Converging principles, diverging systems: the real challenge of global AI governance
AI governance success may hinge less on how many frameworks exist and more on how effectively they interoperate in real-world practice, writes Vishnu Narayan.
Independent intelligence on healthtech across Asia and the Middle East
AI governance success may hinge less on how many frameworks exist and more on how effectively they interoperate in real-world practice, writes Vishnu Narayan.
The initiative argues that increasing human wellbeing should be the guiding principle for AI research, with security as a baseline requirement. It also stresses that all countries should participate equally…
Deputy Minister of Health Nguyễn Tri Thức told the meeting that the ministry is developing technical standards for AI applications in healthcare.
Japan has set up a new body to coordinate nationwide whole-genome sequencing data collection and use, aiming for full operation by the end of the fiscal year.
AI in healthcare doesn't simply cut costs, writes Vishnu Narayan: it reorganises them. Value depends on governance, incentive alignment, and system readiness, not technology alone.
The approval positions AITRICS to capitalise on Indonesia's accelerating digital health agenda as the government pushes forward with its 2025–2029 Digital Health Transformation Strategy.
Daryush Ashjari, CTO and VP of Solutions Engineering, APJ at Nutanix unpacks how healthcare organisations need to fix their digital foundations to realise AI's promise in the sector.
HealthTechAsia’s Vishnu Narayan writes that digital health’s future depends less on tech itself, and more on the systems and capabilities built around it, bringing both challenge and opportunity.
The companies plan to conduct joint RWE research using clinical data and develop AI models through federated learning. a technique that trains algorithms without transferring raw data externally.