Artificial Intelligence

Creating a healthier Singapore with digital solutions: Q&A with Glenn Neo

In this insightful interview, Karen Yu, Country Manager for Roche Diagnostics Singapore, sits down with Glenn Neo, Director of Innovation and Capabilities Enablement (ICE) at Synapxe, the national HealthTech agency of Singapore, for a wide-ranging conversation. Together, they explore the vital role of technology in enhancing healthcare services in Singapore, the potential of generative AI, […]

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AI-powered precision medicine in haematology: insights from South Korea

AI-powered precision medicine in haematology: insights from South Korea

AI-driven precision haematology tailors treatments for blood disorders in healthcare, employing data-driven insights and predictive analytics to aid in diagnosis, treatment, and monitoring. In this talk at RED 2023, Dr Myungshin Kim, a Professor in the Department of Lab Medicine at Seoul St Mary’s Hospital in South Korea, shares her ongoing research in this area and

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In Canada, AI helps allocate COVID-19 tests accurately and fairly

In Canada, AI helps allocate COVID-19 tests accurately and fairly

At any time, managing a supply chain to ensure that clinical laboratories have ready access to the tests, reagents, and consumables they need to meet diagnostic demand can be a challenge — and that’s a challenge shared by healthcare systems, manufacturing companies, distributors, and even individual labs. But in a pandemic, that challenge becomes a

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AI in the clinical lab: what are the regulatory implications?

AI regulation in the clinical lab: what are the regulatory implications?

Since 2018, FDA approvals for artificial intelligence (AI)-based medical devices have been on the rise. This includes a growing array of AI algorithms that may be used in clinical labs or leverage clinical lab data. AI attracts regulatory scrutiny due to concerns around transparency and explainability associated with the technology. However, not every healthcare product

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How digital health regulations can impact clinical labs

How digital health regulations can impact clinical labs

Rapid advances in digital health, particularly in the last decade, are revolutionising the management of health conditions. From wearable gadgets to artificial intelligence (AI)-based software, end users span from patients to clinical lab personnel. As with all medical products, digital health solutions with a medical purpose are subject to regulation. Existing regulatory frameworks initially developed

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Respiree takes on heart failure with remote monitoring platform

Respiree takes on heart failure with remote monitoring platform

Post-COVID19 is expected to see a paradigm shift in care – specifically towards the use of digital patient monitoring. Some hospitals are shifting towards home-based models while others are adopting care in hospitals using sensors and artificial intelligence. Despite this, digital patient monitoring still sees several limitations. Mobile interfaces and use of manual synchronisations limit

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Singapore CTO explores real-time data for precision medicine and health AI

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As Group Chief Technology Officer at the National University Health System (NUHS) in Singapore, Prof Ngiam Kee Yuan spends a lot of time thinking about how to apply artificial intelligence and machine learning approaches to healthcare data. In this recent talk at RED2020, Prof Ngiam argues that modern computing architectures and live-stream data are essential for realising

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China viewpoint: data mining, AI and the “intelligent lab”

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We often hear that clinical lab data can be aggregated and analysed to improve patient care and healthcare systems management. In this recent interview with Roche Diagnostics, Prof Yi Zhang, Director of the Clinical Laboratory at Qilu Hospital in Shangdong University, discusses some of the specific opportunities. Prof Zhang’s lab, which is affiliated with one

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Embracing full automation in the lab-to-lab business

Embracing full automation in the lab-to-lab business

At DASA, we had long ago acquired a lab-to-lab business that was run out of a hard-to-access town in central Brazil and in 2015, this gave us the impetus to push for full automation and centralisation of this business. With full automation and centralisation, we could then also restructure our logistical operations and standardise our testing processes for all our laboratory customers.

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