Article
Oncology
Kai Wang, Ola Olen, Louise Emilsson, Hamed Khalili, Jonas Halfvarson, Mingyang Song, Jonas F. Ludvigsson
Summary: This study examines the association between a history of inflammatory bowel disease (IBD) in first-degree relatives (FDRs) and the risk of colorectal cancer (CRC). The researchers conducted a case-control study in Sweden among 69,659 CRC cases and 343,032 non-CRC controls. They found that having FDRs with IBD history did not increase the risk of CRC. These findings suggest that extra screening for CRC may not be necessary in the relatives of IBD patients.
INTERNATIONAL JOURNAL OF CANCER
(2023)
Review
Biochemistry & Molecular Biology
Marilyn Hagan, Bu' Hussain Hayee, Ana Rodriguez-Mateos
Summary: Polyphenols (PPs) may have therapeutic benefits in gastrointestinal (GI) disorders like IBS or IBD, but the evidence base is inconsistent and further research is needed to clarify their effects.
Article
Gastroenterology & Hepatology
Elad Boaz, Ariella Bar-Gil Shitrit, Menachem Schechter, Eran Goldin, Petachia Reissman, Shlomo Yellinek, Benjamin Koslowsky
Summary: Family history plays a role in the risk of inflammatory bowel diseases (IBDs), but there is limited and controversial data on the phenotypic characteristics of IBD patients with a strong family history. This study compared the phenotypic features of IBD patients with a high number of affected first-degree relatives to sporadic cases of IBD, finding that IBD with a very strong positive family history is associated with younger age at onset and a more adverse IBD phenotype compared to sporadic IBD.
SCANDINAVIAN JOURNAL OF GASTROENTEROLOGY
(2023)
Article
Dermatology
Khalaf Kridin, Ralf J. Ludwig
Summary: Isotretinoin does not increase the risk of Crohn's disease, but it may be associated with a slight and temporary increase in the risk of ulcerative colitis. However, it can lower the risk of irritable bowel syndrome.
JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY
(2023)
Article
Health Care Sciences & Services
Yuhan Fu, Michael Kurin, Marc Landsman, Ronnie Fass, Gengqing Song
Summary: The aim of the study was to determine whether IBS is an independent risk factor for developing opioid addiction and related gastrointestinal symptoms in patients with IBD. The results showed that patients with concomitant IBD and IBS were more likely to be prescribed oral opioids and develop opioid dependence or abuse.
JOURNAL OF PERSONALIZED MEDICINE
(2023)
Article
Gastroenterology & Hepatology
Hana Cipcic Paljetak, Anja Baresic, Marina Panek, Mihaela Peric, Mario Matijasic, Ivana Lojkic, Ana Barisic, Darija Vranesic Bender, Dina Ljubas Kelecic, Marko Brinar, Mirjana Kalauz, Marija Milicevic, Dora Grgic, Niksa Turk, Irena Karas, Silvija Cukovic-Cavka, Zeljko Krznaric, Donatella Verbanac
Summary: This study compares the differences in gut microbiota between newly diagnosed, treatment-naive adult inflammatory bowel disease (IBD) patients (CD and UC) with irritable bowel syndrome (IBS) patients and healthy individuals. The results show that changes in gut microbiota are detectable at the onset of disease and may play a significant role in the development of IBD.
Review
Gastroenterology & Hepatology
Arjun Gandhi, Ayesha Shah, Michael P. Jones, Natasha Koloski, Nicholas J. Talley, Mark Morrison, Gerald Holtmann
Summary: The systematic review and meta-analysis indicated that methane-positive SIBO is more prevalent in IBS, particularly in IBS-C, compared to controls, while it is less common in patients with IBD. In patients with IBD, methane-positive SIBO was significantly lower in Crohn's disease compared to ulcerative colitis. More studies are needed to establish a causal relationship due to the low quality of evidence and clinical heterogeneity in the current studies.
Article
Nutrition & Dietetics
Luis Alberto Sanchez-Vargas, Karina Guadalupe Hernandez-Flores, Francisco Javier Cabrera-Jorge, Jose Maria Remes-Troche, Job Reyes-Huerta, Hector Vivanco-Cid
Summary: Celiac disease (CD) is a chronic immune-mediated enteropathy triggered by dietary gluten, while irritable bowel syndrome (IBS) is a functional gastrointestinal disorder affecting the large intestine. Research reveals a higher prevalence of IgA antibodies to maize zeins (AZA) in newly diagnosed CD patients compared to IBS patients, indicating a biased immune response to gliadin-related prolamins in genetically susceptible individuals.
