Event JSON
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"created_at": 1742199013,
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"https://www.aletihad.ae/news/%D8%AB%D9%82%D8%A7%D9%81%D8%A9/4559877/%D8%B9%D9%84%D9%85%D8%A7%D8%A1-%D9%8A%D8%B7%D9%88%D8%B1%D9%88%D9%86-%D8%A3%D8%AF%D8%A7%D8%A9-%D8%B0%D9%83%D8%A7%D8%A1-%D8%A7%D8%B5%D8%B7%D9%86%D8%A7%D8%B9%D9%8A-%D9%84%D9%84%D8%AA%D9%86%D8%A8%D8%A4-%D8%A8%D8%AA%D9%83%D8%B1%D8%A7%D8%B1-%D8%A7%D9%84%D8%A5%D8%B5%D8%A7%D8%A8%D8%A9-%D8%A8%D8%B3%D8%B1%D8%B7%D8%A7%D9%86"
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"Scientists develop an artificial intelligence tool to predict the recurrence of liver cancer"
],
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"1742198940"
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"https://media.alittihad.ae/store/archive/image/2025/3/17/1a5bcf38-d460-4568-95f7-1a742886d8ca.png?width=1000"
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"The study, led by Dr. Sun Chen from the University of Chinese Sciences and Technologies, has developed a system called 'Times' that assesses the spatial distribution of immune cells within the tumor microenvironment to predict the likelihood of recurrence. The system is the first in the world to integrate spatial immune data and has shown that the spatial organization of immune cells, not just their quantity, determines clinical outcomes. The researchers have made the system available online, allowing users worldwide to upload histopathology images to assess risks in real-time."
]
],
"content": "nostr:nprofile1qy3hwumn8ghj7un9d3shjtt5v4ehgmn9wshxkwrn9ekxz7t9wgejumn9waesqgzk9zf0q9szvtykuppj2hmjxek9x9whq03l37evcwl2u9evwnfn2ypalfss\nhttps://media.alittihad.ae/store/archive/image/2025/3/17/1a5bcf38-d460-4568-95f7-1a742886d8ca.png?width=1000\nA Chinese research team has developed an artificial intelligence tool capable of predicting the risk of liver cancer recurrence with an accuracy of up to 82.2%, according to a recent study published in the journal Nature. Liver cancer is the third leading cause of cancer-related deaths worldwide, with a recurrence rate of 70% after surgery. Accurate prediction of recurrence has been a significant challenge. The Chinese Xinhua News Agency reported on Monday that researchers from the Chinese Academy of Sciences, led by Sun Cheng, have developed a system called \"TIMES\", which assesses the spatial patterns of immune cells within the tumor microenvironment to evaluate the likelihood of recurrence. This is the first AI-based system in the world to predict liver cancer recurrence by integrating spatial immune data. The study showed that the spatial distribution of immune cells, not just their quantity, determines clinical outcomes. By combining spatial transcriptomics, proteinomics, and multi-spectral tissue chemistry with machine learning-based spatial analysis, the team developed a new method to evaluate the tumor microenvironment. The system was trained using tissue samples from 61 liver cancer patients. The researchers have made a free online version of the TIMES system available, allowing users worldwide to upload histopathology images to evaluate risks in real-time. Sun explained that the team aims to provide a revolutionary tool to support individualized treatment decisions, especially in resource-constrained settings, and are currently collaborating with industry partners to integrate clinical applications.\nhttps://www.aletihad.ae/news/%D8%AB%D9%82%D8%A7%D9%81%D8%A9/4559877/%D8%B9%D9%84%D9%85%D8%A7%D8%A1-%D9%8A%D8%B7%D9%88%D8%B1%D9%88%D9%86-%D8%A3%D8%AF%D8%A7%D8%A9-%D8%B0%D9%83%D8%A7%D8%A1-%D8%A7%D8%B5%D8%B7%D9%86%D8%A7%D8%B9%D9%8A-%D9%84%D9%84%D8%AA%D9%86%D8%A8%D8%A4-%D8%A8%D8%AA%D9%83%D8%B1%D8%A7%D8%B1-%D8%A7%D9%84%D8%A5%D8%B5%D8%A7%D8%A8%D8%A9-%D8%A8%D8%B3%D8%B1%D8%B7%D8%A7%D9%86",
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}
