Identification of FDFT1 and PGRMC1 as New Biomarkers in Nonalcoholic Steatohepatitis (NASH)-Related Hepatocellular Carcinoma by Deep Learning by Liu Q, Yang Y, Wang Y, Wei S, Yang L, Liu T, Yu Z, Feng Y, Yao P, Zhu Q

“…Real-time quantitative PCR was used to validate the expression of feature genes in the NAFLD mice model. …”
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Development of an artificial intelligence-based application for the diagnosis of sarcopenia: a retrospective cohort study using the health examination dataset by Chang-Won Jeong, Dong-Wook Lim, Si-Hyeong Noh, Sung Hyun Lee, Chul Park

“…Conclusion This AI-based web application addresses the limitations of previous diagnostic techniques by automatically analyzing medical images for the classification, segmentation, and calculation of T-scores. …”
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Organization of Distance Learning in School, College, University by N. V. Nikulicheva, O. I. Dyakova, O. S. Glukhovskaya

“…Most lecturers try to transfer all the elements of the full-time learning system to the distance learning system automatically when changing the form of training, which is basically impossible when changing the environment. …”
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Early peripapillary neurovascular injury and its relevant systemic factors in type 2 diabetic patients without retinopathy: An OCTA based study by Haochen Jin, Kaiyue Wang, Changhong Ren, Shan He, Yuan Gao, Xiaofang Liang, Xuxiang Zhang

“…Retinal microvascular and microstructural networks were visualized using spectral domain optical coherence tomography angiography. Quantitative analysis of radial peripapillary capillary (RPC) density and peripapillary retinal nerve fiber layer (p-RNFL) thickness was automatically performed using the device's software, with segmentation of retinal regions into intra-optic disc and peripapillary zones. …”
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Predicting PD-L1 status in NSCLC patients using deep learning radiomics based on CT images by Jiameng Lu, Xinyi Liu, Xiaoqing Ji, Yunxiu Jiang, Anli Zuo, Zihan Guo, Shuran Yang, Haiying Peng, Fei Sun, Degan Lu

“…Abstract Radiomics refers to the utilization of automated or semi-automated techniques to extract and analyze numerous quantitative features from medical images, such as computerized tomography (CT) or magnetic resonance imaging (MRI) scans. …”
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Automated quantification of T1 and T2 relaxation times in liver mpMRI using deep learning: a sequence-adaptive approach by Lukas Zbinden, Samuel Erb, Damiano Catucci, Lars Doorenbos, Leona Hulbert, Annalisa Berzigotti, Michael Brönimann, Lukas Ebner, Andreas Christe, Verena Carola Obmann, Raphael Sznitman, Adrian Thomas Huber

“…Key Points A deep learning-based algorithm automatically quantified segmental T1 and T2 relaxation times in liver mpMRI. …”
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Reliability of multi-site UK Biobank MRI brain phenotypes for the assessment of neuropsychiatric complications of SARS-CoV-2 infection: The COVID-CNS travelling heads study. by Eugene Duff, Fernando Zelaya, Fidel Alfaro Almagro, Karla L Miller, Naomi Martin, Thomas E Nichols, Bernd Taschler, Ludovica Griffanti, Christoph Arthofer, Gwenaëlle Douaud, Chaoyue Wang, Thomas W Okell, Richard A I Bethlehem, Klaus Eickel, Matthias Günther, David K Menon, Guy Williams, Bethany Facer, David J Lythgoe, Flavio Dell'Acqua, Greta K Wood, Steven C R Williams, Gavin Houston, Simon S Keller, Catherine Holden, Monika Hartmann, Lily George, Gerome Breen, Benedict D Michael, Peter Jezzard, Stephen M Smith, Edward T Bullmore, COVID-CNS Consortium

“…Over 2,000 Imaging Derived Phenotypes (IDPs), measuring both data quality and regional image properties of interest, were automatically estimated by customised UKB image processing pipelines (S2 File). …”
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Participatory Intervention Development of a Peer-Guided Self-Help App for Anxiety Disorders: Mixed Methods Study by Laura Duddeck, Timo Stolz, Christian Zottl, Thomas Berger, Johanna Boettcher

“…Use metrics (eg, log-ins, time spent, and feature use) were recorded automatically. Quantitative data were analyzed descriptively. …”
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Automated Quantification of Retinopathy of Prematurity Stage via Ultrawidefield OCT by Spencer S. Burt, BA, Aaron S. Coyner, PhD, Elizabeth V. Roti, BS, Yakub Bayhaqi, PhD, John Jackson, MD, Mani K. Woodward, MS, Shuibin Ni, PhD, Susan R. Ostmo, MS, Guangru Liang, BS, Yali Jia, PhD, David Huang, MD, Michael F. Chiang, MD, Benjamin K. Young, MD, Yifan Jian, PhD, John Peter Campbell, MD

“…This study evaluates whether the volume of anomalous NVT (ANVTV), defined as abnormal tissue protruding from the regular contour of the retina, can be measured automatically using deep learning to develop quantitative OCT-based biomarkers in ROP. …”
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Outcome of Allogeneic Hematopoietic Stem Cell Transplantation in Acute Myeloid Leukemias with Hyperdiploid Karyotype by TL Gindina, NN Mamaev, ES Nikolaeva, SN Bondarenko, OA Slesarchuk, AS Borovkova, SV Razumova, OV Pirogova, AL Alyanskii, LS Zubarovskaya, BV Afanas’ev

