Checkpoint based immunotherapy in non-small cell lung cancer: a real-world retrospective study by Luigi Liguori, Luigi Liguori, Gabriele Giorgio, Giovanna Polcaro, Valentina Pagliara, Domenico Malandrino, Francesco Perri, Marco Cascella, Alessandro Ottaiano, Valeria Conti, Alberto Servetto, Roberto Bianco, Stefano Pepe, Francesco Sabbatino

“…Nevertheless, the potential integration of clinical-pathological characteristics as predictive biomarkers in more accurate therapeutic algorithms as well as the underlying biological mechanisms should be further validated in ad hoc studies.…”
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TELEPROM Psoriasis: Enhancing patient-centered care and health-related quality of life (HRQoL) in moderate-to-severe plaque psoriasis by Gabriel Mercadal-Orfila, Gabriel Mercadal-Orfila, Piedad López Sánchez, Aranzazu Pou Alonso, Olatz Ibarra-Barrueta, Emilio Monte-Boquet, Joaquin Borrás Blasco, Nuria Padullés Zamora, Patricia Sanmartin-Fenollera, Cristina Capilla Montes, M. Ángeles Bernabéu Martínez, Salvador Herrera-Pérez

“…Data were analyzed using ANOVA, Student’s t-test, multiple regression, and machine learning algorithms to evaluate ePROMs evolution and response and satisfaction with Telepharmacy follow up.Key resultsThe analysis revealed significant influences of gender, employment status, educational level, and daily activity, but no effect of age, on responses to Patient-Reported Outcomes questionnaires. …”
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Spatial patterns and MRI-based radiomic prediction of high peritumoral tertiary lymphoid structure density in hepatocellular carcinoma: a multicenter study by Juan Chen, Xiong Chen, Kai Fu, Lan Zhou, Shichao Long, Mengsi Li, Linhui Zhong, Aerzuguli Abudulimu, Wenguang Liu, Deng Pan, Ganmian Dai, Yigang Pei, Wenzheng Li

“…Radiomic features were extracted from intratumoral and peritumoral regions of interest and analyzed using machine learning algorithms to develop a predictive classifier. The classifier’s performance was evaluated using the area under the curve (AUC), with prognostic and predictive value assessed across four independent cohorts and in a dual-center outcome cohort of 41 patients who received immunotherapy.Results Patients with HCC and a high pTLS density experienced prolonged median overall survival (p<0.05) and favorable immunotherapy response (p=0.03). …”
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Single-cell profiling of SLC family transporters: uncovering the role of SLC7A1 in osteosarcoma by Yan Liao, Junkai Chen, Hao Yao, Ting Zheng, Jian Tu, Weidong Chen, ZeHao Guo, Yutong Zou, Lili Wen, Xianbiao Xie

“…Multiple analytical algorithms indicated that SLCs were associated with immune cell infiltration and immune checkpoint gene expression. …”
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Circadian clock disruption impairs immune oscillation in chronic endogenous hypercortisolism: a multi-level analysis from a multicentre clinical trialResearch in context by Valeria Hasenmajer, Emilia Sbardella, Francesca Sciarra, Chiara Simeoli, Claudia Pivonello, Filippo Ceccato, Riccardo Pofi, Marianna Minnetti, Flavio Rizzo, Davide Ferrari, Ilaria Bonaventura, Federica Barbagallo, Elisa Giannetta, Danilo Alunni Fegatelli, Simone Conia, Roberto Navigli, Giorgio Arnaldi, Carla Scaroni, Rosario Pivonello, Daniele Gianfrilli, Mary Anna Venneri, Andrea M. Isidori

“…Cosinor mixed effects model, rhythmicity algorithms and machine learning techniques were applied to the multi-level dataset. …”
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Identification and validation of diagnostic biomarkers and immune cell abundance characteristics in Staphylococcus aureus bloodstream infection by integrative bioinformatics analys... by Junhong Shi, Li Shen, Yanghua Xiao, Cailing Wan, Bingjie Wang, Peiyao Zhou, Jiao Zhang, Weihua Han, Rongrong Hu, Fangyou Yu, Hongxiu Wang

