<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Biomedical | MacsLAB</title><link>https://jbnu.macs.or.kr/en/tag/biomedical/</link><atom:link href="https://jbnu.macs.or.kr/en/tag/biomedical/index.xml" rel="self" type="application/rss+xml"/><description>Biomedical</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 11 May 2020 00:00:00 +0000</lastBuildDate><image><url>https://jbnu.macs.or.kr/media/icon_hu006eacee63deb1d8999057a3cbfdb748_78083_512x512_fill_lanczos_center_3.png</url><title>Biomedical</title><link>https://jbnu.macs.or.kr/en/tag/biomedical/</link></image><item><title>Fully-automatic Deep Learning-based Analysis for Determination of the Invasiveness of Breast Cancer Cells in an Acoustic Trap</title><link>https://jbnu.macs.or.kr/en/publication/0002-fully-automatic-deep-learning-based-analysis-for-determination-of-the-invasiveness-of-breast-cancer-cells-in-an-acoustic-trap/</link><pubDate>Mon, 11 May 2020 00:00:00 +0000</pubDate><guid>https://jbnu.macs.or.kr/en/publication/0002-fully-automatic-deep-learning-based-analysis-for-determination-of-the-invasiveness-of-breast-cancer-cells-in-an-acoustic-trap/</guid><description/></item></channel></rss>