Article
Psychology, Biological
Andre Schulz, Sina-Katharina Welsch, Sarah Etringer, Greta Hansen, Lea Milbert, Jochen Schneider, Gennaro Taddei, Raquel Gomez Bravo, Charilaos Lygidakis, Zoe van Dyck, Annika Lutz, Paul Wilmes, Claus Vogele
Summary: This study investigates whether IBD and IBS patients have altered perception of 'natural' gastric distensions. The results show that IBD patients drink significantly more water until satiation than IBS patients, suggesting relative gastric hypersensitivity in IBS and relative hyposensitivity in IBD patients.
PHYSIOLOGY & BEHAVIOR
(2023)
Article
Medicine, General & Internal
Haoran Ke, Zitong Li, Qianyun Lin, Zefeng Shen, Ye Chen, Jinjun Chen
Summary: This study aimed to determine the causal association between inflammatory bowel disease (IBD) and irritable bowel syndrome (IBS) using genetic associations and Mendelian randomization analyses. The results showed that genetically predicted IBD was associated with an increased risk of IBS, but no association between genetically influenced IBS and IBD was identified. This study confirms the causal relationship between IBD and IBS, which may impact the diagnosis and treatment of both diseases.
FRONTIERS IN MEDICINE
(2023)
Article
Nutrition & Dietetics
Marlijne C. G. de Graaf, Corinne E. G. M. Spooren, Evelien M. B. Hendrix, Martine A. M. Hesselink, Edith J. M. Feskens, Agnieszka Smolinska, Daniel Keszthelyi, Marieke J. Pierik, Zlatan Mujagic, Daisy M. A. E. Jonkers
Summary: The study found that diet quality was lower in patients with IBD and IBS, and was associated with intestinal inflammation and gastrointestinal symptoms to varying degrees.
Review
Gastroenterology & Hepatology
Elton Dajti, Leonardo Frazzoni, Veronica Iascone, Matteo Secco, Amanda Vestito, Lorenzo Fuccio, Leonardo Henry Eusebi, Pietro Fusaroli, Fernando Rizzello, Carlo Calabrese, Paolo Gionchetti, Franco Bazzoli, Rocco Maurizio Zagari
Summary: Faecal calprotectin is a reliable test with high sensitivity and specificity for distinguishing patients with inflammatory bowel disease from those with irritable bowel syndrome. It seems to have a better sensitivity in Western countries and at a cut-off of <= 50 mu g/g.
ALIMENTARY PHARMACOLOGY & THERAPEUTICS
(2023)
Article
Gastroenterology & Hepatology
Xiufang Cui, Haiyang Wang, Ziping Ye, Yi Li, Xinyun Qiu, Hongjie Zhang
Summary: Analysis of the intestinal microbiota revealed that in Crohn's disease patients in remission with IBS-type symptoms, there was a significant increase in Faecalibacterium and a decrease in Fusobacterium. However, in ulcerative colitis patients in remission, the changes in the abundance and structure of the gut microbiota did not explain the occurrence of IBS-type symptoms.
BMC GASTROENTEROLOGY
(2021)
Article
Medicine, General & Internal
Yuhan Fu, Nisheet Waghray, Ronnie Fass, Gengqing Song
Summary: This study found that patients with inflammatory bowel disease (IBD) who also have irritable bowel syndrome (IBS) are more likely to develop IBD-related complications and undergo surgical interventions. This suggests that IBS is an independent risk factor for the development of complications and surgeries in IBD patients.
Article
Gastroenterology & Hepatology
Daniel R. Hoekman, Arine M. Vlieger, Pieter C. Stokkers, Nofel Mahhmod, Svend Rietdijk, Nanne K. de Boer, Tim G. de Meij, Carla Frankenhuis, Geert R. D'Haens, Marc A. Benninga
Summary: The study found that gut-directed hypnotherapy was not superior to standard medical treatment in treating IBS-type symptoms in IBD patients, suggesting that both treatment strategies are reasonable options from a clinical perspective.
