SOT FDA Colloquium April 29: “Artificial Intelligence Applications in Food and Cosmetic Safety”

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SOT and the US Food and Drug Administration Center for Food Safety and Applied Nutrition (US FDA/CFSAN) cordially invite you to join us for our April 29 colloquium, “Artificial Intelligence Applications in Food and Cosmetic Safety.” This live webcast is open to the public to attend at no charge. These colloquia are an update on toxicological science rather than a public forum for discussion of toxicology regulatory issues. The colloquium will take place from 8:30 am to 12:50 pm (ET) exclusively via webcast. The Chair of the colloquium is James Riviere, DVM, PhD, of 1DATA Consortium, Institute of Computational Comparative Medicine, and the Co-Chair is Ernest Kwegyir-Afful, PhD, RAC, of US FDA/CFSAN.

Artificial intelligence (AI) is defined as the science and engineering of making intelligent machines. Machine learning is a subset of artificial intelligence in which analytical model building is automated and not explicitly programmed. It is based on the idea that systems can learn from data, identify patterns, and make decisions with minimal human intervention. As more data are generated in various scientific disciplines, AI promises to provide an analytical tool with more precision than existing standard methods. Advances in computational toxicology have benefited public health by reducing reliance on animal studies and reducing the cost of performing such experiments. Machine-learning methods can extend the capacity of computational toxicology methods such as read-across, QSAR, and kinetic models. In fact, natural language processing and deep learning methods are being used to develop predictive toxicology models to outperform the traditional QSAR and read-across models.

These developments in science and technology show great potential in further advancing the safety of our food and cosmetic production. In the broader food production and food safety space, AI technologies are being developed to enhance the growth of foods by monitoring and modifying growth parameters, managing supply chains, cleaning processing equipment, identifying plant diseases, developing new products, and enforcing employee personal hygiene procedures during food processing. In the cosmetic space, AI technologies are being used to augment data from in vitro studies and predict dermal absorption and toxicity in the absence of animal tests. As these technologies mature, we must start thinking about how to standardize procedures for safety assessments derived from AI-generated data and how to best leverage these technologies to advance food and cosmetic safety.  

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Presentations include: 

8:30 AM–8:40 AM

Welcome
TBD, US FDA, College Park, MD

Speaker Introductions
Ernest K. Kwegyir-Afful, US FDA/CFSAN, College Park, MD

8:40 AM–9:15 AM

Artificial Intelligence in Food and Cosmetic Safety Overview
Jim Riviere, 1DATA Consortium, Institute of Computational Comparative Medicine, Raleigh, NC

9:15 AM–9:50 AM

General Introduction to AI and Some Common Applications
Steve Bennett, SAS Institute, Cary, NC

9:50 AM–10:25 AM

Food AI Cleaning System for Food Manufacturing Equipment—Food Safety
Nicholas Watson, University of Nottingham, Nottingham, United Kingdom

10:25 AM–10:40 AM

Break

10:40 AM–11:15 AM

Using AI to Extend QSAR Models
Chaoyang (Joe) Zhang, University of Southern Mississippi, Hattiesburg, MS

11:15 AM–11:50 AM

Using Machine Learning for Cosmetics and Cosmetic Ingredients
Tim Allen, University of Cambridge, Cambridge, United Kingdom

11:50 AM–12:50 PM

Roundtable Discussion
Moderator: Jim Riviere, 1DATA Consortium
All Speakers
Additional Panelist: Ernest K. Kwegyir-Afful, US FDA/CFSAN, College Park, MD

Questions concerning the regulatory science are encouraged from webcast participants for the roundtable discussion. Regulatory policy will not be discussed.

The SOT FDA Colloquia on Emerging Toxicological Science: Challenges in Food and Ingredient Safety present scientific training that is high-quality, cutting-edge, future-oriented toxicological science for US FDA employees and are open to the public at no cost.

Recordings and slides from the previous colloquia are available for free via the “SOT FDA Colloquia” web page, including the February 19, 2020, session, “Route-to-Route Extrapolation in the 21st Century.”

An additional 2020 colloquium scheduled for May will explore “Integrated Approaches to Testing and Assessment—The Future of Predictive Toxicology” (webcast only). 

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