---
title: Webinars
slug: webinars
createdAt: 2026-01-26T09:49:51.514Z
---

# Upcoming Events

Events and webinars hosted or attended by Mavatar can be found on our website [https://www.mavatar.com/events.](https://www.mavatar.com/events) 

# Previous Events

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## Alzheimer’s Disease Explained: From Gene Lists to Biological Mechanisms

*Event held on 28 April 2026*

***

Alzheimer’s disease is one of the most complex challenges in medicine, not because we lack data, but because the biology is difficult to connect.
In this webinar, we explore how to move from gene lists and GWAS hits to understanding real biological mechanisms using network-based transcriptomics and data-driven approaches.

What you’ll learn
Using a published case study on galectin-3 (LGALS3) as an upstream regulator of microglial activation, we show how to:

- Move from GWAS signals to connected biological networks 
- Understand interactions between key genes such as TREM2, APOE, and LGALS3 
- Characterize disease-associated microglial signatures 
- Generate new hypotheses beyond what is currently described in the literature

::embed[]{url="https://www.youtube.com/watch?v=GzI4kWfYLbo"}
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## Rare Disease Research Webinar | Network-Based Transcriptomics for Limited Data

*Event held on 19 February 2026*

***

Rare disease research is challenging - not because the questions lack importance, but because the data is scarce, fragmented, and difficult to interpret.

If you’ve ever thought:

- “Our cohorts are too small to reach confident conclusions.”
- “Known pathways don’t fully explain what we’re seeing.”
- “We need biologically grounded hypotheses to move our project forward.”

This session is for you.

In this 30-minute research-focused webinar, Camila Guerrero, PhD (Translational Bioinformatics), demonstrates how network-based transcriptomics can uncover meaningful disease biology — even when patient data is limited.

What You’ll Learn

In this session, you’ll see how Mavatar Discovery, an AI- and data-driven research platform, helps rare disease researchers:

- Extract biological insight from small or complex transcriptomic datasets
- Identify disease-driving gene networks beyond single-gene analysis
- Generate testable hypotheses using large-scale, peer-reviewed public datasets
- Move faster from data to insight without building custom bioinformatics pipelines

The session is practical, scientifically grounded, and designed for researchers in rare disease biology, translational medicine, and drug discovery.

::embed[]{url="https://www.youtube.com/watch?v=C8c_9HaValA"}
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## Mavatar Discovery The Most Exciting 30 min in Biomedical Research

*Event held on 26 November 2025*

***

Mavatar Discovery is a next-generation SaaS platform designed for researchers, pharmaceutical companies, and academia to accelerate disease and drug research. It enables deeper, faster, and smarter insights through advanced, data-driven exploration of publicly available transcriptomic data. No code. No Pipelines. Just discovery.

Watch this webinar if you’ve ever thought:

- “Our datasets are scattered and hard to compare.”
- “We spend months processing before we can start analyzing.”
- “I need pilot data for my next grant.”

Join Camila Guerrero, PhD - Translational Medical Research in Bioinformatics, for a 30-minute live demo of Mavatar Discovery — an AI and data driven platform that helps researchers move from raw transcriptomic data to functional insight without coding or custom pipelines.

In this short session, you’ll see how to:

- Build co-expression networks and compare disease mechanisms in minutes.
- Identify biomarkers and generate pilot data using public, peer-reviewed datasets.
- Strengthen grant proposals with data-driven hypotheses.

::embed[]{url="https://www.youtube.com/watch?v=SoFx-jjwbZQ"}
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