Spatial analysis of watershed Projects. Several ongoing projects address the potential influences of natural processes, global change and regional human activities on the water and carbon cycles and ...

(Data West Research Agency definition: see GIS glossary.) Analytical techniques to determine the spatial distribution of a variable, the relationship between the spatial distribution of variables ...

Vision-language models (VLMs) are advanced computational ... and a precise transformation matrix that encodes the spatial relationship between the camera and the object, the kind of data robots use to ...

The ICON model can be used for weather forecasting as well as climate predictions and long-term projections. So far, however, ...

By integrating predictive spatial scores into their clinical trial designs, AstraZeneca improved patient stratification and optimized therapeutic targeting.” The role of AI in spatial biomarker ...

Spatial multiomics yields big data, creating challenges in data storage, sharing, accessibility, and analysis, in addition to the challenge of re-equipping the pathology workforce with software ...

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 ...

• How AI-supported spatial image analysis together with Ultivue’s InSituPlex assays deliver accurate and scalable insights into the biology of the tumor microenvironment.