<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Healthcare Technology on The Coders Blog</title><link>https://thecodersblog.com/tag/healthcare-technology/</link><description>Recent content in Healthcare Technology on The Coders Blog</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 09 May 2026 20:51:57 +0000</lastBuildDate><atom:link href="https://thecodersblog.com/tag/healthcare-technology/index.xml" rel="self" type="application/rss+xml"/><item><title>OncoAgent: Privacy-First AI for Oncology</title><link>https://thecodersblog.com/oncoagent-multi-agent-framework-for-privacy-preserving-oncology-ai-2026/</link><pubDate>Sat, 09 May 2026 20:51:57 +0000</pubDate><guid>https://thecodersblog.com/oncoagent-multi-agent-framework-for-privacy-preserving-oncology-ai-2026/</guid><description>&lt;p&gt;The battle against cancer is a constant race against time and an ever-evolving understanding of complex biological systems. In this arena, Artificial Intelligence holds immense promise, offering the potential to accelerate diagnosis, personalize treatment, and uncover novel therapeutic avenues. Yet, the very data that fuels these advancements – highly sensitive patient genomic profiles, clinical histories, and imaging scans – remains a significant barrier. The inherent privacy demands of healthcare data have historically slowed down AI innovation in oncology. Enter OncoAgent, a novel multi-agent framework designed not just to leverage AI for cancer treatment, but to do so with an unwavering commitment to patient privacy.&lt;/p&gt;</description></item></channel></rss>