JOURNAL OF CROHNS & COLITIS
(2021)
Article
Computer Science, Artificial Intelligence
Salma Elhag, Alberto Fernandez, Abdulrahman Altalhi, Saleh Alshomrani, Francisco Herrera
Article
Gastroenterology & Hepatology
Johan Burisch, Gediminas Kiudelis, Limas Kupcinskas, Hendrika Adriana Linda Kievit, Karina Winther Andersen, Vibeke Andersen, Riina Salupere, Natalia Pedersen, Jens Kjeldsen, Renata D'Inca, Daniela Valpiani, Doron Schwartz, Selwyn Odes, Jongero Olsen, Kari Rubek Nielsen, Zsuzsanna Vegh, Peter Laszlo Lakatos, Alina Toca, Svetlana Turcan, Konstantinos H. Katsanos, Dimitrios K. Christodoulou, Mathurin Fumery, Corinne Gower-Rousseau, Stefania Chetcuti Zammit, Pierre Ellul, Carl Eriksson, Jonas Halfvarson, Fernando Jose Magro, Dana Duricova, Martin Bortlik, Alberto Fernandez, Vicent Hernandez, Sally Myers, Shaji Sebastian, Pia Oksanen, Pekka Collin, Adrian Goldis, Ravi Misra, Naila Arebi, Ioannis P. Kaimakliotis, Inna Nikuina, Elena Belousova, Marko Brinar, Silvija Cukovic-Cavka, Ebbe Langholz, Pia Munkholm, Ola Niewiadomski, Sally Bell, Niksa Turk, Silvija Cukovic-Cavka, Ioannis Kaimakliotis, Anastasia Nicolaou, Dana Duricova, Milan Lukas, Martin Bortlik, Olga Shonova, Johan Burisch, Pia Munkholm, Ebbe Langholz, Birgitte Blichfeldt, Dorte Marker, Katrine Carlsen, Petra Weimers, Natalia Pedersen, Jens Kjeldsen, Clays Aalykke, Jens Frederik Dahlerup, Karen Kudsk, Vibeke Andersen, Ida Vind, Niels Thorsgaard, Riina Salupere, Jongero Olsen, Kari Rubek Nielsen, Pia Oksanen, Pekka Collin, Konstantinnos H. Katsanos, Dimitrios K. Christodoulou, Alexandros Skamnelos, Dimitrios Politis, Karin Ladefoged, Peter Laszlo Lakatos, Zsuzsanna Vegh, Laszlo Lakatos, Peterne Demenyi, Szabina Nemethne Kramli, Colm O'Morain, Giualia Dal Piaz, Alessia Santini, Giulia Girardin, Renata D'Inca, Doron Schwartz, Selwyn Odes, Limas Kupcinskas, Laimas Jonaitis, Gediminas Kiudelis, Irena Valantiene
Article
Computer Science, Artificial Intelligence
Javier Cozar, Alberto Fernandez, Francisco Herrera, Jose A. Gamez
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2019)
Article
Genetics & Heredity
Nadia Pinto, Vania Pereira, Carmen Tomas, Silvia Loiola, Elizeu F. Carvalho, Nidia Modesti, Mariana Maxzud, Valeria Marcucci, Hortensia Cano, Regina Cicarelli, Bianca Januario, Ana Bento, Pedro Brito, German Burgos, Elius Paz-Cruz, Laura Diez-Juarez, Silvia Vannelli, Maria de Lurdes Pontes, Gabriela Berardi, Sandra Furfuro, Alberto Fernandez, Denilce Sumita, Cecilia Bobillo, Maria Gabriela Garcia, Leonor Gusmao
FORENSIC SCIENCE INTERNATIONAL-GENETICS
(2020)
Article
Computer Science, Artificial Intelligence
Jose Daniel Pascual-Triana, David Charte, Marta Andres Arroyo, Alberto Fernandez, Francisco Herrera
Summary: Data Science and Machine Learning play crucial roles for companies and research institutions, with supervised classification allowing for class prediction of new samples but certain properties may make datasets challenging to classify. Data complexity metrics are extensively used to evaluate datasets, providing information on intrinsic data characteristics to assess classifier compatibility. However, most metrics focus on a single aspect of the data, potentially inadequate for comprehensive dataset evaluation. This research revisits complexity metrics based on data morphology, proposing a new family of metrics named Overlap Number of Balls which aim to provide better estimates for class overlap and correlate with classification performance.
KNOWLEDGE AND INFORMATION SYSTEMS
(2021)
Article
Computer Science, Information Systems
Maria Jose Basgall, Marcelo Naiouf, Alberto Fernandez
Summary: FDR2-BD presents a methodological data condensation approach for reducing tabular big datasets in classification problems, which combines feature selection and uniform sampling reduction to maintain predictive quality within a user-defined threshold. The method shows robustness and scalability, outperforming existing solutions in reduction percentages while maintaining representativeness of the original data information.
Article
Computer Science, Artificial Intelligence
J. A. Fdez-Sanchez, J. D. Pascual-Triana, A. Fernandez, F. Herrera
Summary: The study introduces a novel method TC-ND based on hierarchical decompositions for obtaining interpretable multi-class models. This method creates a binary-based hierarchical class structure and discards meta-classes based on confidence levels, achieving a modular and easily understandable decomposition of multi-class problems.
