Predicted indirectly recognizable HLA epitopes scores and clinical outcomes after haploidentical stem cell transplantation in pediatric patients with relapsed neuroblastoma by Eun Seop Seo, Eun Seop Seo, In Hwa Jeong, In Hwa Jeong, Hee Young Ju, Ju Kyung Hyun, Ji Won Lee, Keon Hee Yoo, Won Young Heo, Ki Woong Sung, Hee Won Cho, Eun-Suk Kang

“…IntroductionThe Predicted Indirectly ReCognizable HLA Epitopes (PIRCHE) model is a recently developed algorithm that predicts indirect T-cell recognition by calculating the number of such epitopes in donor-recipient pairs.MethodsIn this study, the clinical significance of PIRCHE was evaluated in pediatric patients with relapsed/progressed neuroblastoma undergoing haploidentical stem cell transplantation (haplo-SCT).ResultsA higher PIRCHE-I score was associated with faster platelet recovery (P = 0.007) and lower incidence of hemorrhagic cystitis (13% vs. 41%, P = 0.028) and invasive fungal infections (0% vs. 18%, P = 0.045). …”
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Screening high-risk Veterans for cirrhosis: taking a stepwise population health approach by Jonathan Dounel, Carolyn Lamorte, Heather Patton, Ponni Perumalswami, Heather McCurdy, Nicole J. Kim, Lauren A. Beste, Dawn Scott, Jessimarie Casey, Patrick Spoutz, Linda Chia, Yiwen Yao, Elliott Lowy, Sandra Gibson, Timothy R. Morgan, Shari S. Rogal

“…Abstract Background Because cirrhosis is often unrecognized, we aimed to develop a stepwise screening algorithm for cirrhosis in the Veterans Health Administration (VHA) and assess this approach’s feasibility and acceptability. …”
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Clinical Utility of an Alzheimer’s Disease Blood Test Among Cognitively Impaired Patients: Results from the Quality Improvement PrecivityAD2 (QUIP II) Clinician Survey Study by Mark Monane, Demetrius M. Maraganore, Robert M. Carlile, Kim G. Johnson, David A. Merrill, Darren R. Gitelman, Kenneth S. Sharlin, Lawren A. VandeVrede, Kristi K. George, Jimin Wang, Tim West, Leslie Jacobs, Philip B. Verghese, Joel B. Braunstein

“…Louis, MO) combines the plasma Aβ42/Aβ40 ratio and the p-tau217/np-tau217 ratio (%p-tau217) measurements in a statistical algorithm to yield an Amyloid Probability Score 2 (APS2) that informs on the likelihood of brain amyloid plaques. …”
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Target Detection Using Fused Unidentical Photonics-Based LFM Sub-Band Radar Signals With an Adaptive Feed Forward Network Equalizer by Bikash Nakarmi, S. M. Rezwanul Islam, Hum Nath Parajuli, Ikechi Augustine Ukaegbu, Aigerim Ashimbayeva, Carlo Molardi, T. D. Subash, Xiangchuan Wang, Shilong Pan

“…Time-frequency analysis (TFA) was used to obtain sub-bandgap signals of 0.12 GHz, 0.56 GHz, and 1.25 GHz which are coherently fused using the FFNE with a particle swarm optimization (PSO) algorithm to optimize complex-valued weights. The method is evaluated by measuring the range resolution and peak-to-sidelobe level (PSL) in detecting two objects separated by 2 cm and 3 cm. …”
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Diagnostic accuracy in coronary CT angiography analysis: artificial intelligence versus human assessment by James K Min, Paul Knaapen, Nick S Nurmohamed, Erik S G Stroes, Andrew D Choi, Ibrahim Danad, James Earls, Michiel J Bom, Ruben W de Winter, Rachel Bernardo, Ruurt Jukema, Ralf Sprengers

“…This study evaluated a novel algorithm for coronary stenosis quantification (atherosclerosis imaging quantitative CT, AI-QCT).Methods The study included 208 patients with suspected coronary artery disease (CAD) undergoing CCTA in Perfusion Imaging and CT Coronary Angiography With Invasive Coronary Angiography-1. …”
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CSNK1E is involved in TGF-β1 induced epithelial mesenchymal transformationas and related to melanoma immune heterogeneity by Wangbing Hong, Xin Wang, Xinyu Huang, Pengfei Chen, Yifan Liu, Ziying Zheng, Xin You, Yinghua Chen, Zengxin Xie, Gongnan Zhan, Heping Huang

