Newer insights into the management of interstitial lung disease in systemic sclerosis by Robert L Mango, Jay H Ryu, Ashima Makol

“…A selected group of patients may benefit from early referral for hematopoietic stem cell transplantation or lung/heart–lung transplant. …”
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Pregnancy-associated breast cancer: course, diagnosis and treatment by I. A. Salov, T. A. Basova, Yu. V. Mikhailova, I. I. Frolova

“…The proper decision-making of drug therapy algorithm according to the verified tumor histological variant and immunohistochemical status along with surgical treatment allowed not only to achieve tumor regression, give birth to a healthy full-term baby, but also gave a chance for survival despite late-onset treatment. …”
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Multi-Factor Load Classification Method considering Clean Energy Power Generation by Yuxiu Zang, Weichun Ge, Shunjiang Wang, Yan Zhao, Tianfeng Chu

“…Based on the load characteristics, the K-means algorithm is used for main clustering. Then, the confidence level of the uncertainty of the actual load adjustable capacity is analyzed by quantifying the load adjustable potential index and the fuzzy C-means clustering method was used for secondary clustering of the adjustable capacity. …”
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Shannon Entropy Computations in Navier–Stokes Flow Problems Using the Stochastic Finite Volume Method by Marcin Kamiński, Rafał Leszek Ossowski

“…Further numerical extension of this technique is seen in an application of the artificial neural networks, where polynomial approximation may be replaced automatically by some optimal, and not necessarily polynomial, bases.…”
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Automatic summarization of scientific articles: A survey by Nouf Ibrahim Altmami, Mohamed El Bachir Menai

“…The scientific research process generally starts with the examination of the state of the art, which may involve a vast number of publications. Automatically summarizing scientific articles would help researchers in their investigation by speeding up the research process. …”
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Simulation-Based Design and Machine Learning Optimization of a Novel Liquid Cooling System for Radio Frequency Coils in Magnetic Hyperthermia by Serhat Ilgaz Yöner, Alpay Özcan

“…However, radio frequency coils used to generate alternating magnetic fields may suffer from excessive heating, leading to efficiency losses and unintended thermal effects on surrounding healthy tissues. …”
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Exploring Residential Heterogeneity through Multiscalar Lens: A Case Study of Hangzhou, China by Qinshi Huang, Weixuan Song, Liyan Liu, Chunhui Liu, Xinyi Zhang, Ge He

“…However, most traditional methods ignore the checkboard and modifiable areal unit problem (MAUP), which may cover up the complexity and hierarchy of social space. …”
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Googling for Abortion: Search Engine Mediation of Abortion Accessibility in the United States by Yelena Mejova, Tatiana Gracyk, Ronald E. Robertson

“… Among the myriad barriers to abortion access, crisis pregnancy centers (CPCs) pose an additional difficulty by targeting women with unexpected or “crisis” pregnancies in order to dissuade them from the procedure. Web search engines may prove to be another barrier, being in a powerful position to direct their users to health information, and above all, health services. …”
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An Update on Hepatorenal Syndrome by Samuel Chan, Kenneth Au, Ross Francis, David W Mudge, David W Johnson, Tony Rahman

“…A recently revised diagnostic criteria and management algorithm for AKI has been developed for patients with cirrhosis, allowing physicians to commence treatment promptly. …”
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Ethics of Artificial Intelligence and Robotics: Key Issues and Modern Ways to Solve Them by N. Yadav

“…Their formalization in normative form and subsequent compliance will reduce the harm that artificial intelligence may cause in applied fields, including robotics using artificial intelligence. …”
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Identifying locations susceptible to micro-anatomical reentry using a spatial network representation of atrial fibre maps. by Max Falkenberg, James A Coleman, Sam Dobson, David J Hickey, Louie Terrill, Alberto Ciacci, Belvin Thomas, Arunashis Sau, Fu Siong Ng, Jichao Zhao, Nicholas S Peters, Kim Christensen

“…With further development, these methods may be useful for modelling the temporal development of the fibrotic substrate on an individualised basis.…”
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Predicting brain age for veterans with traumatic brain injuries and healthy controls: an exploratory analysis by John P. Coetzee, John P. Coetzee, Xiaojian Kang, Xiaojian Kang, Victoria Liou-Johnson, Victoria Liou-Johnson, Victoria Liou-Johnson, Ines Luttenbacher, Srija Seenivasan, Elika Eshghi, Daya Grewal, Siddhi Shah, Frank Hillary, Emily L. Dennis, Emily L. Dennis, Maheen M. Adamson, Maheen M. Adamson, Maheen M. Adamson

