China Medical University Hospital Teams Up with Google Cloud to Enhance Cancer Care
China Medical University Hospital (CMUH) has partnered with Google Cloud to harness the power of generative artificial intelligence (AI) in providing advanced cancer care. Through this collaboration, CMUH aims to introduce assistive tools that will support doctors in delivering precision cancer treatment.
One of the key offerings of this partnership is the ability to generate cancer treatment plans and provide personalized treatment recommendations. Medical professionals can review, edit, and utilize these plans in their interactions with patients. By leveraging this cutting-edge technology, CMUH aims to establish itself as a leader in healthcare AI models, catering specifically to the Chinese-speaking market.
CMUH has also demonstrated its commitment to accurate medical information by signing a formal collaboration agreement with Google Cloud. As part of this agreement, CMUH will have access to MedLM, a healthcare-specific generative AI based on the large language model, Med-PaLM 2. With a score of 85% on the MedQA-USMLE (United States Medical Licensing Examination), MedLM has proven to be comparable to licensed doctors. It has become the cornerstone of CMUH’s AI-assisted Physician system, enabling disease diagnosis, treatment planning, patient education, and medical research.
Two genAI-based tools have already been developed to aid in cancer treatment. These tools assist in developing personalized treatment plans, providing patients with relevant treatment-related information, and answering their health education inquiries. Additionally, CMUH is utilizing Google’s AI accelerators, specifically the Tensor Processing Unit (TPU), to expedite the development of new drugs. This technology significantly reduces the computation time required for protein folding.
Professor Der-Yang Cho, the superintendent of CMUH, highlighted the immense potential of genAI in rapidly analyzing data for drug guidelines, disease gene sequencing, and medical records. The use of such technology greatly accelerates the discovery of novel treatments for challenging diseases and enables the development of comprehensive treatment plans for patients. By reducing workload, genAI also helps alleviate the mental burden on staff, allowing clinicians to spend more quality time with their patients.
MedLM further enhances CMUH’s Artificial Intelligence Center‘s goal of delivering AI-powered medical services. With over 20 applications, one notable example is the Intelligent Anti-Microbial System (i.A.M.S.), a platform that predicts the risk of sepsis, identifies drug-resistant strains, recommends optimal drug dosages, and automatically evaluates drug-drug interactions and allergy history.
Kathy Lee, the Managing Director of Google Cloud, North Asia, emphasized the role of AI in addressing data-driven challenges faced by the life sciences industry. She stated, “Life sciences problems are fundamentally data problems, and this is where AI can fully unleash its potential. Generative AI solutions from Google Cloud can help healthcare and life sciences organizations operate more efficiently and improve patient outcomes.”
CMUH’s partnership with Google Cloud underscores its commitment to leveraging advanced technology to enhance cancer care and revolutionize medical outcomes. With the support of generative AI tools, doctors at CMUH will be empowered to deliver precision treatment plans and personalized recommendations, ultimately benefiting patients in their fight against cancer.
Analyst comment
Positive
As an analyst, this partnership between China Medical University Hospital and Google Cloud is expected to have a positive impact on the market. The introduction of generative AI tools in cancer care will enhance treatment plans and provide personalized recommendations. This will establish CMUH as a leader in healthcare AI models, catering specifically to the Chinese-speaking market. The use of AI accelerators will also expedite the development of new drugs. Overall, this collaboration represents a significant advancement in healthcare technology and will benefit patients in their fight against cancer.
