keyword
https://read.qxmd.com/read/38652822/using-machine-learning-to-construct-the-blood-follicle-distribution-models-of-various-trace-elements-and-explore-the-transport-related-pathways-with-multiomics-data
#1
JOURNAL ARTICLE
Guohuan Zhang, Weinan Lin, Ning Gao, Changxin Lan, Mengyuan Ren, Lailai Yan, Bo Pan, Jia Xu, Bin Han, Ligang Hu, Yuanchen Chen, Tianxiang Wu, Lili Zhuang, Qun Lu, Bin Wang, Mingliang Fang
Permeabilities of various trace elements (TEs) through the blood-follicle barrier (BFB) play an important role in oocyte development. However, it has not been comprehensively described as well as its involved biological pathways. Our study aimed to construct a blood-follicle distribution model of the concerned TEs and explore their related biological pathways. We finally included a total of 168 women from a cohort of in vitro fertilization-embryo transfer conducted in two reproductive centers in Beijing City and Shandong Province, China...
April 23, 2024: Environmental Science & Technology
https://read.qxmd.com/read/38652722/identification-of-predictive-patient-characteristics-for-assessing-the-probability-of-covid-19-in-hospital-mortality
#2
JOURNAL ARTICLE
Bartek Rajwa, Md Mobasshir Arshed Naved, Mohammad Adibuzzaman, Ananth Y Grama, Babar A Khan, M Murat Dundar, Jean-Christophe Rochet
As the world emerges from the COVID-19 pandemic, there is an urgent need to understand patient factors that may be used to predict the occurrence of severe cases and patient mortality. Approximately 20% of SARS-CoV-2 infections lead to acute respiratory distress syndrome caused by the harmful actions of inflammatory mediators. Patients with severe COVID-19 are often afflicted with neurologic symptoms, and individuals with pre-existing neurodegenerative disease have an increased risk of severe COVID-19. Although collectively, these observations point to a bidirectional relationship between severe COVID-19 and neurologic disorders, little is known about the underlying mechanisms...
April 2024: PLOS Digit Health
https://read.qxmd.com/read/38652712/hgclamir-hypergraph-contrastive-learning-with-attention-mechanism-and-integrated-multi-view-representation-for-predicting-mirna-disease-associations
#3
JOURNAL ARTICLE
Dong Ouyang, Yong Liang, Jinfeng Wang, Le Li, Ning Ai, Junning Feng, Shanghui Lu, Shuilin Liao, Xiaoying Liu, Shengli Xie
Existing studies have shown that the abnormal expression of microRNAs (miRNAs) usually leads to the occurrence and development of human diseases. Identifying disease-related miRNAs contributes to studying the pathogenesis of diseases at the molecular level. As traditional biological experiments are time-consuming and expensive, computational methods have been used as an effective complement to infer the potential associations between miRNAs and diseases. However, most of the existing computational methods still face three main challenges: (i) learning of high-order relations; (ii) insufficient representation learning ability; (iii) importance learning and integration of multi-view embedding representation...
April 2024: PLoS Computational Biology
https://read.qxmd.com/read/38652708/activities-of-daily-living-self-efficacy-and-motor-skill-related-fitness-and-the-interrelation-in-children-with-moderate-and-severe-developmental-coordination-disorder
#4
JOURNAL ARTICLE
Faiçal Farhat, Marisja Denysschen, Nourhen Mezghani, Mohamed Moncef Kammoun, Adnene Gharbi, Haithem Rebai, Wassim Moalla, Bouwien Smits-Engelsman
BACKGROUND: Children with Developmental Coordination Disorder (DCD) are diagnosed based on poor motor skills that impact their daily activities. However, this may also lead to lower predilection and participation in physical activities and a higher risk to develop health problems. OBJECTIVE: To determine motor skill related levels in children with moderate and severe DCD and compare that to typically developing children (TD). The study also aimed to determine the level of activities of daily living (ADL) as reported by their parent and self-efficacy as reported by the children...
2024: PloS One
https://read.qxmd.com/read/38652675/the-formation-of-negative-attitudes-toward-novel-groups
#5
JOURNAL ARTICLE
Johanna Woitzel, Hans Alves
People perceive out-groups, minorities, and novel groups more negatively than in-groups, majorities, and familiar groups. Previous research has argued that such intergroup biases may be caused by the order in which people typically encounter social groups. Groups that are relatively novel to perceivers (e.g., out-groups, minorities) are primarily associated with distinct attributes that differentiate them from familiar groups. Because distinct attributes are typically negative, attitudes toward novel groups are negatively biased...
April 23, 2024: Psychological Science
https://read.qxmd.com/read/38652560/relocating-coincidence-detection-for-associative-learning
#6
JOURNAL ARTICLE
Katharina Bergmann, Andrew C Lin
No abstract text is available yet for this article.