“…Subsequently, the hub genes including DRAM1, PSTPIP2, and UPP1 were identified via three machine-learning algorithms: random forest, support vector machine-recursive feature elimination, and least absolute shrinkage and selection operator. …”
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Toward accurate prediction of carbon dioxide (CO2) compressibility factor using tree-based intelligent schemes (XGBoost and LightGBM) and equations of state by Behnam Amiri-Ramsheh, Aydin Larestani, Saeid Atashrouz, Elnaz Nasirzadeh, Meriem Essakhraoui, Ali Abedi, Mehdi Ostadhassan, Ahmad Mohaddespour, Abdolhossein Hemmati-Sarapardeh

“…In this study, two powerful and robust tree-based machine learning (ML) algorithms, namely light gradient boosted machine (LightGBM) and extreme gradient boosting (XGBoost) were utilized to precisely estimate CO2 Z-factor. …”
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Estimating Summer Maize Biomass by Integrating UAV Multispectral Imagery with Crop Physiological Parameters by Qi Yin, Xingjiao Yu, Zelong Li, Yiying Du, Zizhe Ai, Long Qian, Xuefei Huo, Kai Fan, Wen’e Wang, Xiaotao Hu

“…Combining measured data such as summer maize AGB and plant height, which were collected on the ground, and based on the three machine learning algorithms of partial least squares regression (PLSR), random forest (RF), and long short-term memory (LSTM), an input feature analysis of PH was carried out, and a prediction model of summer maize AGB was constructed. …”
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Multimodality deep learning radiomics predicts pathological response after neoadjuvant chemoradiotherapy for esophageal squamous cell carcinoma by Yunsong Liu, Yi Wang, Xinyang Hu, Xin Wang, Liyan Xue, Qingsong Pang, Huan Zhang, Zeliang Ma, Heping Deng, Zhaoyang Yang, Xujie Sun, Yu Men, Feng Ye, Kuo Men, Jianjun Qin, Nan Bi, Jing Zhang, Qifeng Wang, Zhouguang Hui

“…Multiple radiomics models were developed, both single modality and integrated, using machine learning algorithms. The models’ performance was assessed using receiver operating characteristic curve analysis, with the area under the curve (AUC) as a primary metric, alongside sensitivity and specificity from the cut-off analysis. …”
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Population Dynamics of the Crocodile Shark, <i>Pseudocarcharias kamoharai</i>, in the Tropical Equatorial Pacific Ocean, Ecuador by Marcos Douglas Calle-Morán, Eugenio Alberto Aragón-Noriega, Ana Rosa Hernández-Téllez, Emigdio Marín-Enríquez, Javier Tovar-Ávila, Juan Francisco Arzola-González, Jorge Payán-Alejo

“…These values were similar to the six algorithms designed for cartilaginous fish, ranging from 0.16 to 0.35; for this reason, these mortality rates were considered low. …”
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Long-term Impact of Carotid Endarterectomy on Choroidal and Choriocapillaris Perfusion: The INFLATE Study by Alessandro Berni, MD, Yi Zhang, PhD, Sandy Zhou Wenting, MD, Natalie Noam, MD, David Rabinovitch, BSc, Basheer Sheick Yousif, MD, Gissel Herrera, MD, Mengxi Shen, MD, PhD, Robert O’Brien, PhD, Giovanni Gregori, PhD, Ruikang K. Wang, PhD, Philip J. Rosenfeld, MD, PhD, Omer Trivizki, MD