“…Specifically, BAg among individuals with TBI is predicted by neuroanatomical factors, while among HCs it is predicted only by CA. This may reflect features of the algorithm, an underlying biological process, or both.…”
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Machine learning integrates region-specific microbial signatures to distinguish geographically adjacent populations within a province by Li Luo, Li Luo, Bangwei Chen, Bangwei Chen, Shengyin Zeng, Shengyin Zeng, Yaxin Li, Yaxin Li, Xiaolin Chen, Xiaolin Chen, Jianguo Zhang, Xiangjie Guo, Shujin Li, Lei Ruan, Shida Zhu, Cairong Gao, Cuntai Zhang, Tao Li

“…Moreover, a deeper understanding of host-specific associations may offer valuable forensic and clinical assistance.…”
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Comparison between clinician and machine learning prediction in a randomized controlled trial for nonsuicidal self-injury by Moa Pontén, Oskar Flygare, Martin Bellander, Moa Karemyr, Jannike Nilbrink, Clara Hellner, Olivia Ojala, Johan Bjureberg

“…As both prediction approaches achieved modest accuracy, the current results indicate the need for further research to enhance the predictive power of machine-learning algorithms. Machine learning model indicated that emotion dysregulation may be of importance in treatment planning, information that was not available from clinician predictions. …”
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Predicting Bleeding Events in Anticoagulated Patients With Atrial Fibrillation: A Comparison Between the HAS‐BLED and GARFIELD‐AF Bleeding Scores by Marco Proietti, José Miguel Rivera‐Caravaca, María Asunción Esteve‐Pastor, Giulio Francesco Romiti, Francísco Marin, Gregory Y. H. Lip

“…Background Patients with atrial fibrillation (AF) treated with oral anticoagulants may be exposed to an increased risk of bleeding events. …”
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Characterization of lactylation modification subtypes and the promoting role of CCL20 in hepatocellular carcinoma progression by Li-Hong Wu, Liu Yang, Xiang-Xu Wang, Shuang Bai, Xi Yan, Jing Wei, Jun Wang, Fei Tian

“…A lactylation modification-related prognostic model was subsequently constructed using LASSO-Cox and multivariate Cox regression analyses. The CIBERSORT algorithm was utilized to analyze immune cell infiltration. …”
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Predicting the Risk of Loneliness in Children and Adolescents: A Machine Learning Study by Jie Zhang, Xinyi Feng, Wenhe Wang, Shudan Liu, Qin Zhang, Di Wu, Qin Liu

“…Additionally, random forest and XGBoost were applied to identify the important factors. The XGBoost algorithm with SHAP was also used to interpret the results of our ML model. …”
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An Early Detection of Asthma Using BOMLA Detector by Md. Abdul Awal, Md. Shahadat Hossain, Kumar Debjit, Nafiz Ahmed, Rajan Dev Nath, G. M. Monsur Habib, Md. Salauddin Khan, Md. Akhtarul Islam, M. A. Parvez Mahmud

“…Even in the worst cases, it may destroy the quality to lead. Therefore, early detection of asthma is urgently needed, and machine learning can help identify asthma accurately. …”
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A global daily mesoscale front dataset from satellite observations: in situ validation and cross-dataset comparison by Q. Xing, H. Yu, W. Yu, W. Yu, W. Yu, W. Yu, X. Chen, X. Chen, X. Chen, X. Chen, H. Wang, H. Wang, H. Wang

“…These results enhance confidence in the application of satellite-based front detection, and our global front dataset and detection algorithm may be valuable for both regional and global studies in marine ecology, fisheries, ocean dynamics, and climate change.…”
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Artificial intelligence (AI) to enhance breast cancer screening: protocol for population-based cohort study of cancer detection by M Luke Marinovich, Gavin F Pereira, Nehmat Houssami, Elizabeth Wylie, Sophia Zackrisson, Stacy M Carter, Meagan Brennan, Alison Pearce, William Lotter, Helen Lund, Andrew Waddell, Jiye G Kim, Christoph I Lee

“…Introduction Artificial intelligence (AI) algorithms for interpreting mammograms have the potential to improve the effectiveness of population breast cancer screening programmes if they can detect cancers, including interval cancers, without contributing substantially to overdiagnosis. …”
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