Machine Learning, Deep Learning, and AI in T1D Research

In this episode, Jesse Islam joins us to discuss goal-oriented in silicon perturbations (GOSIP): novel counterfactual deep learning framework applied to diabetes research.

This video is private.

In this episode, Paul Thomas discusses T cell receptor pipelines for type 1 diabetes.

#asktheexpert #ATE #type1diabetes #t1d #t1dresearch #diabetesresearch #novel #diabetes #autoimmune #autoimmunediabetes #tcrbeta #tcr #tcellreceptor #tcells #repertoire #TCR #pipeline

In this episode, Abhijeet Patil PhD discusses Modeling Type 1 Diabetes Progression using Machine-learning and Single-cell Transcriptomic Measurements in Human Islets.

Anchors: Bridget Wagner PhD (MIT), Milena Pavlovic PhD (ImmuneML), Melanie Shapiro PhD (UFDI), Maryann Martone PhD (NIDDK/dkNET), Kendra Venhik PhD (USF), Alma-Martina Martinez PhD (Stanford)

WHAT:
State of the Science is an interactive conversation with room for granular and lively debate focused on the most pressing issues in type 1 diabetes (T1D) research. Our goal is to foster open science, interaction, and collaboration–all hallmarks of the(sugar)science mission. These virtual conversations will involve: 

30 minute introduction – What’s HOT in this field? Describing the state of the art.
20 minute panel interface – What does the future hold?
10 minutes – Audience Q/A

WHO:
Anchors (2) – introduce the topic, state of the art, and what’s happening in the field
Panelists (3) – debate current hypotheses and postulate what the future folds
Audience (50-100) – contribute meaningful questions and insights

Link to our page: https://thesugarscience.org/state-of-the-science/

In this video vLUME founders, Alex Kitching, Alex Spark, and Steven Lee join us to discuss vLUME technology, 3D Nanoimaging Platform. vLUME provides a live demo of the technology and an inside look at a helper T cell. vLUME is the world's first and only Virtual Reality solution for Super-resolution Microscopy. Visualize, segment, and analyze in real-time your massive localization data at any scale.

Click on the link below to listen to our podcast with them.
https://www.podbean.com/ew/pb-du7mt-f3bf41

Their website: https://www.lumevr.com/