Near-Real-Time Global Thermospheric Density Variations Unveiled by Starlink Ephemeris by Zhuoliang Ou, Jiahao Zhong, Yongqiang Hao, Ruoxi Li, Xin Wan, Kang Wang, Jiawen Chen, Hao Han, Xingyan Song, Wenyu Du, Yanyan Tang

“…With the ephemeris data of Starlink satellites, we first apply a maneuver detection algorithm based on mean orbital elements to analyze their maneuvering behavior. …”
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Adjusting Early Warning Score by clinical assessment: a study protocol for a Danish cluster-randomised, multicentre study of an Individual Early Warning Score (I-EWS) by Lars Simon Rasmussen, Kasper Karmark Iversen, Theis Lange, Gitte Bunkenborg, Pernille B Nielsen, Martin Schultz, Caroline Sophie Langkjaer, Anne Marie Kodal, Niels Egholm Pedersen, John Asger Petersen, Michael Dan Arvig, Christian Sahlholt Meyhoff, Morten Bestle, Bibi Hølge-Hazelton, Anne Lippert, Ove Andersen

“…Introduction Track and trigger systems (TTSs) based on vital signs are implemented in hospitals worldwide to identify patients with clinical deterioration. TTSs may provide prognostic information but do not actively include clinical assessment, and their impact on severe adverse events remain uncertain. …”
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Development and validation of dynamic clinical subphenotypes in acute pancreatitis patients using vital sign trajectories in intensive care units: a multinational cohort study by Zichen Wang, Wen Wang, Jiayue Xu, Qiao He, Che Sun, Shuangyi Xie, Kang Zou, Qing Xia, Xin Sun

“…Although emerging therapeutic strategies targeting pathways such as calcium signaling, TNF-α, the NLRP3 inflammasome, and HMGB1 have shown promise, their efficacy may be limited by the underlying biological heterogeneity of the disease. …”
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Modeling growth curve parameters in Peruvian llamas using a Bayesian approach by Ali William Canaza-Cayo, Rubén Herberht Mamani-Cato, Roxana Churata-Huacani, Francisco Halley Rodríguez-Huanca, Maribel Calsin-Cari, Ferdynand Marcos Huacani-Pacori, Oscar Efrain Cardenas Minaya, Júlio Sílvio de Sousa Bueno Filho

“…The MCMC method using the Metropolis-Hastings algorithm with noninformative prior distributions was applied in the Bayesian approach. …”
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Is there the phenotype of chronic heart failure with “intermediate” left ventricular ejection fraction? Additional echocardiographic criteria for left ventricular systolic dysfunct... by V. V. Syvolap, V. A. Lysenko

“…The aim of the work – to find out the possibility of using ultrasound parameters of LV systolic function as additional diagnostic criteria for systolic dysfunction and to develop an algorithm for its diagnosis in CHF patients with LV EF within the “gray zone” (40–55 %). …”
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Machine learning assisted estimation of total solids content of drilling fluids by B.T. Gunel, Y.D. Pak, A.Ö. Herekeli, S. Gül, B. Kulga, E. Artun

“…In contrast to human-intensive methods, machine learning may offer a viable alternative for solids content estimation due to its pattern-recognition capability. …”
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CytoBead ANA 2 assay - a novel method for the detection of antinuclear antibodies by Tulchinsky Roei, Gilburd Boris, Shovman Yehuda, Tocut Milena, Zeruya Eleanor, Binyaminov Ariel, Davidson Tima, Thomas Büttner, Abdullah Nasser, Juliane Michel, Stefan Rödiger, Peter Schierack, Amital Howard, Dirk Roggenbuck, Shoenfeld Yehuda, Shovman Ora

“…Abstract Detection of anti-nuclear autoantibodies (ANA) is based on a two-step algorithm including indirect immunofluorescence (IIF) on HEp2 cells and subsequent reflex/confirmatory testing for specific autoantibodies. …”
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An oral microbiota-based deep neural network model for risk stratification and prognosis prediction in gastric cancer by Xue-Feng Gao, Can-Gui Zhang, Kun Huang, Xiao-Lin Zhao, Ying-Qiao Liu, Zi-Kai Wang, Rong-Rong Ren, Geng-Hui Mai, Ke-Ren Yang, Ye Chen

“…The prognostic value of these bacterial markers was further reinforced by external validation.Conclusion The oral microbiota-based DNN model may advance GC prognosis. The biological functions of these oral bacterial markers warrant further investigation from the perspective of GC progression.…”
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Identification of RAD51AP1 as a key gene in hepatitis B virus-associated hepatocellular carcinoma by Meiling Wan, Yonghong Wang, Xiaoling Liu, Yaling Li, Cunliang Deng, Changfeng Sun

“…These findings provide novel insights into the underlying mechanisms and may offer potential diagnostic and therapeutic targets in HBV-associated HCC.…”
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Multicenter Development and Prospective Validation of eCARTv5: A Gradient-Boosted Machine-Learning Early Warning Score by Matthew M. Churpek, MD, MPH, PhD, ATSF, Kyle A. Carey, MPH, Ashley Snyder, MPH, Christopher J Winslow, MD, Emily Gilbert, MD, Nirav S Shah, MD, MPH, Brian W. Patterson, MD, MPH, Majid Afshar, MD, MSCR, Alan Weiss, MD, MBA, Devendra N. Amin, MD, Deborah J. Rhodes, MD, Dana P. Edelson, MD, MS

