Article
Immunology
Bohan Li, Hua Duan, Sha Wang, Jiajing Wu, Yazhu Li
Summary: The level of immune infiltration is closely associated with successful embryo implantation. Macrophage-endometrium interaction modules play a critical role in reproductive outcomes.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Oncology
Yixuan Zhai, Dixiang Song, Fengdong Yang, Yiming Wang, Xin Jia, Shuxin Wei, Wenbin Mao, Yake Xue, Xinting Wei
Summary: This study established and validated a radiomics nomogram for predicting meningiomas consistency, showing good sensitivity and specificity in determining individualized operation schemes.
FRONTIERS IN ONCOLOGY
(2021)
Article
Endocrinology & Metabolism
Aihua He, Hong Wu, Yangyun Zou, Cheng Wan, Jing Zhao, Qiong Zhang, Nenghui Liu, Donge Liu, Yumei Li, Jing Fu, Hui Li, Xi Huang, Tianli Yang, Chunxu Hu, Zhaojuan Hou, Yue Sun, Xin Dong, Jian Wu, Sijia Lu, Yanping Li
Summary: This study established a noninvasive endometrial receptivity prediction tool (nirsERT) based on uterine fluid transcriptomic data, which can accurately predict the suitability of the uterine environment for embryo implantation. It may serve as an auxiliary method for predicting endometrial receptivity in in vitro fertilization treatment.
REPRODUCTIVE BIOLOGY AND ENDOCRINOLOGY
(2023)
Review
Oncology
Vipul Bhardwaj, Arundhiti Sharma, Snijesh Valiya Parambath, Ijaz Gul, Xi Zhang, Peter E. Lobie, Peiwu Qin, Vijay Pandey
Summary: Endometrial cancer is a prevalent uterine cancer with poor therapeutic response. Computer-aided cancer surveillance systems and machine learning methods play important roles in the diagnosis, treatment, and prognosis of EC.
FRONTIERS IN ONCOLOGY
(2022)
Article
Food Science & Technology
Lyman K. Monroe, Duc P. Truong, Jacob C. Miner, Samantha H. Adikari, Zachary J. Sasiene, Paul W. Fenimore, Boian Alexandrov, Robert F. Williams, Hau B. Nguyen
Summary: Conotoxins are toxic peptides with rich disulfide bonds found in cone snail venom, which have a wide range of pathophysiological effects and potential therapeutic applications. However, the identification and characterization of conotoxin toxicities are difficult, costly, and time-consuming. Recent machine learning methods have improved the prediction of conotoxins, but they still face limitations due to the conformational flexibility and various disulfide bond patterns present in these peptides.
Article
Biology
Jiaoqi Wu, Xiaozhu Zhou, Jie Ren, Zhen Zhang, Haoyu Ju, Xiaoqi Diao, Shuyi Jiang, Jing Zhang
Summary: This study predicted the relationship between the expression of glycosyltransferase-related genes (GTs) and the diagnosis and prognosis of uterine corpus endometrial carcinoma (UCEC) using bioinformatics methods. Diagnostic and prognostic models were established based on the validated biomarkers, providing valuable tools for individualized and precision medicine in UCEC. The risk score was also found to be closely related to immune microenvironment, immune infiltration, mutation, immunotherapy, and chemotherapy.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Review
Radiology, Nuclear Medicine & Medical Imaging
Matan Kraus, Roi Anteby, Eli Konen, Iris Eshed, Eyal Klang
Summary: This systematic review and meta-analysis evaluated the use of artificial intelligence (AI) for detecting scaphoid fractures on X-rays. The results showed that AI demonstrated high diagnostic performance with high sensitivity and specificity.
EUROPEAN RADIOLOGY
(2023)
Review
Oncology
Jian Zhang, Shenglan Huang, Yongkang Xu, Jianbing Wu
Summary: This meta-analysis demonstrates the high diagnostic accuracy of non-deep learning and deep learning methods for MVI status prediction and their promising potential for clinical decision-making. Deep learning models perform better than non-deep learning models in terms of the accuracy of MVI prediction, methodology, and cost-effectiveness.
FRONTIERS IN ONCOLOGY
(2022)
Article
Oncology
Marta Lukasiewicz, Krzysztof Pastuszak, Sylwia Lapinska-Szumczyk, Robert Rozanski, Sjors G. J. G. In 't Veld, Michal Bienkowski, Tomasz Stokowy, Magdalena Ratajska, Myron G. Best, Thomas Wurdinger, Anna J. Zaczek, Anna Supernat, Jacek Jassem
Summary: The number of EC cases is increasing, and current diagnostic methods are not precise enough, leading to delayed diagnosis until after surgery. Liquid biopsy coupled with artificial intelligence may provide a solution, as shown in this study.