“…The Least Absolute Shrinkage and Selection Operator (LASSO) algorithm was then applied to refine the gene set and construct a 13-gene prognostic model. …”
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Severity Assessment of COVID-19 Using a CT-Based Radiomics Model by Zhigao Xu, Lili Zhao, Guoqiang Yang, Ying Ren, Jinlong Wu, Yuwei Xia, Xuhong Yang, Milan Cao, Guojiang Zhang, Taisong Peng, Jiafeng Zhao, Hui Yang, Jinfeng Hu, Jiangfeng Du

“…Thirty-eight radiomic features were nominated from 1688 radiomic features after using select K-best method and the ElasticNet algorithm. On this basis, a support vector machine (SVM) classifier was trained to build this model. …”
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Expert-Based Narrative Review on Compression UltraSonography (CUS) for Diagnosis and Follow-Up of Deep Venous Thrombosis (DVT) by Mario D’Oria, Laura Girardi, Ahmed Amgad, Mohab Sherif, Gabriele Piffaretti, Barbara Ruaro, Cristiano Calvagna, Philip Dueppers, Sandro Lepidi, Marco Paolo Donadini

“…Its central role in the diagnostic algorithm of suspected DVT is clearly established in the latest clinical practice guidelines from the European Society for Vascular Surgery and the American Society of Haematology. …”
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Global decadal measurements of methanol, ethene, ethyne, and HCN from the Cross-track Infrared Sounder by K. C. Wells, D. B. Millet, J. F. Brewer, V. H. Payne, K. E. Cady-Pereira, R. Pernak, S. Kulawik, S. Kulawik, C. Vigouroux, N. Jones, E. Mahieu, M. Makarova, T. Nagahama, I. Ortega, M. Palm, K. Strong, M. Schneider, D. Smale, R. Sussmann, M. Zhou

“…We update the Retrieval of Organics from CrIS Radiances (ROCR) algorithm developed previously for isoprene to explicitly account for the spectral signal dependence on the VOC vertical profile shape, and we apply this updated retrieval (ROCRv2) to derive column abundances for the targeted species across the full Suomi NPP CrIS record (2012–2023). …”
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Can aortic valve calcium score predict a need for permanent pacemaker implantation after transcatheter aortic valve implantation? by Helene Eltchaninoff, Eric Durand, Christophe Tron, Charles Fauvel, Thomas Barbe, Thibaut Hemery, Guillaume Le Pessec, Najime Bouhzam, Nicolas Bettinger, Julie Burdeau, Jade Makke, Quentin Laissac, Jean-Nicolas Dacher

“…AVCS had an incremental discriminative value (C-index 0.79 vs 0.77, LR test p=0.036) over and above traditional PPM risk factors. An algorithm was proposed based on the initial presence of RBBB, AVCS and the type of implanted valve.Conclusion Even if RBBB remained the strongest predictor of PPM post-TAVI, this study suggests that a high AVCS may help identifying patients at increased risk of PPM after TAVI, especially among those without pre-existing RBBB.…”
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Models based on dietary nutrients predicting all-cause and cardiovascular mortality in people with diabetes by Fang Wang, Yukang Mao, Jinyu Sun, Jiaming Yang, Li Xiao, Qingxia Huang, Chenchen Wei, Zhongshan Gou, Kerui Zhang

“…The least absolute shrinkage and selection operator (LASSO) regression and random forest (RF) algorithm were applied to identify key mortality-related dietary factors, which were subsequently incorporated into risk prediction nomogram models. …”
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Cathepsin G promotes arteriovenous fistula maturation by positively regulating the MMP2/MMP9 pathway by Lemei Hu, Changqing Zheng, Ying Kong, Zhiqing Luo, Fengzhang Huang, Zhigang Zhu, Quhuan Li, Ming Liang

“…Next, we integrated the results obtained from the degree algorithm provided by the Cytohubba plug-in, Molecular complex detection (MCODE) plug-in, weighted gene correlation network analysis (WGCNA), and Least absolute shrinkage and selection operator (LASSO) logistic regression. …”
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Combined use of respiratory multiplex PCR and procalcitonin to reduce antibiotic exposure in sickle-cell adult patients with acute chest syndrome (The ANTIBIO-STA study): a randomi... by Alexandre Sabaté-Elabbadi, Armand Mekontso-Dessap, François Lionnet, Aline Santin, Charlotte Verdet, Paul-Louis Woerther, Julien Lopinto, Matthieu Turpin, Alexandra Rousseau, Romane Lacoste-Badie, Keyvan Razazi, Guillaume Voiriot, Muriel Fartoukh

“…Interpretation: As compared with conventional tests, an enlarged respiratory panel mPCR combined with a PCT-guided algorithm did not reduce antibiotic exposure at D28 in adults with ACS. …”
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A Hybrid Dynamic Principal Component Analysis Feature Extraction Method to Identify Piston Pin Wear for Binary Classifier Modeling by Hao Yang, Yubin Zhai, Mengkun Zheng, Tan Wang, Dongliang Guo, Jianhui Liang, Xincheng Li, Xianliang Liu, Mingtao Jia, Rui Zhang

