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Alibaba DAMO Academy Collaborates with United Nations and Hospitals to Advance AI for Good Initiatives - Middle East Business News and Information
Alibaba DAMO Academy Collaborates with United Nations and Hospitals to Advance AI for Good Initiatives - Middle East Business News and Information

Mid East Info

time24-07-2025

  • Health
  • Mid East Info

Alibaba DAMO Academy Collaborates with United Nations and Hospitals to Advance AI for Good Initiatives - Middle East Business News and Information

Dubai, United Arab Emirates, July, 2025 – Alibaba DAMO Academy, the global research arm of Alibaba Group, has entered into a strategic collaboration with the International Telecommunication Union ITU, a specialized agency of the United Nations focused on information and communication technologies ICTs. The partnership aims to promote the use of artificial intelligence AI in addressing pressing global challenges, particularly in the fields of healthcare, climate change, and scientific discovery. Announced at the AI for Good Global Summit 2025, this collaboration will facilitate expert exchanges and knowledge-sharing mechanisms between the two organizations. It will also support initiatives of AI for Health, AI for Climate, and AI for Science through a series of joint activities, including online lectures and offline events. Additionally, both parties plan to explore cooperation in robotics and embodied intelligence, while deepening their work in AI and video technologies, contributing to global technological development, solution deployment, and standardization. As part of its broader commitment to advancing AI capacity building, Alibaba DAMO Academy has also joined the AI Skills Coalition, a global, open, trusted, and inclusive platform led by the United Nations. As a founding member, Alibaba DAMO Academy will support the Coalition's mission to empower governments, businesses, and organizations—particularly those in less developed countries—to harness AI for sustainable development and good governance. Advancing AI for Health in Singapore and Saudi Arabia: To advance AI for Health initiatives globally, Alibaba DAMO Academy has also announced a collaboration with NHG Health in Singapore to drive innovation in AI-powered medical research and clinical applications at Tan Tock Seng Hospital (TTSH), one of the country's largest multi-disciplinary hospitals. This partnership leverages the combined expertise of both organizations in medical AI technology and scientific research. The focus is on enhancing early screening for conditions such as pancreatic cancer, osteoporosis, sarcopenia, breast cancer, and kidney masses. Through joint research, development, and external validation, the collaboration aims to expand access to AI-driven early detection tools, ultimately supporting the advancement of precision medicine and enabling more timely and effective treatments. Additionally, Alibaba DAMO Academy will collaborate with Abdul Latif Jameel Health, the health division of the Saudi Arabia-based multinational enterprise Abdul Latif Jameel Group, to explore opportunities in AI-assisted diagnosis for cancers such as pancreatic, gastric, and esophageal cancer, chronic diseases like cardiovascular disease, osteoporosis, and fatty liver disease, as well as acute conditions including acute aortic syndromes and pulmonary embolism. This collaboration seeks to extend the benefits of medical AI to more people and regions by combining Alibaba DAMO Academy's cutting-edge technology products with Abdul Latif Jameel Health's extensive global network. Recognition of DAMO Academy's Innovation in AI for Good: Alibaba DAMO Academy's technological innovations have been acknowledged in the United Nation's AI for Good Innovate for Impact Interim Report 2025. Among its frontier AI solutions is Baguan AI Weather Forecasting , which generates specialized weather indicators for applications in power energy, agricultural meteorology, low-altitude weather forecasting, and regional renewable energy planning. Another notable achievement is the DAMO PANDA system (Pancreatic Cancer Detection with Artificial Intelligence), which uses deep learning to detect and classify pancreatic lesions with high accuracy using non-contrast CT scans. Recently, it developed DAMO GRAPE (Gastric Cancer Risk Assessment Procedure with Artificial Intelligence), a deep-learning framework that analyzes 3D non-contrast CT scans to detect and segment gastric cancer with high sensitivity and specificity. These innovations exemplify Alibaba DAMO Academy's commitment to leveraging AI for societal benefit and advancing the frontiers of science and healthcare globally. About Alibaba Cloud: Established in 2009, Alibaba Cloud is the digital technology and intelligence backbone of Alibaba Group. It offers a complete suite of cloud services to customers worldwide, including elastic computing, database, storage, network virtualization services, large-scale computing, security, big data analytics, machine learning and artificial intelligence (AI) services. Alibaba has been named the leading IaaS provider in Asia Pacific by revenue in U.S. dollars since 2018, according to Gartner. It has also maintained its position as one of the world's leading public cloud IaaS service providers since 2018, according to IDC.

