Predictive modelling and identification of critical variables of mortality risk in COVID-19 patients by Olawande Daramola, Tatenda Duncan Kavu, Maritha J. Kotze, Jeanine L. Marnewick, Oluwafemi A. Sarumi, Boniface Kabaso, Thomas Moser, Karl Stroetmann, Isaac Fwemba, Fisayo Daramola, Martha Nyirenda, Susan J. van Rensburg, Peter S. Nyasulu

“…Aside from clinical methods, artificial intelligence (AI)-based solutions such as machine learning (ML) models have been employed in treating COVID-19 cases. …”
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Federally qualified health center patients’ experiences with remote patient monitoring as part of telehealth services for self-measured blood pressure monitoring by Natalia I. Heredia, Maria E. Fernandez, Ella R. Garza, Jabria Pittman, Fernanda Velasco-Huerta, Tracy L. Judd, Jocelyn Hunyadi, Elvis Longanga Diese, Deevakar Rogith, William B. Perkison, Susan H. Fenton

“…Three themes emerged from open-ended data: perceived ease of learning and using mobile patient portal for SMBP, perceived benefits of using mobile patient portal for SMBP, and intentions to continue using the mobile patient portal for SMBP. …”
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Predictive role of SLC1A5 in neuroblastoma prognosis and immunotherapy by Jian Cheng, Miaomiao Sun, Xiao Dong, Yang Yang, Xiaohan Qin, Xing Zhou, Yongcheng Fu, Yuanyuan Wang, Jingyue Wang, Da Zhang

“…A prognostic signature, SRPS, was constructed and validated using machine-learning approaches. Immune infiltration analysis was performed to evaluate the tumor immune microenvironment. …”
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Implementation of prehospital point-of-care ultrasound using a novel continuous feedback approach in a UK helicopter emergency medical service by Salman Naeem, Shadman Aziz, Thomas Hirst, Johannes Strobel, Jamin M. Mulvey, Ailidh Lang, Jankee Patel, Alexander Smith, Ka Jun Cheng, Michael Palmer, Jonas Schlautmann, Michael D. Christian, Daniel Nevin

“…They were graded in adequacy, agreement between reviewer and clinician was recorded and fed back to the clinicians allowing continuous feedback learning. In-hospital diagnosis was sought for patients having the full Pump, Pleura and Pouring blood (PPPB) protocol. …”
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Multicultural values: meeting point of two forces in developing Islamic education by Dwi Mariyono

“…This integration creates an inclusive learning environment conducive to the development of entrepreneurial skills, innovation and ethical leadership. …”
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Multilevel determinants of racial/ethnic disparities in severe maternal morbidity and mortality in the context of the COVID-19 pandemic in the USA: protocol for a concurrent triang... by Bankole Olatosi, Jiajia Zhang, Xiaoming Li, Chen Liang, Jihong Liu, Peiyin Hung, Shan Qiao, Berry A Campbell, Myriam E Torres, Neset Hikmet

“…Non-Hispanic black and Hispanic pregnant women appear to have disproportionate SARS-CoV-2 infection and death rates.Methods and analysis We will use the socioecological framework and employ a concurrent triangulation, mixed-methods study design to achieve three specific aims: (1) examine the impacts of the COVID-19 pandemic on racial/ethnic disparities in severe maternal morbidity and mortality (SMMM); (2) explore how social contexts (eg, racial/ethnic residential segregation) have contributed to the widening of racial/ethnic disparities in SMMM during the pandemic and identify distinct mediating pathways through maternity care and mental health; and (3) determine the role of social contextual factors on racial/ethnic disparities in pregnancy-related morbidities using machine learning algorithms. We will leverage an existing South Carolina COVID-19 Cohort by creating a pregnancy cohort that links COVID-19 testing data, electronic health records (EHRs), vital records data, healthcare utilisation data and billing data for all births in South Carolina (SC) between 2018 and 2021 (>200 000 births). …”
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ANN-based two hidden layers computational procedure for analysis of heat transport dynamics in polymer-based trihybrid Carreau nanofluid flow over needle geometry by Adil Darvesh, Fethi Mohamed Maiz, Basma Souayeh, Luis Jaime Collantes Santisteban, Hakim AL. Garalleh, Afnan Al Agha, Lucerito Katherine Ortiz García, Nicole Anarella Sánchez-Miranda