Article
Obstetrics & Gynecology
P. Diaz-Gimeno, P. Sebastian-Leon, J. M. Sanchez-Reyes, K. Spath, A. Aleman, C. Vidal, A. Devesa-Peiro, E. Labarta, I Sanchez-Ribas, M. Ferrando, G. Kohls, J. A. Garcia-Velasco, E. Seli, D. Wells, A. Pellicer
Summary: Multiple gene expression signature combinations can serve as biomarkers for endometrial dating, but their predictive performance is variable and depends on the number and identity of the genes included in the prediction model, the dataset characteristics and the technology employed for measuring gene expression.
HUMAN REPRODUCTION
(2022)
Review
Oncology
Andrea Romano, Tea Lanisnik Rizner, Henrica Maria Johanna Werner, Andrzej Semczuk, Camille Lowy, Christoph Schroeder, Anne Griesbeck, Jerzy Adamski, Dmytro Fishman, Janina Tokarz
Summary: Endometrial cancer, the most common gynaecological malignancy, has a high incidence and mortality rate in developed countries. There is a need for non/minimally invasive tools for diagnosis and prognosis to manage the increasing number of women at risk. Biomarkers from proteomics and metabolomics can be used to develop such tools, and this review explores the current research in this field. A systematic review of published studies using proteomics and/or metabolomics for biomarker discovery in endometrial cancer is provided, along with recommendations for future studies.
FRONTIERS IN ONCOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
You Won Lee, Jae Woo Choi, Eun-Hee Shin
Summary: Diagnosing parasitic diseases is challenging, but a machine learning model using patient information was constructed in this study for prediction. The model successfully diagnosed parasitic diseases and predicted proper diagnosis methods using two datasets extracted from PubMed abstracts. The study demonstrated gradient boosting with synthetic minority over-sampling technique as a promising tool for disease prediction and diagnosis method selection.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Chemistry, Physical
Huicui Chen, Wanchao Shan, Hongyang Liao, Yuxiang He, Tong Zhang, Pucheng Pei, Chenghao Deng, Jinrui Chen
Summary: This study establishes a three-dimensional model of proton exchange membrane fuel cell stack, and uses machine learning methods to predict voltage consistency, confirming the accuracy and universality of the method based on Gradient Boosting Decision Tree. It is found that current density has the greatest influence on the predicted value.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Computer Science, Information Systems
Iqra Mehmood, Sidra Shahid, Hameed Hussain, Inayat Khan, Shafiq Ahmad, Shahid Rahman, Najeeb Ullah, Shamsul Huda
Summary: In the software engineering community, defect prediction is an active domain that aims to reduce the gap between software engineering and data mining. Software defects prediction utilizes various methods such as clustering, statistical methods, and machine learning algorithms to identify potential errors in source code before testing. The main contribution of this research is the use of feature selection for the first time, enhancing the accuracy of machine learning classifiers in defect prediction. The objective is to improve the defect prediction accuracy in five NASA datasets by using feature selection techniques with machine learning algorithms, leading to higher accuracy compared to without feature selection.
Article
Medicine, General & Internal
Mario A. Martinez-Jimenez, Victor M. Loza-Gonzalez, E. Samuel Kolosovas-Machuca, Mercedes E. Yanes-Lane, Ana Sofia Ramirez-GarciaLuna, Jose L. Ramirez-GarciaLuna
Summary: This study indicates that temperature asymmetry between the lacrimal caruncles and the forehead can be an important indicator in the diagnosis of COVID-19 suspected cases, with potential clinical application value.
EUROPEAN JOURNAL OF CLINICAL INVESTIGATION
(2021)
Article
Obstetrics & Gynecology
Carlos Simon
Summary: The application of transcriptomics and 16S rRNA gene sequencing technologies provide important foundations for personalized reproductive care. These technologies accurately identify the receptive period of the maternal endometrium for embryo implantation, as well as the association between microbial colonization in the endometrium and reproductive outcomes.
REPRODUCTIVE BIOMEDICINE ONLINE
(2022)
Article
Microbiology
Inmaculada Moreno, Iolanda Garcia-Grau, David Perez-Villaroya, Marta Gonzalez-Monfort, Mustafa Bahceci, Marcelo J. Barrionuevo, Sagiri Taguchi, Elena Puente, Michael Dimattina, Mei Wei Lim, Georgina Meneghini, Mira Aubuchon, Mark Leondires, Alexandra Izquierdo, Martina Perez-Olgiati, Alejandro Chavez, Ken Seethram, Davide Bau, Carlos Gomez, Diana Valbuena, Felipe Vilella, Carlos Simon
Summary: The composition of the endometrial microbiota is associated with reproductive outcomes, and can serve as a useful biomarker for predicting reproductive outcome.