“…Aiming at the feature extraction requirements of anti-noise, accuracy and effectiveness, this paper proposes a piston pin wear feature extraction algorithm based on dynamic principal component analysis (DPCA) combined with variational mode decomposition (VMD) and singular value decomposition (SVD). …”
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Outcomes in heart failure patients discharged to skilled nursing facilities with delirium by Jacob Lafo, Mriganka Singh, Lan Jiang, Stephen Correia, Caroline Madrigal, Rachel Clements, Wen‐Chih Wu, Sebhat Erqou, James L. Rudolph

“…Delirium was determined using the Minimum Data Set 3.0 Confusion Assessment Method algorithm. Proportional hazard regression analyses were used to model outcomes and were adjusted for covariates of interest. …”
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A novel way to use cross-validation to measure connectivity by machine learning allows epilepsy surgery outcome prediction by Karla Ivankovic, Alessandro Principe, Justo Montoya-Gálvez, Linus Manubens-Gil, Riccardo Zucca, Pablo Villoslada, Mara Dierssen, Rodrigo Rocamora

“…The classifier generalization performance estimated by cross-validation was employed as a continuous measure of connectivity change. The algorithm generated a network by iteratively adding nodes until the connectivity change magnitude decreased. …”
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Modeling the determinants of attrition in a two-stage epilepsy prevalence survey in Nairobi using machine learning by Daniel M. Mwanga, Isaac C. Kipchirchir, George O. Muhua, Charles R. Newton, Damazo T. Kadengye, Abankwah Junior, Albert Akpalu, Arjune Sen, Bruno Mmbando, Charles R. Newton, Cynthia Sottie, Dan Bhwana, Daniel Mtai Mwanga, Damazo T. Kadengye, Daniel Nana Yaw, David McDaid, Dorcas Muli, Emmanuel Darkwa, Frederick Murunga Wekesah, Gershim Asiki, Gergana Manolova, Guillaume Pages, Helen Cross, Henrika Kimambo, Isolide S. Massawe, Josemir W. Sander, Mary Bitta, Mercy Atieno, Neerja Chowdhary, Patrick Adjei, Peter O. Otieno, Ryan Wagner, Richard Walker, Sabina Asiamah, Samuel Iddi, Simone Grassi, Sloan Mahone, Sonia Vallentin, Stella Waruingi, Symon Kariuki, Tarun Dua, Thomas Kwasa, Timothy Denison, Tony Godi, Vivian Mushi, William Matuja

“…These findings will inform development of a web-based algorithm to predict attrition risk and aid in targeted follow-up efforts in similar studies.…”
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Sustainability index analysis of the black soldier fly (Hermetia illucens) cultivation from food waste substrate by A.D. Santoso, T. Handayani, R.A. Nugroho, A.I. Yanuar, N. Nadirah, E.S. Rohaeni, E. Widjaja, M.A.M. Oktaufik, U. Ayuningtyas, Y.P. Erlambang, R. Herdioso, M.N. Rofiq, R. Hutapea, A.L. Sihombing, B. Rustianto, I.M.A.D Susila, D. Irawan, D. Iskandar, S. Indrijarso, G.D. Widiarta

“…Sustainability status and leverage attributes were analyzed by Monte Carlo analysis, and alternating least-squares algorithm.FINDINGS: Sustainability index for larvae of black soldier fly production was 89.69 percent. …”
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A new distal radius fracture classification depending on the specific fragments through machine learning clustering method by Yuling Gao, Yanrui Zhao, Yang Liu, Shan Lei, Hanzhou Wang, Yuerong Lizhu, Tianchao Lu, Zhexian Cheng, Dong Wang, Binzhi Zhao, Ziyi Li, Junlin Zhou

“…Methods 294 cases of intra-articular distal radius fractures lines were collected and clustered thorough K-means and hierarchical clustering algorithm. The demographic data of patients and the clinical treatment outcomes were recorded. …”
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Stratification system with dual human endogenous retroviruses for predicting immunotherapy efficacy in metastatic clear-cell renal cell carcinoma by Li Xu, Stephane Oudard, Catherine Sautes-Fridman, Xiaoping Su, Gabriel G. Malouf, Virginie Verkarre, Salma Kotti, Fangrong Yan, Yann-Alexandre Vano, Wolf Herve Fridman, Cheng-Ming Sun, Xiaofan Lu, Wenxuan Cheng

“…ERV expression was quantified using the ERVmap algorithm from RNA sequencing data. Our primary objective was to correlate ERV expression with progression-free survival, with overall survival and time-to-second-treatment survival as secondary endpoints. …”
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