April 23, 2024: Journal of Physiology
https://read.qxmd.com/read/38652526/leveraging-ai-and-machine-learning-to-develop-and-evaluate-a-contextualized-user-friendly-cough-audio-classifier-for-detecting-respiratory-diseases-protocol-for-a-diagnostic-study-in-rural-tanzania
#7
JOURNAL ARTICLE
Kahabi Ganka Isangula, Rogers John Haule
BACKGROUND: Respiratory diseases, including active tuberculosis (TB), asthma, and chronic obstructive pulmonary disease (COPD), constitute substantial global health challenges, necessitating timely and accurate diagnosis for effective treatment and management. OBJECTIVE: This research seeks to develop and evaluate a noninvasive user-friendly artificial intelligence (AI)-powered cough audio classifier for detecting these respiratory conditions in rural Tanzania. METHODS: This is a nonexperimental cross-sectional research with the primary objective of collection and analysis of cough sounds from patients with active TB, asthma, and COPD in outpatient clinics to generate and evaluate a noninvasive cough audio classifier...
April 23, 2024: JMIR Research Protocols
https://read.qxmd.com/read/38652302/recurrent-involuntary-memories-and-mind-wandering-are-related-but-distinct
#8
JOURNAL ARTICLE
Ryan C Yeung, Myra A Fernandes
Spontaneous thought is common in daily life, and includes recurrent involuntary autobiographical memories (IAMs; memories retrieved unintentionally and repetitively) and mind wandering (MW). Both recurrent IAMs and MW are often unintentional or unconstrained, and both predict symptoms of mental health disorders. However, not all MW is unintentional, and not all IAMs are unconstrained. To what extent do recurrent IAMs and MW converge versus diverge? Undergraduates (N = 2,701) completed self-report measures of recurrent IAMs, trait MW, and psychopathology (i...
April 23, 2024: Psychological Research
https://read.qxmd.com/read/38652116/rapid-discrimination-of-four-salmonella-enterica-serovars-a-performance-comparison-between-benchtop-and-handheld-raman-spectrometers
#9
COMPARATIVE STUDY
Quan Yuan, Bin Gu, Wei Liu, Xin-Ru Wen, Ji-Liang Wang, Jia-Wei Tang, Muhammad Usman, Su-Ling Liu, Yu-Rong Tang, Liang Wang
Foodborne illnesses, particularly those caused by Salmonella enterica with its extensive array of over 2600 serovars, present a significant public health challenge. Therefore, prompt and precise identification of S. enterica serovars is essential for clinical relevance, which facilitates the understanding of S. enterica transmission routes and the determination of outbreak sources. Classical serotyping methods via molecular subtyping and genomic markers currently suffer from various limitations, such as labour intensiveness, time consumption, etc...
April 2024: Journal of Cellular and Molecular Medicine
https://read.qxmd.com/read/38652067/machine-learning-based-perivascular-space-volumetry-in-alzheimer-disease
#10
JOURNAL ARTICLE
Katerina Deike, Andreas Decker, Paul Scheyhing, Julia Harten, Nadine Zimmermann, Daniel Paech, Oliver Peters, Silka D Freiesleben, Luisa-Sophie Schneider, Lukas Preis, Josef Priller, Eike Spruth, Slawek Altenstein, Andrea Lohse, Klaus Fliessbach, Okka Kimmich, Jens Wiltfang, Claudia Bartels, Niels Hansen, Frank Jessen, Ayda Rostamzadeh, Emrah Düzel, Wenzel Glanz, Enise I Incesoy, Michaela Butryn, Katharina Buerger, Daniel Janowitz, Michael Ewers, Robert Perneczky, Boris-Stephan Rauchmann, Stefan Teipel, Ingo Kilimann, Doreen Goerss, Christoph Laske, Matthias H Munk, Annika Spottke, Nina Roy, Michael Wagner, Sandra Roeske, Michael T Heneka, Frederic Brosseron, Alfredo Ramirez, Laura Dobisch, Steffen Wolfsgruber, Luca Kleineidam, Renat Yakupov, Melina Stark, Matthias C Schmid, Moritz Berger, Stefan Hetzer, Peter Dechent, Klaus Scheffler, Gabor C Petzold, Anja Schneider, Alexander Effland, Alexander Radbruch
OBJECTIVES: Impaired perivascular clearance has been suggested as a contributing factor to the pathogenesis of Alzheimer disease (AD). However, it remains unresolved when the anatomy of the perivascular space (PVS) is altered during AD progression. Therefore, this study investigates the association between PVS volume and AD progression in cognitively unimpaired (CU) individuals, both with and without subjective cognitive decline (SCD), and in those clinically diagnosed with mild cognitive impairment (MCI) or mild AD...
