深度学习:塑造未来的医学。

Molecular & cellular oncology Pub Date : 2020-02-19 eCollection Date: 2020-01-01 DOI:10.1080/23723556.2020.1723462
Konstantinos Vougas, Spyridon Almpanis, Vassilis Gorgoulis
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引用次数: 2

摘要

预测对治疗的反应是医学上的一个主要挑战。机器学习算法是帮助实现这一目标的有前途的工具。其中,深度神经网络正在成为跨多种数据类型查询能力最强的技术。它们的进一步发展将导致复杂的知识提取,塑造未来的医学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deep learning: shaping the medicine of tomorrow.

Predicting response to therapy is a major challenge in medicine. Machine learning algorithms are promising tools for assisting this aim. Amongst them, Deep Neural Networks are emerging as the most capable of interrogating across multiple data types. Their further development will lead to sophisticated knowledge extraction, shaping the medicine of tomorrow.

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