Article
Obstetrics & Gynecology
Cesar Diaz-Garcia, Sonia Herraiz, Loida Pamplona, Jessica Subira, Maria Jose Soriano, Carlos Simon, Emre Seli, Antonio Pellicer
Summary: Ovarian fragmentation for follicular activation increases antral follicle counts in women with poor ovarian response, but does not significantly modify in vitro fertilization outcomes.
FERTILITY AND STERILITY
(2022)
Article
Biochemistry & Molecular Biology
Alba Machado-Lopez, Roberto Alonso, Victor Lago, Jorge Jimenez-Almazan, Marta Garcia, Javier Monleon, Susana Lopez, Francisco Barcelo, Amparo Torroba, Sebastian Ortiz, Santiago Domingo, Carlos Simon, Aymara Mas
Summary: The absence of standardized molecular profiling to differentiate uterine leiomyosarcomas from leiomyomas is a current diagnostic challenge. In this study, artificial intelligence was used to search for a differential molecular signature for these myometrial tumors. Differential exome and transcriptome-wide research revealed higher tumor mutation burden in leiomyosarcomas compared to leiomyomas, as well as alterations in specific copy number variant regions and differentially expressed genes. A machine learning approach based on differentially expressed genes was developed to differentiate both tumor types with high sensitivity and specificity. These findings provide a novel molecular signature for the diagnosis of leiomyoma and leiomyosarcoma.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Letter
Obstetrics & Gynecology
Carlos Simon, Maria Ruiz-Alonso, Carlos Gomez, Diana Valbuena
FERTILITY AND STERILITY
(2023)
Review
Medicine, Research & Experimental
Javier Gonzalez Fernandez, Javier Moncayo Arlandi, Ana Ochando, Carlos Simon, Felipe Vilella
Summary: Embryo-maternal cross-talk is crucial for embryo development and implantation, involving secreted factors and extracellular vesicles (EVs). EV cargo influences target cells and prepares them for reproductive stages like embryo development and implantation. Recent research suggests that EVs and their cargo can be used as a powerful, non-invasive tool to assess the quality of embryos and maternal tissues in assisted reproduction treatments. This review focuses on intercellular cross-talk between embryos and maternal tissues, examining human biology and signaling mechanisms identified in animal models.
Article
Obstetrics & Gynecology
Stephanie Bissiere, Blake Hernandez, Carmen Rubio, Carlos Simon, Nicolas Plachta
Summary: Preimplantation development is the stage of human development that can be observed and studied in real time outside the body. This is possible because human embryos can be created using in vitro fertilization and cultured until the blastocyst stage. This article focuses on the cellular and morphogenetic processes that transform a 1-cell embryo into a blastocyst ready for implantation. While most of our understanding of preimplantation human development comes from studying mouse embryos, this article discusses the potential differences in humans and highlights new approaches for studying this process using noninvasive imaging and genetic technologies.
FERTILITY AND STERILITY
(2023)
Article
Obstetrics & Gynecology
Laura Girardi, Matteo Figliuzzi, Maurizio Poli, Munevver Serdarogullari, Cristina Patassini, Silvia Caroselli, Ilaria Pergher, Francesco Cogo, Onder Coban, Fazilet Kubra Boynukalin, Mustafa Bahceci, Roser Navarro, Carmen Rubio, Necati Findikli, Carlos Simon, Antonio Capalbo
Summary: How well can whole chromosome copy number analysis from a single trophectoderm biopsy predict true mosaicism configurations in human blastocysts? When a single trophectoderm biopsy is tested, wide mosaicism thresholds increase false positive calls compared to more stringent ones without improving true detection rate, while binary classification provides the highest diagnostic accuracy.
HUMAN REPRODUCTION
(2023)
Article
Obstetrics & Gynecology
S. Caroselli, M. Figliuzzi, L. Picchetta, F. Cogo, P. Zambon, I Pergher, L. Girardi, C. Patassini, M. Poli, D. Bakalova, D. Cimadomo, N. Findikli, O. Coban, M. Serdarogullari, F. Favero, S. Bortolato, A. Anastasi, F. Capodanno, A. Gallinelli, F. Brancati, L. Rienzi, F. M. Ubaldi, J. Jimenez-Almazan, D. Blesa-Jarque, J. Miravet-Valenciano, C. Rubio, C. Simon, A. Capalbo
Summary: This study developed an integrated genetic testing platform that accurately detects chromosomal abnormalities, including ploidy level and microdeletions, expanding the clinical utility of preimplantation genetic testing.
