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     <h3 style="margin: 0; font-size: 20px;">Evaluation of mouse laryngeal inflammation upon low and high dose cigarette smoke exposures via NanoString analysis</h3>
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-      This study, conducted as part of my professional work at Stanford University, examined the effects of low- and high-dose cigarette smoke exposures on murine larynges. The research employed bioinformatics methodologies, including differential gene expression analysis, functional enrichment, and network analysis, utilizing R programming and related tools. The NanoString nCounter inflammation panel was used to comprehensively evaluate inflammation and immune responses in the context of these exposures.
+      This study, conducted as part of my professional work at Stanford University, examined the effects of low- and high-dose cigarette smoke exposures on murine larynges. The research employed bioinformatics methodologies, including differential gene expression analysis, functional enrichment, and network analysis, utilizing R programming and related tools. The <strong>NanoString nCounter inflammation panel</strong> was used to comprehensively evaluate inflammation and immune responses in the context of these exposures.
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     <h3 style="margin: 0; font-size: 20px;">Long-term IQOS Exposure Modulates Apoptosis and Cytokine Signaling Pathways: Genomic Insights from Mouse Lungs</h3>
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-      This project examined the genomic effects of IQOS exposure on mouse lungs by utilizing a public microarray dataset obtained from the NCBI Gene Expression Omnibus (GEO). This work was conducted as part of the BMI 6313: Scientific Writing in Healthcare course at UTHealth. The project specifically included exploratory data analysis (EDA), differential expression analysis, as well as functional enrichment and network analysis.
+      This project examined the genomic effects of IQOS exposure on mouse lungs by utilizing a <strong>public microarray dataset</strong> obtained from the NCBI Gene Expression Omnibus (GEO). This work was conducted as part of the BMI 6313: Scientific Writing in Healthcare course at UTHealth. The project specifically included exploratory data analysis (EDA), differential expression analysis, as well as functional enrichment and network analysis.
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       <a href="https://github.com/MeenaEaswaran/BMI-6313-Scientific-Writing-in-Healthcare" target="_blank" style="background-color: #0173B2; color: #fff; padding: 8px 16px; text-decoration: none; border-radius: 4px;">GitHub Repository</a>
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     <h3 style="margin: 0; font-size: 20px;">Microarray-based Transcriptomic Analysis and Signature Extraction in Mice Lungs following 4 and 6 months of Cigarette Smoke (CS) Exposure</h3>
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-      This project, part of the BMI 5333: Systems Medicine: Principles and Practice course at UTHealth, aimed to explore the transcriptomic changes in gene expression in mouse lung tissue caused by prolonged exposure to CS. The study utilized differential expression analysis, pathway enrichment analysis, network analysis, and hub gene identification, leveraging a publicly available microarray dataset from NCBI GEO.
+      This project, part of the BMI 5333: Systems Medicine: Principles and Practice course at UTHealth, aimed to explore the transcriptomic changes in gene expression in mouse lung tissue caused by prolonged exposure to CS. The study utilized differential expression analysis, pathway enrichment analysis, network analysis, and hub gene identification, leveraging a <strong>publicly available microarray dataset</strong> from NCBI GEO.
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       <a href="https://github.com/MeenaEaswaran/BMI-5333-Systems-Medicine-Principles-and-Practice" target="_blank" style="background-color: #0173B2; color: #fff; padding: 8px 16px; text-decoration: none; border-radius: 4px;">GitHub Repository</a>
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     <h3 style="margin: 0; font-size: 20px;">Differential Expression Analysis: Responders vs. Non-Responders to Letrozole Treatment</h3>
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-      This project focused on analyzing gene expression differences between two phenotypes—responders and non-responders to Letrozole treatment in breast cancer tumors, using a publicly available microarray dataset. The project was conducted as part of the BMI 5331: Foundations of Pharmacogenomics course at UTHealth.
+      This project focused on analyzing gene expression differences between two phenotypes—responders and non-responders to Letrozole treatment in breast cancer tumors, using a <strong>publicly available microarray dataset</strong>. The project was conducted as part of the BMI 5331: Foundations of Pharmacogenomics course at UTHealth.
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       <a href="https://github.com/MeenaEaswaran/BMI-5331-Foundations-of-Pharmacogenomics/tree/main/Differential_Expression_Letrozole_Responders_vs_Nonresponders" target="_blank" style="background-color: #0173B2; color: #fff; padding: 8px 16px; text-decoration: none; border-radius: 4px;">GitHub Repository</a>
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     <h3 style="margin: 0; font-size: 20px;">Transcriptomic Analysis of Respiratory Epithelial Cellular Responses Following Cigarette Smoke (CS) Exposures</h3>
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-      In the context of the UTHealth BMI 5332: Statistical Analysis of Genomic Data, this class project focused on examining the transcriptomic profiles of air-liquid interface (ALI) cultures exposed to CS from various human and mouse airway cell types, utilizing bulk RNA sequencing datasets sourced from online databases.
+      In the context of the UTHealth BMI 5332: Statistical Analysis of Genomic Data, this class project focused on examining the transcriptomic profiles of air-liquid interface (ALI) cultures exposed to CS from various human and mouse airway cell types, utilizing <strong>bulk RNA sequencing datasets</strong> sourced from online databases.
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       <a href="https://github.com/MeenaEaswaran/BMI-5332-Statistical-Analysis-of-Genomic-Data" target="_blank" style="background-color: #0173B2; color: #fff; padding: 8px 16px; text-decoration: none; border-radius: 4px;">GitHub Repository</a>
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     <h3 style="margin: 0; font-size: 20px;">Identification of Immunomodulatory Hub Genes and Cell Signatures in Mouse Lungs Exposed to Cigarette Smoke</h3>
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-      As part of the Foundations of Biomedical Information Sciences II course at UTHealth, this project aimed to examine the temporal variations in immunomodulatory gene expression within mouse lungs that were subjected to varying durations of cigarette smoke exposure. The investigation utilized a publicly accessible bulk RNA sequencing dataset sourced from the NCBI GEO.
+      As part of the Foundations of Biomedical Information Sciences II course at UTHealth, this project aimed to examine the temporal variations in immunomodulatory gene expression within mouse lungs that were subjected to varying durations of cigarette smoke exposure. The investigation utilized a <strong></strong>publicly accessible bulk RNA sequencing dataset</strong> sourced from the NCBI GEO.
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       <a href="https://github.com/MeenaEaswaran/BMI-5311-Foundations-of-Biomedical-Information-Sciences-II" target="_blank" style="background-color: #0173B2; color: #fff; padding: 8px 16px; text-decoration: none; border-radius: 4px;">GitHub Repository</a>