Scaling data toward pan-cancer foundation models

IF 14.3 1区 医学 Q1 ONCOLOGY Trends in cancer Pub Date : 2024-09-11 DOI:10.1016/j.trecan.2024.08.008
Nadieh Khalili, Francesco Ciompi
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引用次数: 0

Abstract

Recent advances in artificial intelligence (AI) have revolutionized computational pathology (CPath), particularly through deep learning (DL) and neural networks (NNs). In a recent study, Vorontsov et al. introduced Virchow, a new foundation model (FM) for CPath, which has shown promising results in cancer detection and biomarker prediction.

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扩大数据规模,建立泛癌症基础模型
人工智能(AI)的最新进展给计算病理学(CPath)带来了革命性的变化,特别是通过深度学习(DL)和神经网络(NN)。在最近的一项研究中,Vorontsov 等人为 CPath 引入了一种新的基础模型 (FM)--Virchow,该模型在癌症检测和生物标记预测方面取得了令人鼓舞的成果。
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来源期刊
Trends in cancer
Trends in cancer Medicine-Oncology
CiteScore
28.50
自引率
0.50%
发文量
138
期刊介绍: Trends in Cancer, a part of the Trends review journals, delivers concise and engaging expert commentary on key research topics and cutting-edge advances in cancer discovery and medicine. Trends in Cancer serves as a unique platform for multidisciplinary information, fostering discussion and education for scientists, clinicians, policy makers, and patients & advocates.Covering various aspects, it presents opportunities, challenges, and impacts of basic, translational, and clinical findings, industry R&D, technology, innovation, ethics, and cancer policy and funding in an authoritative yet reader-friendly format.
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