Jeremy’s computational research lab leads the development of machine learning-based models for the analysis of spatial omic data. We caught up with Jeremy at AACR 2024 to discuss his lab’s work, get ...

Graduate Certificate in Spatial Data Science teaches students how to use tools such as Geographic Information Systems (GIS), statistical modeling, machine learning, and data visualization. Students ...

How the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

Linking spatial and temporal profiling to clinical settings through advanced machine learning. Sponsored by: Vizgen. 13. Speakers Carole Chedid, Ph.D. ... By integrating spatial transcriptomics and ...

A group of researchers is finally starting to crack that code, introducing BAT, what they are calling the first spatial, audio-based LLM that can reason about sounds in a 3-D environment. The ...

Now, researchers from Japan have developed STAIG, a deep-learning framework that integrates gene expression, spatial data, and histological images to identify tissue regions with high accuracy.