The joint effects of inflammation and renal function status on in-hospital outcomes in patients with acute ischemic stroke treated with intravenous thrombolysis by Zhichao Huang, Xiaoyue Zhu, Xiuman Xu, Yi Wang, Yafang Zhu, Dongqin Chen, Yongjun Cao, Xia Zhang

“…Conclusion Combining renal function status and inflammatory biomarkers within 4.5 h after onset could better predict in-hospital outcomes of AIS patients with IVT.…”
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Predictors of developing severe COVID-19 among hospitalized patients: a retrospective study by Hussain Abduljaleel Alkhalifa, Ehab Darwish, Zaenb Alsalman, Aman Alfaraj, Abdullah Alkhars, Fatimah Alkhalifa, Mohammed Algaraash, Ahmed Mohammed Elshebiny, Emad Alkhoufi, Khaled Mohamed Amin Elzorkany

“…However, no protective factors were included in this prediction model.…”
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Multimodal Imaging of Patients With Gliomas Confirms C-MET PET as a Complementary Marker to MRI for Noninvasive Tumor Grading and Intraindividual Follow-Up After Therapy by Kai R. Laukamp MD, Florian Lindemann PhD, Matthias Weckesser MD, Volker Hesselmann MD, Sandra Ligges PhD, Johannes Wölfer MD, Astrid Jeibmann MD, Bastian Zinnhardt PhD, Thomas Viel PhD, Michael Schäfers MD, Werner Paulus MD, Walter Stummer MD, Otmar Schober PhD, MD, Andreas H. Jacobs MD

“…The value of combined L-( methyl -[ 11 C]) methionine positron-emitting tomography (MET-PET) and magnetic resonance imaging (MRI) with regard to tumor extent, entity prediction, and therapy effects in clinical routine in patients with suspicion of a brain tumor was investigated. …”
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Prevalence of dengue and leptospirosis coinfection and associated mortality rates: a systematic review and meta-analysis by Suraj Tiwari, Mahalaqua Nazli Khatib, Rekha MM, Mandeep Kaur, Girish Chandra Sharma, Puneet Sudan, K. Satyam Naidu, Rajesh Singh, Teena Vishwakarma, Sonam Puri, Muhammed Shabil, Anuradha Yadav, Takveer Singh, Sahil Khurana, Rachana Mehta, Prakasini Satapathy, Renu Sah, Abhay M Gaidhane, Ganesh Bushi

“…The pooled mortality rate among co-infected patients was 9.96% (95% CI: 0–53.49%), with moderate heterogeneity (I² = 71%). The prediction interval for mortality ranged from 0.00 to 100%. …”
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Influence of particle size on NIR spectroscopic characterization of sorghum biomass for the biofuel industry by Md Wadud Ahmed, Carlos A. Esquerre, Kristen Eilts, Dylan P. Allen, Scott M. McCoy, Sebastian Varela, Vijay Singh, Andrew D.B. Leakey, Mohammed Kamruzzaman

“…With only 9 selected bands and 4 latent variables (LVs), the best PLSR model was obtained for moisture with particle size of 600–850 µm with the square root of the coefficient of determination (R) of 0.85, the ratio of prediction to deviation (RPD) of 2.2, and the root mean square error (RMSE) of 0.46 % in external validation. …”
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Multiomics integration unravels genotype‐microbiome interactions shaping the conjunctival transcriptome by Qiaoxing Liang, Guo‐Wang Lin, Xiaohu Ding, Bin Zou, Xiaomin Liu, Jing Li, Yuxin Zhang, Xiaofeng Wen, Lingyi Liang, Jin‐Xin Bei, Mingguang He, Huijue Jia, Lai Wei

“…We applied MicroGenix to the conjunctival data set and found that incorporating GMIs into gene expression prediction models significantly increased prediction accuracy. …”
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Advances in machine learning applications to resource technology for organic solid waste by Hongzhi MA, Yichan LIU, Jihua ZHAO, Fan FEI, Ming GAO, Qunhui WANG

“…A key focus of this work is the combination of ML models with optimization algorithms like Genetic Algorithm, which improves the performance of ML models by optimizing hyperparameters and enhancing prediction accuracy. This approach is particularly useful in complex processes such as biological treatment and resource recovery, where ML models can predict waste characteristics and optimize treatment conditions. …”
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Relieving Sore Throat Formula Exerts a Therapeutic Effect on Pharyngitis through Immunoregulation and NF-κB Pathway by Yushi Ding, Suyun Yu, Zhonghong Wei, Rui Deng, Peng Chen, Yifan Sun, Qi Jia, Xiaoman Li, Yuanyuan Wu, Wenxing Chen, Kurt S. Zanker, Aiyun Wang, Yin Lu

“…We combined multiple methods including bioinformatics data digging, network pharmacology analysis, and pathway analysis to predict the potential target of RSTF. We verified our in silico prediction results with an in vivo/vitro antibacterial effect test, mouse phagocytic index test, proliferation, transformation, and migration of mouse spleen lymphocytes. …”
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Artificial intelligence-assisted clinical decision support for childhood asthma management: A randomized clinical trial. by Hee Yun Seol, Pragya Shrestha, Joy Fladager Muth, Chung-Il Wi, Sunghwan Sohn, Euijung Ryu, Miguel Park, Kathy Ihrke, Sungrim Moon, Katherine King, Philip Wheeler, Bijan Borah, James Moriarty, Jordan Rosedahl, Hongfang Liu, Deborah B McWilliams, Young J Juhn