“…Their advantages in handling nonlinearities and modeling high-dimensional data through integrating physical laws make them far superior to simpler machine learning and other traditional techniques, despite requiring greater data and computational resources. …”
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Factors and Reasons Associated with Hesitating to Seek Care for Migraine: Results of the OVERCOME (US) Study by Robert E. Shapiro, Eva Jolanda Muenzel, Robert A. Nicholson, Anthony J. Zagar, Michael L. Reed, Dawn C. Buse, Susan Hutchinson, Sait Ashina, Eric M. Pearlman, Richard B. Lipton

“…Methods The web-based OVERCOME (US) survey study identified adults with active migraine in a demographically representative US sample who answered questions about hesitating to seek care from a healthcare provider for migraine and reasons for hesitating. Supervised machine learning (random forest, least absolute shrinkage and selection operator) identified factors associated with hesitation; logistic regression models assessed association of factors on hesitation. …”
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Gambaran Pengetahuan dan Sikap Mahasiswa Fakultas Kedokteran Universitas Andalas tentang Rokok by Yosantaraputra ., Yanwirasti ., Abdiana .

“…From these resultsit can be concluded that the knowledge of students of the Faculty of Medicine, University of Andalas in average category and attitude of students of the Facultyof Medicine, University of Andalas are ingood category.It is recommended to students of the Faculty of Medicine, University of Andalas in order tofind out about nicotine and consequently independently in accordance with the PBL learning systems, as well as the enactment ofsmoke-fre elegislation in the Faculty of Medicine, University ofAndalas.…”
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Characteristics and outcomes of women using emergency medical services for third-trimester pregnancy-related problems in India: a prospective observational study by Jennifer A Newberry, Corey B Bills, Elizabeth A Pirrotta, Matthew C Strehlow, G V Ramana Rao, Hyeyoun (Elise) Min, Ann E Evensen, Lawrence Leeman, S V Mahadevan

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Identification of Health Needs in Ukrainian Refugees Seen in a Primary Care Facility in Tenerife, Spain by Willian-Jesús Martín-Dorta, Cristo-Manuel Marrero-González, Eva-Lourdes Díaz-Hernández, Pedro-Ruymán Brito-Brito, Domingo-Ángel Fernández-Gutiérrez, Oxana-Migalievna Rebryk-De Colichón, Ana-Isabel Martín-García, Estrella Pavés-Lorenzo, María-Candelaria Rodríguez-Santos, Juan-Francisco García-Cabrera, Janet Núnez-Marrero, Alfonso-Miguel García-Hernández

“…The primary social demands include seeking employment, learning the language, and increasing support groups among Ukrainians themselves. …”
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Development of an Efficient and Generalized MTSCAM Model to Predict Liquid Chromatography Retention Times of Organic Compounds by Mengdie Fan, Chenhui Sang, Hua Li, Yue Wei, Bin Zhang, Yang Xing, Jing Zhang, Jie Yin, Wei An, Bing Shao

“…Traditional retention time approaches heavily rely on the use of standard compounds, which is limited by the speed of synthesis and manufacture of standard products, and is time-consuming and labor-intensive. Recently, machine learning and artificial intelligence algorithms have been applied to retention time prediction, which show unparalleled advantages over traditional experimental methods. …”
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Роль искусственного интеллекта в прогнозировании трудных дыхательных путей у взрослых: обзор литературы... by Андрей Юрьевич Зайцев, А. Б. Сорокин, Ю. А. Зайцев, К. В. Дубровин, Э. Г. Усикян