April 23, 2024: Investigative Radiology
https://read.qxmd.com/read/38652057/state-of-the-science-prolonged-exposure-therapy-for-the-treatment-of-posttraumatic-stress-disorder
#11
JOURNAL ARTICLE
Carmen P McLean, Edna B Foa
Prolonged exposure therapy (PE) is a well-established first-line treatment for posttraumatic stress disorder (PTSD) that is based on emotional processing theory. PE has been rigorously evaluated and tested in a large number of clinical trials in many countries covering a wide range of trauma populations. In this review, we summarize the evidence base supporting the efficacy of PE across populations, including adults with sexual assault-related PTSD and mixed trauma-related PTSD, military populations, and adolescents...
April 23, 2024: Journal of Traumatic Stress
https://read.qxmd.com/read/38652028/us-based-sequential-algorithm-integrating-an-ai-model-for-advanced-liver-fibrosis-screening
#12
JOURNAL ARTICLE
Li-Da Chen, Ze-Rong Huang, Hong Yang, Mei-Qing Cheng, Hang-Tong Hu, Xiao-Zhou Lu, Ming-De Li, Rui-Fang Lu, Dan-Ni He, Peng Lin, Qiu-Ping Ma, Hui Huang, Si-Min Ruan, Wei-Ping Ke, Bing Liao, Bi-Hui Zhong, Jie Ren, Ming-De Lu, Xiao-Yan Xie, Wei Wang
Background Noninvasive tests can be used to screen patients with chronic liver disease for advanced liver fibrosis; however, the use of single tests may not be adequate. Purpose To construct sequential clinical algorithms that include a US deep learning (DL) model and compare their ability to predict advanced liver fibrosis with that of other noninvasive tests. Materials and Methods This retrospective study included adult patients with a history of chronic liver disease or unexplained abnormal liver function test results who underwent B-mode US of the liver between January 2014 and September 2022 at three health care facilities...
April 2024: Radiology
https://read.qxmd.com/read/38651979/prior-cocaine-self-administration-does-not-impair-the-ability-to-delay-gratification-in-rats-during-diminishing-returns
#13
JOURNAL ARTICLE
H J Pribut, N Kang, Matthew R Roesch
Previous exposure to drugs of abuse produces impairments in studies of reversal learning, delay discounting and response inhibition tasks. While these studies contribute to the understanding of normal decision-making and how it is impaired by drugs of abuse, they do not fully capture how decision-making impacts the ability to delay gratification for greater long-term benefit. To address this issue, we used a diminishing returns task to study decision-making in rats that had previously self-administered cocaine...
April 24, 2024: Behavioural Pharmacology
https://read.qxmd.com/read/38651936/a-machine-learning-approach-for-predicting-textbook-outcome-after-cytoreductive-surgery-and-hyperthermic-intraperitoneal-chemotherapy
#14
JOURNAL ARTICLE
Amir Ashraf Ganjouei, Fernanda Romero-Hernandez, Jaeyun Jane Wang, Ahmed Hamed, Ahmed Alaa, David Bartlett, Adnan Alseidi, Mohammad Haroon Choudry, Mohamed Adam
INTRODUCTION: Peritoneal carcinomatosis is considered a late-stage manifestation of neoplastic diseases. Cytoreductive surgery with hyperthermic intraperitoneal chemotherapy (CRS-HIPEC) can be an effective treatment for these patients. However, the procedure is associated with significant morbidity. Our aim was to develop a machine learning model to predict the probability of achieving textbook outcome (TO) after CRS-HIPEC using only preoperatively known variables. METHODS: Adult patients with peritoneal carcinomatosis and who underwent CRS-HIPEC were included from a large, single-center, prospectively maintained dataset (2001-2020)...
April 23, 2024: World Journal of Surgery
https://read.qxmd.com/read/38651791/appraisal-of-the-iadt-fellowship-a-member-survey
#15
JOURNAL ARTICLE
Juan Onetto, Michal Sobczak, Tony Skapetis, Bill Kahler, Olga Tishkina, Geertje Van Gorp, Anne C O'Connell
BACKGROUND/AIM: The International Association of Dental Traumatology (IADT) is considered the foremost authority in Dental Traumatology. Fellowship status was introduced in 2015 and is considered an international standard of excellence. The Fellowship Committee of the IADT believed it was essential to survey members seeking information on the benefits of the IADT Fellowship and potential considerations for future development. This survey aimed to explore the perceptions of members of IADT surrounding the fellowship process in terms of interest, accessibility, equality, perceived prestige, and value to the membership...