“…<h4>Objectives</h4>To assess the effectiveness and efficiency of Asthma-Guidance and Prediction System (A-GPS), an Artificial Intelligence (AI)-assisted CDS tool, in optimizing asthma management through a randomized clinical trial (RCT).…”
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Identification of serum metabolite biomarkers in premature infants with bronchopulmonary dysplasia: protocol for a multicentre prospective observational cohort study by Ping Zhou, Jun Chen, Ying Liu, Cheng Chen, Xin Guo, Zhangbin Yu, Jiebo Liu, Yanping Guo, Dan Dan Rao, Shengnan He, Xudong Yan, Wanxiang He, Songzhou Xu, Ruolin Zhang

“…This study aims to identify the biomarkers that can predict the early occurrence and development of BPD by screening serum metabolites in preterm infants. …”
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CMEs and SEPs During November–December 2020: A Challenge for Real‐Time Space Weather Forecasting by Erika Palmerio, Christina O. Lee, M. Leila Mays, Janet G. Luhmann, David Lario, Beatriz Sánchez‐Cano, Ian G. Richardson, Rami Vainio, Michael L. Stevens, Christina M. S. Cohen, Konrad Steinvall, Christian Möstl, Andreas J. Weiss, Teresa Nieves‐Chinchilla, Yan Li, Davin E. Larson, Daniel Heyner, Stuart D. Bale, Antoinette B. Galvin, Mats Holmström, Yuri V. Khotyaintsev, Milan Maksimovic, Igor G. Mitrofanov

“…Abstract Predictions of coronal mass ejections (CMEs) and solar energetic particles (SEPs) are a central issue in space weather forecasting. …”
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Epidemiological Characteristics and Prognostic Scoring in Toxic Epidermal Necrolysis and Stevens–Johnson Syndrome: Insights from a 17-Year Burn Center Experience by David Breidung, Sarina Delavari, Ioannis-Fivos Megas, Alexander Geierlehner, Wolfgang Hitzl, Karl J. Bodenschatz, Konrad Karcz, Denis Ehrl, Moritz Billner

“…The secondary objectives were to evaluate the performance of existing prognostic scoring systems (SCORTEN, Re-SCORTEN, and ABCD-10) in predicting mortality and to propose a novel classification tree model to improve mortality prediction. …”
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Using In Silico Methods to Identify Protein Tyrosine Kinase A (PtkA) Homolog in Non-Tuberculous Mycobacteria (NTM) by Swati Jaiswal, Sanjay Kumar

“…In silico approaches, which utilize computational tools for sequence alignment, structure prediction, and functional annotation, offer a powerful means to identify homologous proteins across different species. …”
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Applications and challenges in designing VHH-based bispecific antibodies: leveraging machine learning solutions by Michael Mullin, James McClory, Winston Haynes, Justin Grace, Nathan Robertson, Gino van Heeke

“…Specifically, the utilization of machine learning for structural prediction, lead identification, lead optimization, and humanization of VHH antibodies.…”
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Modeling of Human Skin by the Use of Deep Learning by Xin Xiong, Xuexun Guo, Yiping Wang

“…This study concluded that adopting best strategy in selecting features and classification yields better prediction in emergency case before medicating the patient even during treatment.…”
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Evaluation of prognosis solutions for wind turbine using multi agent simulation of maintenance business by Junya WATANABE, Toshiaki KONO

“…However, it is difficult to predict in advance the quantitative effects of IoT solutions on the overall business. …”
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Gene function revealed at the moment of stochastic gene silencing by Shreyan Gupta, James J. Cai

“…Analysis of real data demonstrates that scSGS can reveal regulatory relationships up- and downstream of target genes, circumventing the survivorship bias that often affects gene knockout and perturbation studies. scSGS thus offers an efficient approach for gene function prediction, with significant potential to reduce the use of genetically modified animals in gene function research.…”
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Current Endoscopic and Surgical Management of Pancreatic Cystic Lesions: A Comprehensive Review by Kunzah A. Syed, Elham Afghani, Kelly J. Lafaro

“…For these significant lesions, accurate characterization of cyst type and prediction of the risk of malignant progression are crucial for specific management, such as deciding to monitor a lesion or pursue surgical intervention. …”
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Power Forecasting of Combined Heating and Cooling Systems Based on Chaotic Time Series by Liu Hai, Song Yong, Du Qingfu

“…Experimental results show that the maximum power point of the distributed generation system will be predicted based on the meteorological data. The system can be controlled effectively based on the prediction.…”
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A Method for the Inversion of Reservoir Effective Permeability Based on Time-Lapse Resistivity Logging Data and Its Application by Hairong Zhang, Bin Zhao, Shiqi Dong, Xixin Wang, Pengfei Jing

“…This study provides basic parameters for subsequent formation analyses and productivity prediction and substantially improves the reservoir evaluation technology from static to dynamic.…”
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