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  • A thousand and one tumors: the promise of AI for cancer biology
    Breakthroughs in AI and multimodal genomics are unlocking the ability to study the tumor microenvironment We explore promising machine learning techniques to integrate and interpret high
  • New AI tool can diagnose cancer, guide treatment, predict . . .
    The new AI system, described Wednesday in Nature, goes a step beyond many current AI approaches to cancer diagnosis, the researchers said Current AI systems are typically trained to perform specific tasks — such as detecting cancer presence or predicting a tumor’s genetic profile — and they tend to work only in a handful of cancer types
  • Artificial intelligence-powered precision: Unveiling the . . .
    The advent of individualized tumor therapy, based on the in-depth analysis of the TME, represents a revolutionary transformation in oncology Artificial intelligence (AI) provides unparalleled capabilities to analyze and decipher the complexities of the TME through multi-omics integration, spatial modeling, and predictive analytics
  • These 5 Companies Enable Precision Oncology Using AI
    Evaxion Biotech (NASDAQ: EVAX) is a public clinical-stage biotechnology company, headquartered in Copenhagen, Denmark, that specializes in developing AI-powered immunotherapies for the treatment of cancer, bacterial diseases, and viral infections Evaxion utilizes the AI-Immunology™ platform, an advanced AI technology, to transform vaccine
  • Artificial intelligence model analyzes tumor images . . . - Cancer
    To this end, he partnered with Danh-Tai Hoang, Ph D , at Australian National University, who trained at NIH, to develop a machine-learning algorithm that could analyze images of tumors — currently used in standard pathology labs for tumor diagnosis — to predict gene expression (activity) based solely on the physical appearance of the tumor
  • NIH researchers develop AI tool with potential to more . . .
    In addition, the AI model successfully predicted the development of resistance in published data from 24 patients treated with targeted therapies for non-small cell lung cancer The researchers cautioned that the accuracy of this technique will improve if single-cell RNA sequencing data become more widely available





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