Alibaba DAMO Academy partners to drive AI in health, climate
Alibaba DAMO Academy partners to drive AI in health, climate

Techday NZ

time24-07-2025

  • Health
  • Techday NZ

Alibaba DAMO Academy partners to drive AI in health, climate

Alibaba DAMO Academy, the research division of Alibaba Group, has announced a collaboration with the International Telecommunication Union to use artificial intelligence in addressing challenges related to healthcare, climate, and science. The partnership will involve joint activities under the initiatives AI for Health, AI for Climate, and AI for Science. These activities will comprise both online lectures and in-person events, and are designed to facilitate knowledge sharing and expert exchanges between the two organisations. Both parties will also explore potential cooperation in robotics and embodied intelligence, as well as deepen work in AI and video technologies with the goal of supporting global technological development, solution deployment, and standardisation. In addition to these activities, Alibaba DAMO Academy has become a founding member of the United Nations-led AI Skills Coalition, a platform aiming to help build AI skills and capacity in both developed and developing countries. Through this coalition, DAMO Academy will support efforts to empower governments, businesses, and organisations in less developed regions to fully leverage AI for sustainable development and good governance. Healthcare applications in Singapore and Saudi Arabia As part of its AI for Health efforts, Alibaba DAMO Academy is collaborating with NHG Health in Singapore to promote innovation in medical AI research and clinical applications at Tan Tock Seng Hospital. Tan Tock Seng Hospital is one of Singapore's largest multidisciplinary hospitals, and the joint initiative targets early screening for pancreatic cancer, osteoporosis, sarcopenia, breast cancer, and kidney masses. The collaboration is utilising the strengths of both DAMO Academy and NHG Health, focusing on research, development, and the external validation of AI-powered early detection tools. The aim is to broaden access to precision medicine and enable earlier diagnosis and treatment. DAMO Academy intends for this partnership to support more timely and effective healthcare interventions by integrating advanced AI technologies within clinical settings. Furthermore, in Saudi Arabia, DAMO Academy is working with Abdul Latif Jameel Health to examine opportunities for AI-assisted diagnosis of a range of acute and chronic medical conditions. This includes cancers such as pancreatic, gastric, and oesophageal cancers, chronic diseases like cardiovascular disease, osteoporosis, and fatty liver disease, as well as urgent conditions such as acute aortic syndromes and pulmonary embolism. "This partnership leverages the combined expertise of both organizations in medical AI technology and scientific research. The focus is on enhancing early screening for conditions such as pancreatic cancer, osteoporosis, sarcopenia, breast cancer, and kidney masses. Through joint research, development, and external validation, the collaboration aims to expand access to AI-driven early detection tools, ultimately supporting the advancement of precision medicine and enabling more timely and effective treatments." This joint work seeks to extend the benefits of medical AI systems to wider populations and regions, merging DAMO Academy's technology products with Abdul Latif Jameel Health's global resources. By doing so, it is expected that more people will gain access to advanced diagnostic tools designed to facilitate the early identification and management of various medical conditions. Featured innovations and recognition Several of DAMO Academy's AI systems have recently been recognised in the United Nations' AI for Good: Innovate for Impact Interim Report 2025. One of the featured projects is Baguan AI Weather Forecasting, which produces specialised weather indicators that can support power energy generation, agricultural meteorology, low-altitude forecasting, and renewable energy planning at the regional level. In healthcare, DAMO Academy's PANDA system (Pancreatic Cancer Detection with Artificial Intelligence) was highlighted for its ability to use deep learning to detect and categorise pancreatic lesions accurately using non-contrast CT scans. DAMO GRAPE (Gastric Cancer Risk Assessment Procedure with Artificial Intelligence), a framework for analysing three-dimensional CT scans to detect and segment gastric cancers, was also noted for its high sensitivity and specificity. According to DAMO Academy, these innovations are part of its ongoing commitment to support scientific advancement and societal benefit through artificial intelligence. By contributing technologies and expertise to joint international and regional initiatives, the organisation seeks to further the practical deployment of AI that can address health, environmental, and scientific challenges across diverse communities.

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