Article
Automation & Control Systems
Miriam Seoane Santos, Pedro Henriques Abreu, Alberto Fernandez, Julian Luengo, Joao Santos
Summary: This work examines the impact of distance functions on K-Nearest Neighbours imputation of incomplete datasets. The experiments show that distance computation is significantly affected by missing data, and provide guidelines for selecting appropriate distance functions based on data characteristics and research objectives.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Computer Science, Artificial Intelligence
Fatemeh Aghaeipoor, Mohammad Masoud Javidi, Alberto Fernandez
Summary: This article introduces an interpretable fuzzy classifier for Big Data, aiming to boost explainability by learning a compact yet accurate fuzzy model. Developed in a cell-based distributed framework, IFC-BD goes through three working stages of initial rule learning, rule generalization, and heuristic rule selection to move from a high number of specific rules to fewer, more general and confident rules. The proposed algorithm was found to improve the explainability and predictive performance of fuzzy rule-based classifiers in comparison to state-of-the-art approaches.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Sebastian Maldonado, Carla Vairetti, Alberto Fernandez, Francisco Herrera
Summary: This paper introduces a novel SMOTE variant based on the weighted Minkowski distance, which is used to address the class-imbalance problem in high-dimensional settings. By prioritizing features that are more relevant for the classification task, the proposed method provides a better definition of the neighborhood. Furthermore, it offers the additional advantage of feature selection and performs well in handling class overlap and hubness issues.
PATTERN RECOGNITION
(2022)
Article
Pharmacology & Pharmacy
Carlos Pedraz-Valdunciel, Stavros Giannoukakos, Ana Gimenez-Capitan, Diogo Fortunato, Martyna Filipska, Jordi Bertran-Alamillo, Jillian W. P. Bracht, Ana Drozdowskyj, Joselyn Valarezo, Natasa Zarovni, Alberto Fernandez-Hilario, Michael Hackenberg, Andres Aguilar-Hernandez, Miguel Angel Molina-Vila, Rafael Rosell
Summary: This study validates the use of the nCounter platform for multiplexed EV-circRNA expression studies in LC patient samples and successfully develops a prognostic signature for LC.
Article
Engineering, Biomedical
Jose P. Amorim, Pedro H. Abreu, Alberto Fernandez, Mauricio Reyes, Joao Santos, Miguel H. Abreu
Summary: Healthcare agents are collecting large amounts of patient data, particularly in oncology. Decision-support systems based on deep learning techniques have been approved for clinical use, but their interpretability remains a barrier to their widespread adoption. This article aims to provide oncologists with a guide on how these methods make decisions and strategies to explain them. Theoretical concepts were illustrated using oncological examples and a literature review was conducted to identify research works in the field. The majority of studies focused on explaining the importance of tumor characteristics in predictions using multilayer perceptrons and convolutional neural networks. However, achieving interpretability while maintaining performance remains a significant challenge for artificial intelligence.
IEEE REVIEWS IN BIOMEDICAL ENGINEERING
(2023)
Article
Biochemistry & Molecular Biology
Silvia D'Ambrosi, Stavros Giannoukakos, Mafalda Antunes-Ferreira, Carlos Pedraz-Valdunciel, Jillian W. P. Bracht, Nicolas Potie, Ana Gimenez-Capitan, Michael Hackenberg, Alberto Fernandez Hilario, Miguel A. Molina-Vila, Rafael Rosell, Thomas Wurdinger, Danijela Koppers-Lalic
Summary: This study investigates the synergistic contribution of circRNA and mRNA derived from blood platelets as biomarkers for lung cancer detection. Using a comprehensive bioinformatics pipeline, platelet-derived circRNA and mRNA from non-cancer individuals and lung cancer patients were analyzed. Machine learning algorithms were used to generate predictive classification models based on an optimal selected signature. The study demonstrates the potential of a multi-analyte-based approach using platelet-derived biomarkers for lung cancer detection.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Computer Science, Artificial Intelligence
Fatemeh Aghaeipoor, Mohammad Sabokrou, Alberto Fernandez
Summary: The explainability of deep neural networks has become a topic of interest, and this article proposes a fuzzy rule-based explainer system that helps understand the functioning of these networks. These systems maintain accuracy while reducing complexity and improving comprehensibility.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
Article
Clinical Neurology
Marc Norman, Sarah J. Wilson, Sallie Baxendale, William Barr, Cady Block, Robyn M. Busch, Alberto Fernandez, Erik Hessen, David W. Loring, Carrie R. McDonald, Bruce P. Hermann
Summary: This paper addresses the lack of an international diagnostic taxonomy for cognitive disorders in epilepsy and proposes a consensus-based classification system framework as a solution.