“…Methods: Swept-source OCT angiography scans were performed on both eyes at baseline (before CEA), within 1 week post-CEA (short-term follow-up [FU]), and ≥30 days post-CEA (long-term FU). Using validated algorithms, we measured mean choroidal thickness (MCT), choroidal vascularity index (CVI), choroidal vessel volume (CVV), CC flow deficit percentage (CC FD%), and CC thickness within the 5-mm circle centered on the fovea for both the eye ipsilateral to CEA (surgical side) and the contralateral eye (nonsurgical side). …”
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Evaluating Long‐Term Outcomes of Children Undergoing Surgical Treatment for Congenital Heart Disease for National Audit in England and Wales by Kate L. Brown, Qi Huang, Ferran Espuny‐Pujol, Julie A. Taylor, Jo Wray, Carin van Doorn, Serban Stoica, Christina Pagel, Rodney C. G. Franklin, Sonya Crowe

“…We then developed sentinel CHD phenotypes and algorithms for identifying treatment pathway procedures using clinical codes. …”
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Validation Indicator Identification and Customer Ranking in Microloans: A Study at Middle East Bank in Iran by Azadeh Ahmadi Kousha, Faegh Ahmadi, Mohammad Hossein Ranjbar, Hamidreza Kordlouie

“…Naive Bayes, Meta, Attribute Selected Classifier, and j48 algorithms were implemented and WEKA software was used to classify criteria and create patterns. …”
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Human and Machine: A View through Kant's Use of Regulative Reason by Ümit Taştan

“…Since we can conceptualize a unity such as a formal system, we can discuss algorithms that operate according to this system. The regulative use of reason, which enables the establishment of such wholes, creates a qualitative difference between AI and the human mind when combined with the human’s intuitive thinking ability. …”
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Programación y Control de Sistemas de Fabricación Flexibles: un Enfoque Holónico by J.A. Araúzo, R. del-Olmo-Martínez, J.J. Laviós, J.J. de-Benito-Martín

“…., Keywords: Production control, production systems, scheduling algorithms, flexible manufacturing systems, intelligent manufacturing systems.…”
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An optimized approach for predicting water quality features and a performance evaluation for mapping surface water potential zones based on Discriminant Analysis (DA), Geographical... by Abhijeet Das

“…Again, this research used a strong methodology by incorporating Machine learning (ML) algorithms, such as: Artificial Neural Network (ANN), Gaussian Process Regression (GPR), Support Vector Machine (SVM), and Linear Regression Model (LRM), were applied to forecast and confirm the quality of the water. …”
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The effects of HIV self-testing on HIV incidence and awareness of status among men who have sex with men in the United States: Insights from a novel compartmental model by Alex Viguerie, Chaitra Gopalappa, Cynthia M. Lyles, Paul G. Farnham

“…As self-tests replace a higher percentage laboratory-based testing algorithms, increases in overall testing rates were necessary to ensure reductions in HIV incidence. …”
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Comprehensive Analysis of Programmed Cell Death-Related Genes in Diagnosis and Synovitis During Osteoarthritis Development: Based on Bulk and Single-Cell RNA Sequencing Data by Zhou J, Jiao S, Huang J, Dai T, Xu Y, Xia D, Feng Z, Chen J, Li Z, Hu L, Meng Q

“…Using machine learning algorithms, Hub PCD-related differentially expressed genes (Hub PCD-DEGs) were identified. …”
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Characterizing Escherichia coli carrying plasmid-mediated AmpC β-lactamases to optimize detection in a diagnostic laboratory setting by Jason Teng, Luke Walters, Lex E. X. Leong, Kija Smith, Malissa Amato, Xiao Chen, Mark Turra, Morgyn S. Warner, Lito E. Papanicolas

“…We then describe phenotypic testing algorithms that incorporate this PCR and can differentiate these from non-acquired resistance in E. coli. …”
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Choice regularities of antihypertensive therapy regimens of primary open-angle glaucoma in conditions of real clinical practice by Z.M. Nagornova, A.V. Seleznev, P.Ch. Zavadskiy, A.V. Kuroyedov

“…Mandryka, Moscow, Russian Federation<br> ⁴ Pirogov Russian National Research Medical University, Moscow, Russian Federation<br> <br> <b>Aim</b>: to study effectiveness of different regimens of primary open-angle glaucoma (POAG) therapy, choice and change algorithms of ophthalmic treatment components in conditions of real clinical practice.…”
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