“…Поисковыми словами для англоязычных баз данных были artificial intelligence, deep learning, difficult airways; для русскоязычных — искусственный интеллект, глубокое машинное обучение, трудные дыхательные пути. …”
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CEST imaging combined with 1H-MRS reveal the neuroprotective effects of riluzole by improving neurotransmitter imbalances in Alzheimer’s disease mice by Yuanyu Shen, Xiaolei Zhang, Siqi Liu, Lijing Xin, Wentao Xuan, Caiyu Zhuang, Yue Chen, Beibei Chen, Xinhui Zheng, Renhua Wu, Yan Lin

“…Results GluCEST, GABACEST and 1H-MRS consistently revealed higher levels of Glu and GABA in the brain of riluzole-treated AD mice compared to untreated controls, which were associated with improvements in spatial learning and memory. The cognitive improvements significantly correlated with the increased GluCEST signals and Glu levels. …”
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Use of artificial intelligence for gestational age estimation: a systematic review and meta-analysis by Sabahat Naz, Sahir Noorani, Syed Ali Jaffar Zaidi, Abdu R. Rahman, Saima Sattar, Jai K. Das, Jai K. Das, Zahra Hoodbhoy

“…In studies using deep learning for 2D images, those employing CNN reported a mean error of 5.11 days (95% CI: 1.85, 8.37) in gestational age estimation, while one using DNN indicated a mean error of 5.39 days (95% CI: 5.10, 5.68). …”
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A PEDAGOGIA DA ALTERNÂNCIA COMO PROPOSTA DE EDUCAÇÃO NO CAMPO: UM ESTUDO NA ESCOLA FAMÍLIA AGRÍCOLA ITAPIREMA EM RONDÔNIA, BRASIL by Claudineia Ferreira dos Santos, Charles Carminati de Lima, Yanet Reimondo Barrios, Daniete Fernandes Rocha

“…It was found that the teaching and learning relationship among teachers and students of the EFA is based on four pillars: Integral Education, Alternation Pedagogy, Social Inclusion and Associativism. …”
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End-to-End Stroke Imaging Analysis Using Effective Connectivity and Interpretable Artificial Intelligence by Wojciech Ciezobka, Joan Falco-Roget, Cemal Koba, Alessandro Crimi

“…Our proposed machine learning pipeline showcases the potential of reservoir computing to define causality and therefore directed graph networks, which can in turn be used in a directed graph classifier and explainable analysis of neuroimaging data. …”
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Baseline liver fibrosis-4 score correlates to the progression of anxiety and cognitive impairment in patients with Parkinson’s disease by Yongqing Cheng, Yongqing Cheng, Li Chen, Honghong Zhu, Yingchao Ge, Lei Li, Yan Guo, Xin Wang, Shuangfei You, Guojun He, Shouru Xue

“…Differences in the progression of clinical scales over five years were compared using generalized linear mixed models (GLMM).ResultsBaseline FIB-4 levels positively correlated to scores of baseline section III of the Unified-Parkinson Disease Rating Scale (UPDRS III) (r = 0.145, p = 0.017), Epworth Sleepiness Scale (EPSS) (r = 0.140, P = 0.022), Hopkins Verbal Learning Test (HVLT)-delayed recall (r = 0.128, P = 0.036) and HVLT-retention (r = 0.128, p = 0.036). …”
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Call to Action: Lead Pharmacy into the Next Decade by Kerry K Fierke, Gardner Lepp, Bridget McGugan, Marta Brooks, Gregory Zumach

“…Currents in Pharmacy Teaching and Learning, 2021;13(10): 1259-1260. • Kouzes, JM, & Posner, BZ. …”
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Development and validation of an integrated model for the diagnosis of liver cirrhosis with portal vein thrombosis combined with endoscopic characters and blood biochemistry data:... by Jie Yang, Xu Zhang, Jia Chen, Xianghong Hou, Minghong Shi, Longlong Yin, Longchun Hua, Cheng Wang, Xiaolong Han, Shuyan Zhao, Guolan Kang, Ping Mai, Rui Jiang, Hongwei Tian

“…Variables were collected from blood test and endoscopic signs using machine learning method (ML). Logistic regression determined risk factors. …”
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