Building Trust: Validating Artificial Intelligence (AI) and Machine Learning in Agricultural Applications

At the ACS Fall 2025 meeting, a joint Agrochemicals (AGRO) and Chemical Information (CINF) division symposium convened international experts to provide insights into the opportunities and challenges of integrating artificial intelligence (AI) and machine learning (ML) in agricultural science. AI and ML are transforming agriculture by enabling predictive modeling…

Authors: Rachelle J. Bienstock, William O’Sullivan, Leah S. Riter

Publication date: 27/12/2025

U.S. Leadership in Food Safety: A Blueprint for Global Food Security through Pesticide Science

The 2025 American Chemical Society’s Agrochemicals (AGRO) Division Fall meeting hosted the symposium “Pesticide Regulation, Global Trade: U.S. Leadership in Food Security”. Focusing on the data session, this Viewpoint highlights that a safe, plentiful food supply requires robust data systems and innovative regulatory modernization. The United States builds a…

Authors: David J. Miller, Heidi B. Irrig

Publication date: 26/12/2025

A Plain Language Beginner’s Guide to Artificial Intelligence (Al) and Machine Learning

AI isn’t just for tech companies. It’s already changing how we grow, harvest, and keep food safe. The Western Growers Science team, in collaboration with Creme Global, developed this guide as a beginner-friendly introduction to the world of Artificial Intelligence and Machine Learning. Whether you’re completely new to these…

Authors: Gustavo Reyes (Western Growers Science), Cronan McNamara (Creme Global)

Publication date: 12/11/2025

Physiologically based toxicokinetic models in aggregate exposure: A review

Exploring the application of Physiologically Based Kinetic (PBK) models in aggregate exposure (AE) assessment across different chemical classes. This literature review explores the application of Physiologically Based Kinetic (PBK) models in aggregate exposure (AE) assessment across different chemical classes. It builds on the screening of 1119 publications and the…

Authors: L. Lamon, A. Paini, M. Siccardi, J. Doyle, C. McNamara, K.S. Galea, M. Ghosh, H. Louro, M.J. Silva, N. El Yamani , M. Dusinska, R. Moeller , R.C. Duca, . Cubadda, S. Viegas, C. Martins , P. Price

Publication date: 01/11/2025

EFSA Roadmap for action for advancing aggregate exposure to chemicals in the EU

The European Food Safety Authority (EFSA) aims to efficiently conduct aggregate exposure assessments (AEAs) for chemicals using both exposure models and human biomonitoring (HBM) data by 2030. To realize this vision, EFSA has developed a comprehensive roadmap. This roadmap was created through a series of engagement and data collection…

Authors: L. Lamon, J. Doyle, A. Paini, R. Moeller, S. Viegas, F. Cubadda, P. Hoet, A. van Nieuwenhuyse, H. Louro, M Dusinska, K.S. Galea, R. Canham, C. Martins, A. Gama, V. Teófilo, M. Diniz-da-Costa, M. João Silva, C. Ventura, P. Alvito, N. El Yamani, M. Ghosh, R.C. Duca, M. Siccardi, E. Runden-Pran, C. McNamara, P. Price

Publication date: 10/07/2024

Modelling the public health benefits of fibre fortification in the Chinese population through food reformulation

Understanding the Impact of Dietary Fibre Fortification on Health in China This study provides a practical application that implicates the potential public health benefits that could be achieved with food product reformulation. Numerous studies have demonstrated that adequate consumption of dietary fibre (DF) offers multiple health benefits. However, data…

Authors: Thomas Teh1, Yang Ying1, Noa Pereira Prada Schnor, Brian Flynn, William Goodwin, William O’Sullivan, Sandrine Pigat, John Hirsch, Lorraine Crowley, Katie Adolphus, Ieva Laurie, Kavita Karnik, Davide Risso

Publication date: 23/05/2024

A data-driven approach for prioritising microbial and chemical hazards associated with dairy products using open-source databases

This study presents a data-driven approach for classifying food safety alerts related to chemical and microbial contaminants in dairy products using the Rapid Alert System for Food and Feed (RASFF) and the World Health Organization (WHO)’s Global Environmental Monitoring System (GEMS) food contaminants databases….

Authors: Gopaiah Talari, Rajat Nag, John O’Brien, Cronan McNamara, Enda Cummins

Publication date: 15/01/2024

All Publications, Exposure, Food Safety, Microbiology, Technology

From worst-case to reality – Case studies illustrating tiered refinement of consumer exposure to cosmetic ingredients

Consumer exposure to cosmetic ingredients is estimated in a tiered manner. Simple Tier1 deterministic aggregate exposure modelling generates a worst case estimate of exposure. Tier1 assumes that a consumer uses all cosmetic products concomitantly daily, at maximum frequency, and products always contain the ingredient at the maximum allowed %…

Authors: Sarah Tozer, Camilla Alexander-White, Ripal Amin, Françoise Audebert, Catherine Barratt, John O’Brien, Tim Burke, Dagmar Bury, Hermine Dika Nguea, Myrto Dimopoulou, Sarah Farahmand, Sabrina Fritz, Elisabeth Gerber, Arianna Giusti, William Goodwin, Taryn Kirsch, Victor Oreffo, Cronan McNamara

Publication date: 01/09/2023

All Publications, Chemicals, Exposure, Fragrances, Personal Care

Web-Based 24-Hour Dietary Recall Tool for Russian Adults and School-Aged Children: Validation Study

The study objective is to assess the extent of agreement between a self-administered and an interviewer-administered 24-hour dietary recall in Russian adults and school-aged children using an adaptation of a web-based 24-hour recall tool….

Authors: Pigat S, Soshina M, Berezhnaya Y, Kryzhanovskaya E

Publication date: 16/08/2023

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