AstraZeneca has announced $15 billion investment in China through 2030 to expand medicines manufacturing and R
China-based Simcere Pharmaceutical Group and Germany-headquartered Boehringer Ingelheim have announced a licen
MS Pharma Group, a leading regional pharmaceutical company in the Middle East and North Africa (MENA) region,
South Korea-based SK bioscience has announced that it is advancing the development of a Zaire ebolavirus vacci
US-based startup Xellar Biosystems, a globally leading innovator in next-generation artificial intelligen
Researchers from the Department of Bio and Brain Engineering at Korea Advanced Institute of Science and Techno
Researchers have opened a ‘window to the brain’ with a new diagnostic device that can tell how dea
SBC Medical Group Holdings Incorporated, a global provider of comprehensive consulting and management services
WuXi Biologics, a global leading Contract Research, Development and Manufacturing Organization (CRDMO), and Ha
GCCL, a leading South Korea-based provider of clinical trial sample analysis, and US-based OPIS, a global full
Cancer Diagnosis, Accelerated by AI
Cancer remains a leading cause of death worldwide, with Asia bearing a disproportionate burden. In 2020, the region accounted for nearly half of global cancer cases and over 58 per cent of cancer-related deaths. Lung, breast, and colorectal cancers were the most commonly diagnosed. Artificial intelligence (AI) has shown particular promise in early detection, where timely diagnosis can significantly improve outcomes. Today, AI supports cancer diagnosis across medical imaging, digital pathology, and genomic analysis, helping clinicians review scans, analyse tissue samples, and interpret complex data more efficiently. Studies show that AI can detect suspicious findings earlier than routine clinical review in some cases. In China, systems such as Alibaba’s DAMO GRAPE and Huawei’s RuiPath have demonstrated high diagnostic accuracy and are already deployed in clinical settings. Beyond detection, machine-learning models are increasingly used to predict treatment effectiveness and patient outcomes. As World Cancer Day is observed on February 4, attention is turning to whether the rapid deployment of AI tools across the Asia-Pacific region reflects genuine clinical impact or continued technological hype.
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