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 […]
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 […]
A new publication from Prof. Ilias Tagkopoulos and collaborators about The AIFS Institute: Building a better food system through AI. Abstract: Our food system is complex, multifaceted, and in need of an upgrade. Population growth, climate change, and socioeconomic disparities are some of the challenges that create a systemic threat to its sustainability and capacity to […]
A new publication from Trevor Chan, Prof. Ilias Tagkopoulos, and collaborators about IL-23 induces CLEC5A+ IL-17A+ neutrophils and elicit skin inflammation associated with psoriatic arthritis. Abstract: IL-23-activation of IL-17 producing T cells is involved in many rheumatic diseases. Herein, we investigate the role of IL-23 in the activation of myeloid cell subsets that contribute to skin inflammation in mice and […]
A new publication from Fangzhou Li, Dr. Ilias Tagkopoulos, and collaborators about Profile Characterization of Biogenic Amines in Glioblastoma Patients Undergoing Standard-of-Care Treatment. Introduction: Biogenic amines play important roles throughout cellular metabolism. This study explores a role of biogenic amines in glioblastoma pathogenesis. Here, we characterize the plasma levels of biogenic amines in glioblastoma patients undergoing […]
A new publication from Jason Youn and Dr. Ilias Tagkopoulos about KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction is accepted in Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023), Association for Computational Linguistics (ACL). Abstract: The ability of knowledge graphs to represent complex relationships at scale […]
A new publication from Tarini Naravane and Dr. Ilias Tagkopoulos about Machine learning models to predict micronutrient profile in food after processing. Abstract: The information on nutritional profile of cooked foods is important to both food manufacturers and consumers, and a major challenge to obtaining precise information is the inherent variation in the composition of the raw […]
A new publication from Jason Youn, Fangzhou Li, and Dr. Ilias Tagkopoulos about Semi-automated construction of food composition knowledge base is accepted as a lightning talk in the 37th AAAI Conference on Artificial Intelligence, AI for Agriculture and Food Systems Workshop (AAAI-23 AIAFS). Abstract: A food composition knowledge base, which stores the essential phyto-, micro-, and […]
A new publication from Trevor Chan, Cheng-En Tan, and Dr. Ilias Tagkopoulos about Audit lead selection and yield prediction from historical tax data using artificial neural networks. Abstract: Tax audits are a crucial process adopted in all tax departments to ensure tax compliance and fairness. Traditionally, tax audit leads have been selected based on empirical […]
A new publication from Dr. Ilias Tagkopoulos and collaborators about Chardonnay Marc as a New Model for Upcycled Co-products in the Food Industry: Concentration of Diverse Natural Products Chemistry for Consumer Health and Sensory Benefits. Abstract: Research continues to provide compelling insights into potential health benefits associated with diets rich in plant-based natural products (PBNPs). […]
A new publication from Dr. Ameen Eetemadi and Dr. Ilias Tagkopoulos, about Algorithmic Lifestyle Optimization. Abstract: A hallmark of personalized medicine and nutrition is to identify effective treatment plans at the individual level. Lifestyle interventions (LIs), from diet to exercise, can have a significant effect over time, especially in the case of food intolerances and […]
A new publication from collaborators and Dr. Ilias Tagkopoulos, about An Early Prediction Model for Canine Chronic Kidney Disease Based on Routine Clinical Laboratory Tests. Abstract: The aim of this study was to derive a model to predict the risk of dogs developing chronic kidney disease (CKD) using data from electronic health records (EHR) collected […]
A new publication from collaborators and Dr. Ilias Tagkopoulos, about A Computational Algorithm to Assess the Physiochemical Determinants of T Cell Receptor Dissociation Kinetics. Abstract: The rational design of T Cell Receptors (TCRs) for immunotherapy has stagnated due to a limited understanding of the dynamic physiochemical features of the TCR that elicit an immunogenic response. […]
A new publication from Dr. Navneet Rai, Dr. Minseung Kim, and Dr. Ilias Tagkopoulos, about Understanding the Formation and Mechanism of Anticipatory Responses in Escherichia coli. Abstract: Microorganisms often live in complex habitats, where changes in the environment are predictable, providing an opportunity for microorganisms to learn, anticipate the upcoming environmental changes and prepare in […]
A new publication from Jason Youn, Dr. Navneet Rai, and Dr. Ilias Tagkopoulos, about Knowledge integration and decision support for accelerated discovery of antibiotic resistance genes. Abstract: We present a machine learning framework to automate knowledge discovery through knowledge graph construction, inconsistency resolution, and iterative link prediction. By incorporating knowledge from 10 publicly available sources, […]
A new publication from Dr. Bo Mi Lee, Dr. Ameen Eetemadi, and Dr. Ilias Tagkopoulos, about Reduced graphene oxide-metalloporphyrin sensors for human breath screening. Abstract: The objective of this study is to validate reduced graphene oxide (RGO)-based volatile organic compounds (VOC) sensors, assembled by simple and low-cost manufacturing, for the detection of disease-related VOCs in […]
A new publication from collaborators and our lab members, Dr. Erol S. Kavvas, Dr. Xiaokang Wang, and Dr. Ilias Tagkopoulos, about Adaptive laboratory evolution for improved tolerance of isobutyl acetate in Escherichia coli. Abstract: Previously, Escherichia coli was engineered to produce isobutyl acetate (IBA). Titers greater than the toxicity threshold (3 g/L) were achieved by using layer-assisted production. […]
