Transforming Chemical Safety with AI-driven SDS Indexing The third paper, A Machine Learning Driven Automated System to Extract Multiple Information Fields from Safety Data Sheet Documents, published in Elsevier, and authored by Misbah Khan, Julia Penfield, PhD., Aatish Suman, and Stephanie Crowell, presents an AI-powered system designed to automate the extraction of key chemical safety data from Safety Data Sheets (SDS).
Advancements in Ergonomics Risk Assessment The first paper, NLP-based Ergonomics MSD Risk Root Cause Analysis and Risk Controls Recommendation, published in Ergonomics and authored by Pulkit Parikh, PhD., Julia Penfield, PhD., Richard Barker, CPE, CSP, Blake McGowan, CPE, and James Richard Mallon, CPE, presents an AI-powered framework that utilizes Natural Language Processing (NLP) to automate the identification of musculoskeletal disorder (MSD) risks and recommend targeted risk controls.
These papers, published in the esteemed journals Ergonomics; International Journal of Data Warehousing and Mining; and Elsevier, showcase VelocityEHS' innovative in musculoskeletal disorder (MSD) risk assessment, ESG data management, and Chemical Safety.
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