April 23, 2024: Dental Traumatology: Official Publication of International Association for Dental Traumatology
https://read.qxmd.com/read/38651783/vein-segmentation-and-visualization-of-upper-and-lower-extremities-using-convolution-neural-network
#16
JOURNAL ARTICLE
Amit Laddi, Shivalika Goyal, Himani, Ajay Savlania
OBJECTIVES: The study focused on developing a reliable real-time venous localization, identification, and visualization framework based upon deep learning (DL) self-parametrized Convolution Neural Network (CNN) algorithm for segmentation of the venous map for both lower and upper limb dataset acquired under unconstrained conditions using near-infrared (NIR) imaging setup, specifically to assist vascular surgeons during venipuncture, vascular surgeries, or Chronic Venous Disease (CVD) treatments...
April 24, 2024: Biomedizinische Technik. Biomedical Engineering
https://read.qxmd.com/read/38651678/physician-educators-perceptions-of-experiences-contributing-to-teaching
#17
JOURNAL ARTICLE
TingLan Ma, Joseph A Costello, Ting Dong, Steven J Durning, Lauren A Maggio
INTRODUCTION: Physician educators are essential in training the next generation of physicians. However, physician educators' perspectives about what experiences they find beneficial to their teaching and the prevalence of these experiences remain unknown. Guided by social cognitive career theory (SCCT) and communities of practice (CoP), we explored what experiences physician educators perceive as beneficial in preparing them to teach. METHODS: In 2019, the Uniformed Services University School of Medicine in the United States surveyed its physician alumni to understand their education experiences during medical school, their current career path and what has contributed to their teaching role...
April 23, 2024: Clinical Teacher
https://read.qxmd.com/read/38651566/predictive-processing-of-music-and-language-in-autism-evidence-from-mandarin-and-english-speakers
#18
JOURNAL ARTICLE
Chen Zhao, Jia Hoong Ong, Anamarija Veic, Aniruddh D Patel, Cunmei Jiang, Allison R Fogel, Li Wang, Qingqi Hou, Dipsikha Das, Cara Crasto, Bhismadev Chakrabarti, Tim I Williams, Ariadne Loutrari, Fang Liu
Atypical predictive processing has been associated with autism across multiple domains, based mainly on artificial antecedents and consequents. As structured sequences where expectations derive from implicit learning of combinatorial principles, language and music provide naturalistic stimuli for investigating predictive processing. In this study, we matched melodic and sentence stimuli in cloze probabilities and examined musical and linguistic prediction in Mandarin- (Experiment 1) and English-speaking (Experiment 2) autistic and non-autistic individuals using both production and perception tasks...
April 23, 2024: Autism Research: Official Journal of the International Society for Autism Research
https://read.qxmd.com/read/38651539/length-of-stay-prediction-models-for-oral-cancer-surgery-machine-learning-statistical-and-acs-nsqip
#19
JOURNAL ARTICLE
Amirpouyan Namavarian, Alexander Gabinet-Equihua, Yangqing Deng, Shuja Khalid, Hedyeh Ziai, Konrado Deutsch, Jingyue Huang, Ralph W Gilbert, David P Goldstein, Christopher M K L Yao, Jonathan C Irish, Danny J Enepekides, Kevin M Higgins, Frank Rudzicz, Antoine Eskander, Wei Xu, John R de Almeida
OBJECTIVE: Accurate prediction of hospital length of stay (LOS) following surgical management of oral cavity cancer (OCC) may be associated with improved patient counseling, hospital resource utilization and cost. The objective of this study was to compare the performance of statistical models, a machine learning (ML) model, and The American College of Surgeons National Surgical Quality Improvement Program's (ACS-NSQIP) calculator in predicting LOS following surgery for OCC. MATERIALS AND METHODS: A retrospective multicenter database study was performed at two major academic head and neck cancer centers...
April 23, 2024: Laryngoscope
https://read.qxmd.com/read/38651390/no-benefit-in-memory-performance-after-nocturnal-memory-reactivation-coupled-with-theta-tacs
#20
JOURNAL ARTICLE
Sandrine Baselgia, Florian H Kasten, Christoph S Herrmann, Björn Rasch, Sven Paβmann
Targeted memory reactivation (TMR) is an effective technique to enhance sleep-associated memory consolidation. The successful reactivation of memories by external reminder cues is typically accompanied by an event-related increase in theta oscillations, preceding better memory recall after sleep. However, it remains unclear whether the increase in theta oscillations is a causal factor or an epiphenomenon of successful TMR. Here, we used transcranial alternating current stimulation (tACS) to examine the causal role of theta oscillations for TMR during non-rapid eye movement (non-REM) sleep...
March 25, 2024: Clocks & Sleep
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