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Alibaba's AI model, DAMO PANDA, has recently received Breakthrough Device Designation from the U.S. Food and Drug Administration (FDA). This achievement marks a significant breakthrough in early pancreatic cancer screening, offering new possibilities for early diagnosis. DAMO PANDA, developed by Alibaba's DAMO Academy, is an AI model focused on pancreatic cancer screening. Its primary function is to analyze plain CT images and accurately identify subtle lesions that are difficult for the human eye to detect.

Alibaba's AI model, DAMO PANDA, has been officially designated a breakthrough medical device by the U.S. Food and Drug Administration (FDA). This certification marks a significant breakthrough for Alibaba in the field of AI-powered healthcare and represents the first time a leading Chinese tech company has received this prestigious recognition. DAMO PANDA, developed by Alibaba's DAMO Academy, is an AI model designed for pancreatic cancer screening. It aims to accurately identify subtle lesions in CT images, aiding in early detection of the disease.

A medical team at Ningbo University Affiliated People's Hospital recently used artificial intelligence to successfully detect early-stage pancreatic cancer in a seemingly routine case. 65-year-old Mr. Qiu visited the hospital due to dizziness for three consecutive days. While routine examinations revealed no abnormalities, the AI system, through in-depth analysis of his imaging data, issued a timely alert indicating a potential risk of pancreatic cancer. This case utilized a "Plain CT Scan + AI" approach, a cutting-edge technology that...

The University of Science and Technology of China (USTC) recently announced a significant breakthrough. Professor Sun Cheng's research group and collaborators have successfully developed the "TIMES" scoring system for predicting liver cancer recurrence, and have translated it into a publicly available, free AI diagnostic tool. The findings were published in the international academic journal Nature on March 13th, Beijing time. Liver cancer, the third leading cause of cancer-related deaths globally, has a recurrence rate of up to 70% after surgical resection. Accurate prediction of liver cancer recurrence has long been a medical challenge. The spatial distribution of immune cells in the tumor microenvironment significantly impacts patient prognosis, but previously...

In today’s digital age, the application of artificial intelligence has expanded across various fields. Recent studies show that AI-generated social media influencers can effectively disseminate cancer prevention information at a low cost, becoming a new option for public health communication. Cancer has been one of the leading causes of death worldwide. Despite advances in treatment methods, prevention remains the most effective way to reduce the cancer burden. According to statistics, over two-thirds of early cancer deaths in 2020 were preventable. However, most existing digital resources are largely unknown to the target audience, especially among younger individuals.

Recently, at the annual meeting of the American College of Radiology, the AI company DeepHealth released a new research finding on breast cancer screening, demonstrating significant effects of artificial intelligence in this area. According to the study results, the breast cancer detection rate for women undergoing AI-enhanced scans is 21% higher than for those who did not use AI. The study involved a sample size of 747,604 women and covered one year of breast cancer screening data. Image source note: Image generated by AI, image licensed through Midjourney.

On the front lines of the fight against cancer, scientists at Harvard Medical School have exciting news. They have recently launched a super smart AI model called CHIEF that can accurately diagnose various types of cancer, predict patient outcomes, and even recommend treatment plans. This AI acts like an all-in-one medical assistant, providing clear guidance to doctors in the complex realm of cancer diagnosis. CHIEF is a specially trained AI system that is distinctly different from traditional AIs that can only perform single tasks.

Researchers at Harvard Medical School have developed an AI model named CHIEF, which is capable of handling various cancer diagnostic processes, providing more accurate diagnoses and assessments of different cancers, predicting patient survival rates, and offering treatment recommendations. Compared to existing AI systems, CHIEF represents a significant breakthrough in flexibility and multifunctionality, being able to perform multiple tasks and tested on 19 types of cancer. By analyzing large amounts of image data, including unmarked images and complete slice images, CHIEF excels in cancer detection and tumor origin identification.

Noetik, a biotechnology company focused on artificial intelligence, announced that it has successfully completed a $40 million Series A funding round. The round was led by Polaris Partners, with participation from new investors including Khosla Ventures, Wittington Ventures, Breakout Ventures, as well as existing investors DCVC, Zetta Venture Partners, and Catalio Capital Management.

The Medical Faculty and Hospital of the University of Cologne have jointly developed an AI-based digital pathology platform aimed at accelerating and enhancing the efficiency and accuracy of automated analysis of lung cancer tissue slices. This platform uses artificial intelligence technology to analyze pathological slices, which not only speeds up the diagnostic process but also identifies changes related to specific molecules, providing patients with personalized treatment options. This technological innovation revolutionizes traditional pathology examination methods by digitizing slices, allowing pathologists to analyze them on computer screens, improving efficiency and laying the groundwork for the deep application of artificial intelligence.

During the themed event on 'The Deep Empowerment of AI Technology in Primary and Secondary Education', Li Ying, CEO of Baidu Xiao Du Technology, shared the latest developments in Xiao Du's education business. As of July 2024, the Xiao Du Learning Machine has surpassed 2 million cumulative users, with more than 50% being daily active users, indicating its popularity. The usage rate of AI teachers has increased by 3.5 times compared to traditional methods, with users spending an additional 25% time on the learning machine, totaling 114 minutes per day. Notably, during the immersive interactive preview section for Chinese language, the average usage time reached 22 minutes.