A new publication from Dr. Konstantinos Markakis, Prof. Ilias Tagkopoulos, and the collaborators about Artificial intelligence in food and nutrition evidence: The challenges and opportunities based on a convening of content experts. Abstract: Science-informed decisions are best guided by the objective synthesis of the totality of evidence around a particular question and assessing its trustworthiness through […]
A new publication from Fangzhou Li, Dr. Jason Youn, Christian Millsop, and Prof. Ilias Tagkopoulos about Predicting clinical trial success for Clostridium difficile infections based on preclinical data. Abstract: Preclinical models are ubiquitous and essential for drug discovery, yet our understanding of how well they translate to clinical outcomes is limited. In this study, we investigate the […]
A new publication from Arielle Yoo, Fangzhou Li, Dr. Jason Youn, Prof. Ilias Tagkopoulos, and the collaborators about Prediction of adolescent depression from prenatal and childhood data from ALSPAC using machine learning. Abstract: Depression is a major cause of disability and mortality for young people worldwide and is typically first diagnosed during adolescence. In this […]
A new publication from Dr. Jason Youn, Fangzhou Li, Gabriel Simmons, Dr. Shanghyeon Kim, and Prof. Ilias Tagkopoulos about FoodAtlas: Automated knowledge extraction of food and chemicals from literature. The website is available at https://www.foodatlas.ai/. Abstract: Automated generation of knowledge graphs that accurately capture published information can help with knowledge organization and access, which have […]
An abstract from Fangzhou Li, Prof. Ilias Tagkopoulos, and collaborators about Combining proteomics and metabolomics to assess protein digestibility was presented at the conference NUTRITION 2024, American Society of Nutrition, Chicago, IL. Abstract: We presented a clinical feeding study aimed at assessing the digestibility of proteins derived from various food sources in a cohort of 16 […]
Congrats to Jason’s completion of his Ph.D. degree in Computer Science! We hope Dr. Youn’s new journey as a Machine Learning Scientist at TikTok will be full of success!
A new publication from Prof. Ilias Tagkopoulos and collaborators about Discovery of potent glycosidases enables quantification of smoke-derived phenolic glycosides through enzymatic hydrolysis. Abstract: When grapes are exposed to wildfire smoke, certain smoke-related volatile phenols (VPs) can be absorbed into the fruit, where they can be then converted into volatile-phenol (VP) glycosides through glycosylation. These […]
A new publication from Cheng-En Tan, Prof. Ilias Tagkopoulos, and collaborators about Volatile organic compound-based predictive modeling of smoke taint in wine. Abstract: Smoke taint in wine has become a critical issue in the wine industry due to its significant negative impact on wine quality. Data-driven approaches including univariate analysis and predictive modeling are applied to […]