In a Perspective article published in MedComm – Future Medicine, a joint team from The Hong Kong University of Science and Technology and The Hong Kong University of Science and Technology (Guangzhou) explores how the emerging large language model DeepSeek-R1 may accelerate the transformation of healthcare. Highlighting its open-source, low-cost and interpretable capabilities, the study discusses how DeepSeek-R1 can enhance diagnostic efficiency, support clinical decision-making, and improve patient engagement across diverse medical settings.

The National Heart Centre Singapore (NHCS) announces a major advancement in cardiac care research with the implementation of SENSE (Singapore hEart lesioN analySEr), a nationwide AI initiative that reduces the time taken to analyse cardiac scans, from hours to minutes. This breakthrough system will transform the detection and prediction of coronary artery disease (CAD) through advanced machine learning technology.

The NHCS CardioVascular Systems Imaging and Artificial Intelligence (CVS.AI) Research Laboratory¹ is spearheading SENSE, a project co-led with A*STAR Institute for Infocomm Research (A*STAR I²R), which implements sophisticated computational capabilities and algorithms that can automatically interpret cardiac imaging scans and evaluate CAD risk within minutes – a process that traditionally requires two to four hours of specialist analysis.

SENSE will be deployed at three major healthcare institutions – NHCS, National University Hospital, and Tan Tock Seng Hospital – in the third quarter of 2025. This implementation represents a crucial step forward in addressing CAD, which currently accounts for nearly one-third of cardiovascular-related deaths in Singapore.

In the era of the digital economy, the Internet marketing course, a core component of the marketing curriculum in higher education, has become increasingly critical. However, the traditional teaching practices of the course have faced challenges, including insufficient depth in theoretical understanding, limited flexibility in translating theory into practice, inadequate alignment with contemporary trends, and a lack of adaptability to rapidly evolving environments. To address these issues, the teaching team at Wuhan University redesigned the course across five dimensions, including depth, rigor, intensity, breadth, and resilience. Leveraging a “four-in-one” teaching resource system, the course adopted an innovative teaching methodology grounded in the motivation, opportunity, and ability (MOA) framework. This method stimulated students’ intrinsic learning motivation, fostered collaborative creativity, and promoted mutual growth. It empowers students to develop self-management capabilities and establishes a student-centered learning paradigm characterized by shared responsibility, co-creation, and collective ownership. The teaching model ultimately seeks to cultivate high-quality and interdisciplinary talents in online marketing who are equipped with the entrepreneurial, innovative, and creative competencies necessary to meet the demands of the digital economy.