HUMAN REPRODUCTION
(2023)
Article
Cell Biology
Jose Ramon Hernandez Mora, Claudia Buhigas, Stephen Clark, Raquel Del Gallego Bonilla, Dagne Daskeviciute, Ana Monteagudo-Sanchez, Maria Eugenia Poo-Llanillo, Jose Vicente Medrano, Carlos Simon, Marcos Meseguer, Gavin Kelsey, David Monk
Summary: During pre-implantation stages, stored material in mammalian development promotes epigenetic profile erasure and genome activation. Through single-cell methylome and transcriptome sequencing, we analyzed the expression and methylation in oocytes and human embryos, identifying key events in epigenetic reprogramming and genome activation. Failure to achieve these milestones negatively impacts the developmental potential of embryos and may affect the success of assisted reproductive cycles.
Article
Biochemistry & Molecular Biology
Ana Domingo-Muelas, Robin M. Skory, Adam A. Moverley, Goli Ardestani, Oz Pomp, Carmen Rubio, Piotr Tetlak, Blake Hernandez, Eric A. Rhon-Calderon, Luis Navarro-Sanchez, Carmen M. Garcia-Pascual, Stephanie Bissiere, Marisa S. Bartolomei, Denny Sakkas, Carlos Simon, Nicolas Plachta
Summary: Combining fluorescent dyes with live imaging, this study reveals the dynamics of early development in human embryos, including chromosome segregation, compaction, polarization, blastocyst formation, and hatching. The study also shows that blastocyst expansion mechanically affects trophectoderm cells, causing nuclear budding and DNA shedding into the cytoplasm. Moreover, the study suggests that aneuploidies in human embryos may not only result from chromosome segregation errors during mitosis, but also from nuclear DNA shedding.
Article
Environmental Sciences
Roberto Gonzalez-Martin, Maria Grau-Perez, Patricia Sebastian-Leon, Patricia Diaz-Gimeno, Carmen Vidal, Maria Tellez-Plaza, Francisco Dominguez
Summary: Cadmium and lead exposure can affect hormonally regulated processes and increase reproductive lifespan and prevalence of pregnancy loss in post-menopausal women. This study evaluated the association between blood cadmium and lead levels with reproductive lifespan and personal history of pregnancy loss in a sample of 5317 post-menopausal women. The results showed that higher blood cadmium and lead levels were associated with longer reproductive lifespan and increased prevalence of pregnancy loss, especially in smokers.
ENVIRONMENTAL RESEARCH
(2023)
Article
Urology & Nephrology
Sarah Kimmins, Richard A. Anderson, Christopher L. R. Barratt, Hermann M. Behre, Sarah R. Catford, Christopher J. De Jonge, Geraldine Delbes, Michael L. Eisenberg, Nicolas Garrido, Brendan J. Houston, Niels Jorgensen, Csilla Krausz, Ariane Lismer, Robert I. Mclachlan, Suks Minhas, Tim Moss, Allan Pacey, Laerke Priskorn, Stefan Schlatt, Jacquetta Trasler, Leonardo Trasande, Frank Tuettelmann, Monica Hebe Vazquez-Levin, Joris A. Veltman, Feng Zhang, Moira K. O'Bryan
Summary: Currently, there is a lack of understanding and awareness about the causes of male infertility and the importance of male reproductive health. This leads to standardized treatment strategies using medically assisted reproduction techniques, which overlook the potential co-morbidities and shift the burden to women. To improve male reproductive health, it is essential to establish centers for data and sample collection and study the effects of genetics, epigenetics, and environment on fertility and offspring health. Personalized treatment protocols should be developed and education about infertility should be increased.
NATURE REVIEWS UROLOGY
(2023)
Review
Physiology
Inmaculada Moreno, Antonio Capalbo, Aymara Mas, Tamara Garrido-Gomez, Beatriz Roson, Maurizio Poli, Eva Dimitriadis, Xavier Santamaria, Felipe Vilella, Carlos Simon
Summary: Pregnancy is established during the periconceptional period from blastocyst attachment to placenta formation, significantly impacting the health of both the child and the mother. Advances in understanding the periconceptional space, including the preimplantation human embryo and maternal endometrium, offer opportunities for preventative interventions. This review discusses the role of maternal decidua, the maternal-embryonic interface, the endometrial microbiome, and the myometrium in pregnancy health during the periconceptional period.
PHYSIOLOGICAL REVIEWS
(2023)
Article
Endocrinology & Metabolism
Antonio Parraga-Leo, Patricia Sebastian-Leon, Almudena Devesa-Peiro, Diana Marti-Garcia, Nuria Pellicer, Jose Remohi, Francisco Dominguez, Patricia Diaz-Gimeno
Summary: This study reveals novel hormonal and non-hormonal regulators and their relative contributions to endometrial progression and pathology, providing new leads for the potential causes of endometrial-factor infertility.
REPRODUCTIVE BIOLOGY AND ENDOCRINOLOGY
(2023)
