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<StaffProfile ID="x34477" Name="Bidii Ngala" IsComponent="true" Changed="20241211T18:32:00" Created="20241211T18:07:01" Published="20260306T01:11:52" SiteBaseUrl="" Locale="" XPowerPath="/Content Store/Site/Home/School of Medicine/Academics/Departments/Basic Science Departments/Pathology/Research/View All Labs/Godwin Laboratory/Lab Members/godwin lab members/Bidii Ngala" Expanded="20260306T22:12:34">
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  <Title type="string" UID="027b2eb407e655e7bb42bd6776f0e5e3" label="" readonly="false" hidden="false" required="false" indexable="false" openByDefault="false">Postdoctoral Fellow</Title><Title type="string" UID="96694c0c15d4dce4d4b3959751b867df" label="" readonly="false" hidden="false" required="false" indexable="false" openByDefault="false">Department of Internal Medicine</Title>
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  <Copy type="xhtml" UID="fef4b1d37de04644a0ca39b59aa4a936" label="Copy" readonly="false" hidden="false" required="false" indexable="false" openByDefault="false" Height="" CIID="">&lt;p&gt;Ph.D. Dr. Sc. hum Molecular Medicine - Minor subjects (human genetics and diagnostic neuropathology) &amp;ndash; Heidelberg University, Germany 2021.&lt;/p&gt;
&lt;p&gt;Msc. Molecular Medicine - Institute of tropical medicine and infectious diseases- (JKUAT-Kenya) 2014&lt;/p&gt;
&lt;p&gt;Bsc. Medical microbiology - Jomo Kenyatta University (JKUAT-Kenya) 2011.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;My research focus on development and validation of small extracellular vesicles (sEVs) based detection systems for cancer early detection and disease monitoring. I use muti-omics approaches (transcriptomic, proteomics and epigenetics). Moreover, we employ Microarrays analysis of sEvs along with immunoassays, immunoprecipitation, RNAseq, qPCR and imaging to identify and prioritize candidate sEVs exo-proteins or miRNAs for the cancer fingerprint that can differentiate specific type of cancer. Furthermore, tumor microbiome and germline mutations associated with risk of familial cancer will be screened. I hope to identify EV associated genetic changes, pathways, methylome-patterns, novel mRNA/miRNA and proteins that have greatest stability and producibility to diagnose and precisely track disease burden with initial focus on ovarian cancer.&lt;/p&gt;</Copy>
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