<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title>Bing: Projects Using Palm2 API Python</title><link>http://www.bing.com:80/search?q=Projects+Using+Palm2+API+Python</link><description>Search results</description><image><url>http://www.bing.com:80/s/a/rsslogo.gif</url><title>Projects Using Palm2 API Python</title><link>http://www.bing.com:80/search?q=Projects+Using+Palm2+API+Python</link></image><copyright>Copyright © 2026 Microsoft. All rights reserved. These XML results may not be used, reproduced or transmitted in any manner or for any purpose other than rendering Bing results within an RSS aggregator for your personal, non-commercial use. Any other use of these results requires express written permission from Microsoft Corporation. By accessing this web page or using these results in any manner whatsoever, you agree to be bound by the foregoing restrictions.</copyright><item><title>OUH - Computational Systems Medicine</title><link>https://www.ous-research.no/aittokallio/?k=aittokallio%2FProjects&amp;aid=23081</link><description>During cancer development, cancer cells grow into multiple genetically related sub-lineages that evolve in parallel and display heterogeneity at multiple levels. This project aims to trace, identify and isolate drug resistant sub-lineages of cancer cell line and PDX models using a cutting-edge DNA barcoding platform developed in the group. By utilizing CRISPR activation, sub-lineages of ...</description><pubDate>Sat, 22 Aug 2026 10:07:00 GMT</pubDate></item><item><title>OUH - Computational Systems Medicine</title><link>https://www.ous-research.no/aittokallio/</link><description>Tero Aittokallio Group leader Introducing the group's aims (video) Our group has expertise in integrating multi-omics profiling and clinical information from cancer patients using mathematical and statistical approaches such as machine learning and network modeling. The medical aim is to optimize treatment outcomes for individual patients using maximally predictive models and minimal biomarker ...</description><pubDate>Sun, 23 Aug 2026 11:39:00 GMT</pubDate></item><item><title>OUH - Computational Systems Medicine</title><link>https://www.ous-research.no/aittokallio/?k=aittokallio%2FProjects&amp;aid=20321</link><description>This multidisciplinary project develops, tests and implements novel practices of how to use artificial intelligence (AI) and machine learning (ML) models in translational and clinical studies. The modeling goal is to develop novel supervised learning approaches to select multi-omic features predictive of clinical outcomes for individual patients using efficient AI / ML models that maximize the ...</description><pubDate>Mon, 10 Aug 2026 21:41:00 GMT</pubDate></item></channel></rss>