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35 changes: 0 additions & 35 deletions _data/citations.yaml
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term: Bino Varghese[Author]
plugin: pubmed.py
file: pubmed.yaml
- id: pubmed:33633145
title: Machine learning based predictors for COVID-19 disease severity.
authors:
- Dhruv Patel
- Vikram Kher
- Bhushan Desai
- Xiaomeng Lei
- Steven Cen
- Neha Nanda
- Ali Gholamrezanezhad
- Vinay Duddalwar
- Bino Varghese
- Assad A Oberai
publisher: Scientific reports
date: '2021-02-25'
link: https://www.ncbi.nlm.nih.gov/pubmed/33633145
term: Bino Varghese[Author]
plugin: pubmed.py
file: pubmed.yaml
- id: pubmed:33434374
title: Identification of robust and reproducible CT-texture metrics using a customized
3D-printed texture phantom.
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term: Bino Varghese[Author]
plugin: pubmed.py
file: pubmed.yaml
- id: pubmed:30506142
title: Juxtatumoral perinephric fat analysis in clear cell renal cell carcinoma.
authors:
- Tania S Gill
- Bino A Varghese
- Darryl H Hwang
- Steven Y Cen
- Manju Aron
- Monish Aron
- Vinay A Duddalwar
publisher: Abdominal radiology (New York)
date: '2019-04-01'
link: https://www.ncbi.nlm.nih.gov/pubmed/30506142
term: Bino Varghese[Author]
plugin: pubmed.py
file: pubmed.yaml
- id: pubmed:30240299
title: 'Differentiation of Predominantly Solid Enhancing Lipid-Poor Renal Cell Masses
by Use of Contrast-Enhanced CT: Evaluating the Role of Texture in Tumor Subtyping.'
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12 changes: 12 additions & 0 deletions _posts/2025-04-17-URS.md
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---
title: Undergraduate Research Symposium
image: images/URS-1.jpg
---

Research Work titled The Role of Diffusion-Weighted MRI Radiomics in Improving Breast Cancer Diagnosis and Treatment and Multimodal Radiomic Profiling Distinguishes AT1-GKTG and AT2-SKTG Lung Adenocarcinoma Models were presented at the Undergraduate Research Symposium by Emily Parker and Sophia Hai.



{% include feature.html image="images/URS-1.jpg" text=text %}

{% include feature.html image="images/URS-2.jpg" text=text %}
10 changes: 10 additions & 0 deletions _posts/2025-05-20-WHS.md
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---
title: Women's Health Symposium
image: images/WHS-1.jpg
---

Research work titled AI-Enhanced Imaging Approaches for Breast Cancer Detextion in Mammography was presented at Women's Health Symposium, UC Davis Health by Dr. Bino Varghese.

Meeting April Krueger at the Wyeth Krueger Symposium held at UC Davis was truly inspiring. As the courageous lead plaintiff in the landmark Krueger v. Wyeth, Inc. case, April stood up against Wyeth Pharmaceuticals for misrepresenting the safety of their hormone replacement therapy drugs. The funds received from this case have greatly supported my research and research across multiple institutions in California, driving significant progress in the area of women’s health.  Throughout the symposium, April openly shared he r powerful story and deep commitment to advancing research and awareness, creating a meaningful space for everyone dedicated to improving women’s health.

{% include feature.html image="images/WHS-1.jpg" style="bare" text=text %}
20 changes: 20 additions & 0 deletions blog/index.md
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---
title: Blog
nav:
order: 5
tooltip: Musings and miscellany
---

# {% include icon.html icon="fa-solid fa-feather-pointed" %}Blog

Explore our blog for articles, conference highlights, and poster presentations from leading symposiums, showcasing our latest scientific advancements and collaborative achievements.

{% include section.html %}

{% include search-box.html %}

{% include tags.html tags=site.tags %}

{% include search-info.html %}

{% include list.html data="posts" component="post-excerpt" %}
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---
title: Contact
nav:
order: 6
order: 7
tooltip: Email, address, and location
---

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25 changes: 25 additions & 0 deletions index.md
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{% capture text %}

Explore our blog for articles, conference highlights, and poster presentations from leading symposiums, showcasing our latest scientific advancements and collaborative achievements.

{%
include button.html
link="blog"
text="See our articles"
icon="fa-solid fa-arrow-right"
flip=true
style="bare"
%}

{% endcapture %}

{%
include feature.html
image="images/URS-1.jpg"
link="blog"
title="Blog"
text=text
style="bare"
flip=true
%}

{% capture text %}

We use data science to answer important questions in biology and medicine. In all of our research, we prioritize transparency, rigor, and reproducibility.

{%
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2 changes: 1 addition & 1 deletion jobs/index.md
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---
title: Jobs
nav:
order: 5
order: 6
tooltip: Join our Team
---

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