detection and monitoring of amyloid-related imaging abnormalities and guide treatment decisions.
The ALZ-NET, sponsored by the Alzheimer's Association and operated by the American College of Radiology, collects voluntary clinical and imaging data from patients receiving new Alzheimer's therapies to standardise care and build real-world evidence.
JLK bags 510(k) for non-contrast CT-based stroke AI
Another medical imaging AI company from South Korea, JLK, has announced receiving a US FDA 510(k) clearance for its non-contrast CT-based stroke analysis software, JLK-NCCT.
The software analyses non-contrast CT scans to detect intracerebral haemorrhage and identify suspected large-vessel occlusion, enabling earlier triage in emergency settings without requiring CT angiography.
The regulatory win followed multiple US FDA clearances for its stroke AI solutions last year, including software for subdural and intracerebral haemorrhage detection. JLK-NCCT has also been approved in Japan.
Zydus unveils AI-enabled CGM platform
Zydus Lifesciences in India has launched continuous glucose monitoring (CGM) devices with AI-powered analytics and integrated remote care capabilities.
According to a press release, the CGM system streams glucose readings to smartphones every three minutes without manual scanning. It features AI tools that analyse trends and flag events, and a clinician dashboard for remote monitoring via the GoodFlip app developed with Digicare Health Solutions.
The Diasens and GlucoLive devices are designed for diabetes, chronic kidney disease, and post-transplant patients who require continuous glycaemic surveillance and remote monitoring.
Thailand sets standards for medical AI safety
Thailand's Ministry of Higher Education, Science, Research, and Innovation have signed intergovernmental agreements to establish safety, quality, and international standards for AI-powered medical devices.
Based on a press release, the agreements focus on developing testing, verification, and regulatory infrastructure for AI software as medical devices, including performance and safety evaluation aligned with ISO/IEC 17025 standards and criteria for clinical accuracy and interoperability.
The initiative involves coordination with the National Science and Technology Development Agency, the Thai Food and Drug Administration, the National Electronics and Computer Technology Center, and clinical bodies.