“…Therefore, the patients with formal criteria of a complex karyotype should not be automatically included in the cytogenetic unfavorable risk group.…”
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Internet and telephone intervention to support patients discontinuing long-term antidepressants in primary care: the REDUCE research programme including RCT by Tony Kendrick, Beth Stuart, Hannah Bowers, Mahboobeh Haji Sadeghi, Helen Page, Christopher Dowrick, Michael Moore, Mark Gabbay, Geraldine Leydon, Guiqing Lily Yao, Shihua Zhu, Paul Little, Gareth Griffiths, Glyn Lewis, Carl May, Joanna Moncrieff, Chris F Johnson, Una Macleod, Simon Gilbody, Rachel Dewar-Haggart, Samantha Williams, Wendy O’Brien, Riya Tiwari, Catherine Woods, Tasneem Patel, Naila Khan, Emma Maund, Nadja van Ginneken, Amy Din, Claire Reidy, Rebecca Lucier, Bryan Palmer, Taeko Becque, Yumna Masood, Natalie Thompson, Ellen van Leeuwen, Marta Glowacka, Adam WA Geraghty

“…Multiple imputation was used to account for missing values. A quantitative process evaluation looked at participants’ use of the online interventions (automatically recorded), and the fidelity of the PWP calls against the guidance provided. …”
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Shaping Quality in Cardiovascular Magnetic Resonance: A Comparative Study of Segmentation Approaches by Trainees and Experts by Jan Gröschel, MD, Thomas Hadler, PhD, Leonhard Grassow, Hadil Saad, MD, Darian Viezzer, PhD, Clemens Ammann, MD, Leonora Zange, MD, Florian von Knobelsdorff-Brenkenhoff, MD, Edyta Blaszczyk, MD, Jeanette Schulz-Menger, MD

“…Conclusion: Après une brève formation standardisée, les opérateurs débutants et intermédiaires ont effectué des mesures quantitatives des cavités cardiaques de manière cohérente avec les experts. …”
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A group psychological intervention for postnatal depression in British mothers of South Asian origin – the ROSHNI-2 RCT by Nusrat Husain, Karina Lovell, Carolyn A Chew-Graham, Farah Lunat, Penny Bee, Matthias Pierce, Najia Atif, Saadia Aseem, Kamaldeep Bhui, Peter Bower, Traolach Brugha, Nasim Chaudhry, Akbar Ullah, Linda Davies, Nadeem Gire, Deepali Sharma, Jahanara Miah, Waqas Ahmed, Joe Kai, Ilyas Mirza, Jillian Morrison, Naeem Mohmed, Atif Rahman, Shanaya Rathod, Najma Siddiqi, Waquas Waheed, Christopher Williams, Nosheen Zaidi, Richard Emsley, Richard Morriss

“…The objectives of the quantitative study To evaluate the short-term and long-term clinical and cost-effectiveness of the PHP intervention on rates of recovery from PND in BSA women compared to TAU. …”
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Random Finite Element Analysis and Random Factor response Mechanism for Geocell-reinforced Soil Retaining Walls by ZHANG Bingbing, SONG Fei

“…The whole process automation framework was built by Python script to realize the intelligent processing from parameter reading, automatic generation of 500 groups of INP files to the submission of batch calculations and extraction of ODB results. …”
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Hybrid closed-loop systems for managing blood glucose levels in type 1 diabetes: a systematic review and economic modelling by Asra Asgharzadeh, Mubarak Patel, Martin Connock, Sara Damery, Iman Ghosh, Mary Jordan, Karoline Freeman, Anna Brown, Rachel Court, Sharin Baldwin, Fatai Ogunlayi, Chris Stinton, Ewen Cummins, Lena Al-Khudairy

“…The outcome estimates reported for observational studies were quantitatively broadly in line with those from the RCTs. …”
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High-throughput image-based monitoring of cell aggregation and microspheroid formation. by Thomas Deckers, Toon Lambrechts, Stefano Viazzi, Gabriella Nilsson Hall, Ioannis Papantoniou, Veerle Bloemen, Jean-Marie Aerts

“…The method was quantitatively validated with respect to manual segmentation on four sets of ± 60 spheroids. …”
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Surface Morphology of Structural Plane and Effects of the Shear Strength Parameters by Dongliang He, Weijun Yang, Yanhui Cheng

“…With subjective comparison reference drawing, the size and angle of a structural plane cannot be quantitatively controlled, and small bumps cannot be described. …”
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Design for automated disassembly: a comparative study of different battery component designs by S. Hansen, G. Ohnemüller, Christina Ionescu, Merle Zorn, Jan-Aut Deeken, Tom Rüther, Mark Mennenga, Michael A. Danzer, Sabine Flamme, Thomas Vietor, Christoph Herrmann, Frank Döpper

“…The results of this assessment indicate that the complexity involved in automatically disassembling the components generally increases with the depth of disassembly. …”
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Advances in the quantification of mitochondrial function in primary human immune cells through extracellular flux analysis. by Dequina Nicholas, Elizabeth A Proctor, Forum M Raval, Blanche C Ip, Chloe Habib, Eleni Ritou, Tom N Grammatopoulos, Devin Steenkamp, Hans Dooms, Caroline M Apovian, Douglas A Lauffenburger, Barbara S Nikolajczyk

“…Current analysis tools for XF outcomes are also unable to automatically assess data quality and delete untenable data from the relatively high number of biological replicates needed to power complex human cell studies. …”
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Development of The ABK-KU Application in Conducting Developmental Assessments in Children with Special Needs by Rafmateti Rafmateti, Fetri Yeni J, Alwen Bentri, Abna Hidayati, Rahmahtrisilvia Rahmahtrisilvia, Risca Amani

“…Data were analyzed descriptively and quantitatively using percentages and statistical tests of N-Gain Score and Wilcoxon Signed-Rank Test. …”
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