Date: 10/12/23
Speaker: Irene Chen
Title: Beyond Bias: Constructing an Ethical Framework for AI in Medicine
Host: Weiruo Zhang
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DATE: Wednesday, 11 October 2023
TIME: 3:00–4:30 PM
TITLE: A Novel Chest Computed Tomography Scoring System in Children and Adolescents with Rheumatologic Diffuse Lung Disease
LOCATION: Conference Room X399, Medical School Office Building, 1265 Welch Road, Stanford, CA
Gina Bouchard: Computational frameworks to quantify and compare microenvironment spatial features of in vitro patient-derived models and clinical specimens are needed. Here, we acquired and analysed multiplexed immunofluorescence images of human lung adenocarcinoma (LUAD) alongside tumour-stroma assembloids constructed with organoids and fibroblasts harvested from the leading edge (Tumour-Adjacent Fibroblasts, TAFs) or core (Tumour Core Fibroblasts, TCFs) of human LUAD.
Read more: https://www.biorxiv.org/content/10.1101/2023.09.11.557278v1
Exciting work in glioblastoma research spearheaded by postdoc Yuan-Ning Zheng. The Gevaert team has developed a deep learning model to predict transcriptional subtypes of glioblastoma cells from spatial transcriptomics data and histology images. Moreover, this study establishes a connection between spatial cellular architecture and clinical outcomes.
Read more here: https://www.nature.com/articles/s41467-023-39933-0
Watch video here: https://www.youtube.com/watch?v=7JxOaLAUaaI
The team has also developed a website where pathologist can test the model:
https://gbm360.stanford.edu/