“…Early detection of clinical deterioration using machine-learning early warning scores may improve outcomes. However, most implemented scores were developed using logistic regression, only underwent retrospective validation, and were not tested in important subgroups. …”
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Epigenetic age and fertility timeline: testing an epigenetic clock to forecast in vitro fertilization success rate by Davide Marinello, Marco Reschini, Giorgia Di Stefano, Giorgia Carullo, Maíra Casalechi, Letizia Tarantini, Benedetta Albetti, Valentina Bollati, Paola Viganò, Edgardo Somigliana, Letizia Li Piani

“…Conclusions Epigenetic clocks may enhance IVF success prediction, particularly in women between 31 and 35. …”
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Non-Luminal Disease Score for Everolimus in Patients with Hormone Receptor‑positive and Human Epidermal Growth Factor Receptor 2-Negative Advanced Breast Cancer: A Mult... by Tan Y, Jiang H, Tian X, Ma F, Wang J, Zhang P, Xu B, Fan Y, Zhao W

“…The correlation between the benefits of everolimus and NOLUS failed to develop significance, suggesting that NOLUS may not be applicable in predicting everolimus efficacy in patients with HR+/HER2- ABC. …”
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Evaluation of post-market adverse events of lubiprostone: a real-world adverse event analysis from the FAERS database by Qingqing Li, Jijun Zhang, Chuanli Yang, Xiushan Dong, Yan Wang

“…In addition to adverse events consistent with information from existing clinical trials and the insert, we discovered several serious localized adverse reactions and previously unreported systemic adverse reactions. These may be potentially associated with lubiprostone, but are not confirmed adverse effects. …”
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Host and bacterial urine proteomics might predict treatment outcomes for immunotherapy in advanced non-small cell lung cancer patients by David Dora, Peter Revisnyei, Peter Revisnyei, Alija Pasic, Gabriella Galffy, Edit Dulka, Anna Mihucz, Brigitta Roskó, Sara Szincsak, Anton Iliuk, Glen J. Weiss, Zoltan Lohinai, Zoltan Lohinai

“…Internal validation was performed using the Random Forest (RF) machine learning (ML) algorithm. RF was validated with a non-linear Bayesian ML model. …”
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One-year clinical outcomes of an observational study of static lung preservation at 10° centigrade and semi-elective lung transplantation by Christopher M. Bobba, Biplab Saha, Yuriy Stukov, Liam Kugler, Mohammad A. Aladaileh, Olusola Oduntan, William Weir, Jeffrey P. Jacobs, Cynthia Gries, Amir Emtiazjoo, Mindaugas Rackauskas, MD

“…Studies have suggested that an extended static preservation of donor lung allografts at 10°C may offer similar clinical outcomes with the added benefits of surgery being performed as a semi-elective (SE) procedure. …”
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Operational considerations for approximating molecular assembly by Fourier transform mass spectrometry by Gabriella M. Weiss, Gabriella M. Weiss, Gabriella M. Weiss, Silke Asche, Hannah McLain, Angela H. Chung, Angela H. Chung, Angela H. Chung, S. Hessam M. Mehr, Leroy Cronin, Heather V. Graham

“…Some of the most common life detection techniques for planetary exploration focus on organic molecule characterization, but life on other planets may not chemically resemble that found on Earth. …”
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Identification of glycolysis-related molecular subtypes and prognostic model in intrahepatic cholangiocarcinoma by Yue Wang, Pengxiang Wang, Hui Liu, Haokang Feng, Muzi Cao, Zefan Zhang, Keqiang Rao, Jia Fan, Xiutao Fu, Yunfan Sun

“…A 9-gene risk model (ALDH1B1, DDIT4, GALE, HK1, HMMR, PGAM1, PGK1, PLOD1, SAP30) was constructed using the Least Absolute Shrinkage and Selection Operator (LASSO) algorithm and multivariate Cox regression analysis. …”
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Video recording as an objective assessment tool of health worker performance in neonatal resuscitation at a district hospital in Pemba, Tanzania: a feasibility study by Gorm Greisen, Jette Led Sørensen, Jesper Kjærgaard, Anja Poulsen, Said Ali, Tine Bruhn Skytte, Charlotte Carina Holm-Hansen, Christina Nadia Stensgaard, Christine Manich Bech, Mads Nathaniel Lopes, Mads Kristiansen, Said Mzee, Shaali Ame, Stine Lund

“…Objectives To assess the feasibility of using video recordings of neonatal resuscitation (NR) to evaluate the quality of care in a low-resource district hospital.Design Prospective observational feasibility study.Setting Chake-Chake Hospital, a district hospital in Pemba, Tanzania, in April and May 2019.Participants All delivering women and their newborns were eligible for participation.Main outcome measures Motion-triggered cameras were mounted on resuscitation tables and provided recordings that were analysed for quality of care indicators based on the national NR algorithm. …”
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Air pollution and prostate cancer: Unraveling the connection through network toxicology and machine learning by Yuqi Li, Tao Zhou, Zhiyu Liu, Xinyao Zhu, Qilong Wu, Chunyang Meng, Qingfu Deng

“…This study aims to explore the potential association between air pollutants and prostate cancer (PCa) and to identify key genes that may play a critical bridging role in this process. …”
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AI-assisted detection for chest X-rays (AID-CXR): a multi-reader multi-case study protocol by Fergus Gleeson, Alex Novak, Indrajeet Das, Ruchir Shah, Edwin van Beek, Sarim Ather, Howell Fu, Nabeeha Salik, Alan Campbell, Farhaan Khan, Abdala Trinidad Espinosa Morgado, Marusa Kotnik, Louise Wing, John Murchison, Jong Seok Ahn, Sang Hyup Lee, Ambika Seth

“…Advances in machine learning and computer vision technologies have led to the development of several artificial intelligence (AI) tools to detect abnormalities on CXRs, which may expand diagnostic support to a wider field of health professionals. …”
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