Use AI/ML to Enhance the Bioimaging Capabilities at Brookhaven National Laboratory (BNL)
Description
Three projects: use expertise in ML as one element in building an integrated multiscale bioimaging capability at BNL; use AI/ML tools use to accelerate the analysis of protein structure and function; develop a high-resolution AI-led analysis of nondi
Detailed example
Three projects: use expertise in ML as one element in building an integrated multiscale bioimaging capability at BNL; use AI/ML tools use to accelerate the analysis of protein structure and function; develop a high-resolution AI-led analysis of nondisrputive, time-resolved light microscopy images measured at lower spatial resolutions
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Three projects: use expertise in ML as one element in building an integrated multiscale bioimaging capability at BNL; use AI/ML tools use to accelerate the analysis of protein structure and function; develop a high-resolution AI-led analysis of nondisrputive, time-resolved light microscopy images measured at lower spatial resolutions
Audit / financial statement impact
Does not meet definition
Controls / human review
ATO: Not reported; PIA: Not published