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

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。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

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.