A new publication from collaborators and our lab members, Jaesung Youn and Dr. Tagkopoulos, about Integration of statistical inferences and machine learning algorithms for prediction of metritis cure in dairy cows. Abstract: The study’s objectives were to identify cow-level and environmental factors associated with metritis cure to predict metritis cure using traditional statistics and machine […]
A new publication from Dr. Beatriz Merchel Piovesan Pereira, Muhammad Adil Salim, Dr. Navneet Rai, and Dr. Ilias Tagkopoulos about Tolerance to glutaraldehyde in Escherichia coli mediated by overexpression of the aldehyde reductase YqhD by YqhC. Abstract: Glutaraldehyde is a widely used biocide on the market for about 50 years. Despite its broad application, several reports on the emergence of bacterial […]
A new publication from Dr. Ki-Jo Kim, Dr. Su-Jin Moon, Dr. Kyung-Su Park, and Dr. Ilias Tagkopoulos about drug effects modeling on disease module in systemic sclerosis. Abstract: The network-based proximity between drug targets and disease genes can provide novel insights regarding the repercussions, interplay, and repositioning of drugs in the context of disease. Current […]
A new publication from Dr. Beatriz Pereira, Dr. Xiaokang Wang, and Dr. Ilias Tagkopoulos about the response of Escherichia coli to biocides (antiseptics and disinfectants) after adaptive laboratory evolution. The work explores the differences between biocides when selecting for mutations in the E. coli genome, their effect on biofilm formation, biocide, and antibiotic susceptibility. Reference: Pereira, Beatriz Merchel Piovesan, […]
A new Clinical Nutrition article by Ameen Eetemadi and Professor Ilias Tagkopoulos investigating the role of the gut microbiome in dietary treatments for irritable bowel syndrome (IBS). We integrated and analyzed raw microbiome data from multiple IBS studies and showed for the first time that methane and fatty acid metabolism pathways are predictive of Low-FODMAP […]
A new publication from Derrick Risner, Fangzhou Li, Dr. Jason S. Fell, Dr. Sara A. Pace, Dr. Justin B. Siegel, Dr. Ilias Tagopolous, and Dr. Edward S. Spang, providing a model for assessing the projected cost of animal cell-based meat. A sensitivity analysis of the model identified the nine most influential cost factors for ACBM […]
A new Front. Artif. Intell. article by Jason, Tarani, and Prof. Tagkopoulos! In this work, we applied the learning ontologies via embeddings (LOVE) framework, which takes advantage of the semantic similarity of the word embeddings to the field of food ontologies. The automated method we proposed here is a solution to the manual burden of […]
A new publication from Xiaokang Wang, Navneet Rai, Beatriz Merchel Piovesan Pereira, Ameen Eetemadi, and Ilias Tagkopoulos. How to design experiments that accelerate knowledge discovery on complex biological landscapes remains a tantalizing question. In this paper we designed an optimal experimental design (coined OPEX) framework to guide omics experimentation by selecting the most informative experiments to […]
A new publication from Dr. Wai Shun Mak, Dr. Xiaokang Wang, Rigoberto Arenas, Youtian Cui, Dr. Steve J Bertolani, Wen Qiao Deng, Dr. Ilias Tagkopoulos, Dr. David K Wilson, Dr. Justin B Siegel, combining structural biology, genomic mining, and computational modeling to identify structural features critical to aldehyde deformylating oxygenases (ADOs). They discovered latent ADO-like […]
A new publication from Dr. Young Bin Joo, Dr. In-Woon Baek, Dr. Kyung-Su Park, Dr. Ilias Tagkopoulos, and Dr. Ki-Jo Kim, investigating whether unbiased clustering analysis of phenotypic data can lead to coherent subgroups of axSpA patients with a distinct risk of radiographic progression. They found out that phenotype mapping results in a clinically relevant […]
A new publication from Beatriz Pereira, Xiaokang Wang, and Dr. Ilias Tagkopoulos on E. coli’s stress response to everyday use biocides. The work highlights the differences between short- and long-term exposure to biocides in the bacterial transcriptome. Novel correlations between zinc-homeostasis genes and tolerance to biocides were explored, and targets for future investigation of resistance […]
A new publication from our lab with Ameen, Navneet, Beatriz, Minseung and Prof. Tagkopoulos reviewing the computational methods across diet, microbiome, and health including an overview of the current knowledge about diet-health-gut microbiota, relevant data sources, bioinformatics tools, machine learning methods, recommendation system approaches, the intellectual property landscape and new scenarios to be unlocked in […]
A new publication from Beatriz Pereira and Dr. Ilias Tagkopoulos reviewing benzalkonium chlorides (BACs). The review overviewed the current market and regulations of BACs as well as available safety data and the correlation between BACs and increasing of microbial tolerance to chemicals. The work suggested a role of BACs in generating selective environments that favor […]
A new publication from our lab with Ki-Jo, Minseung, Iannis and Prof. Tagkopoulos on curating a Rheumatoid arthritis (RA) synovial genome-scale transcriptomic profiles which cover an intersection of 11769 genes from 11 datasets. Three clusters with different pathway signatures are observed and the prediction model using gene expression level as input for drug effectiveness are […]
A new publication from our lab with Navneet, Linh, Minseung and Prof. Tagkopoulos on observing a reproducible phenomenon of abrupt population decrease followed by a rapid increase during long‐term chemostat cultivations in specific E.coli strains. Genetic basis of this phenomenon is identified by genome and transcription profiling. Rai, Navneet, et al. “Population collapse and adaptive rescue […]
A new publication from our lab with Ki-Jo and Prof. Tagkopoulos on reviewing different machine approaches for clinical data analysis in rheumatic diseases research. Kim, Ki-Jo, and Ilias Tagkopoulos. “Application of machine learning in rheumatic disease research.” The Korean journal of internal medicine(2018). doi:10.3904/kjim.2018.349 (link)
