Variability and performance of NHS England’s ‘reason to reside’ criteria in predicting hospital discharge in acute hospitals in England: a retrospective, observational cohort study by Elizabeth Sapey, Simon Ball, David McNulty, Felicity Evison, Suzy Gallier, Katherine Reeves

“…Performance of eR2R in predicting discharge within 24 hours.Results There were high levels of intracentre and intercentre variability in R2R-related metrics (p<0.0001) but not in eR2R. …”
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Early assessment of IL8 and PD1+ Treg predicts response and guides treatment monitoring in cemiplimab-treated cutaneous squamous cell carcinoma by Teresa Troiani, Fabiana Napolitano, Luigi Formisano, Roberto Bianco, Daniela Russo, Daniela Esposito, Giuseppe Ercolano, Angela Ianaro, Alberto Servetto, Daniela Claudia Maresca, Marcella Scala, Annarita Amato, Stefania Belli, Claudia Maria Ascione, Angela Vallefuoco, Giovanna Attanasio, Fabio Somma, Silvia Varricchio, Massimo Mascolo, Claudia Costa, Alessia Villani, Massimiliano Scalvenzi, Gianfranco Orlandino

“…Finally, IL8 mirrored the tissue results, unlike IL1β, with early (T1) and then sustained (T3) downregulation of its levels in responder patients, while increased in non-responders.Conclusions Taken together, these findings shed light on the significance of early transcriptomic and immune cell modulation in predicting responses to cemiplimab therapy. Additionally, our data suggest that IL8 levels in peripheral blood offer promising avenues for personalized treatment selection and response assessment in patients with cSCC receiving cemiplimab, while PD1+Tregs can be followed longitudinally to monitor response to therapy.…”
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Diagnostic Value of Dynamics Serum sCD163, sTREM-1, PCT, and CRP in Differentiating Sepsis, Severity Assessment, and Prognostic Prediction by Longxiang Su, Lin Feng, Qing Song, Hongjun Kang, Xingang Zhang, Zhixin Liang, Yanhong Jia, Dan Feng, Changting Liu, Lixin Xie

“…To describe the dynamics changes of sCD163, soluble serum triggering receptor expressed on myeloid cells-1 (sTREM-1), procalcitonin (PCT), and C-reactive protein (CRP) during the course of sepsis, as well as their outcome prediction. Patients and Methods. An SIRS group (30 cases) and a sepsis group (100 cases) were involved in this study. …”
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Predictive Value of Initial 18F-FDG PET/CT for Identifying EGFR and KRAS Mutations in Patients with Non-small-cell Lung Cancer by Ozge Vural Topuz, Nur Buyukpinarbasili

“…Aim: Since the importance of epidermal growth factor receptor (EGFR) and Kirsten rat sarcoma viral oncogene homolog gene (KRAS) mutation status in predicting treatment response in non-small cell lung cancer (NSCLC) patients is well known, we aimed to evaluate whether initial fluorine-18-fluorodeoxyglucose (18F-FDG) positron emission tomography-computed tomography (PET/CT) imaging could non-invasively predict EGFR or KRAS mutation states in this patient group. …”
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More than just sentiment: Using social, cognitive, and behavioral information of social media to predict stock markets with artificial intelligence and big data by Yunus Emre Akdogan, Adem Anbar

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Improved Predictability of Diagnosis and Prognosis Using Serum‐ and Tissue‐Derived Extracellular Vesicles From Bulk mRNA Sequencing in Pancreatic Ductal Adenocarcinoma by Qian Zhu, Zhang Chen, Ming Tian, Xin Yan, Xiangdong Gongye, Zhicheng Liu, Anbang Zhao, Zhiyong Yang, Yufeng Yuan

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Combined morphology and radiomics of intravoxel incoherent movement as a predictive model for the pathologic complete response before neoadjuvant chemotherapy in patients with breast cancer by Yunyan Zheng, Hui Zhang, Huijian Chen, Yang Song, Ping Lu, Mingping Ma, Mengbo Lin, Muzhen He

“…The nomogram displayed superior predictive discrimination with an AUC of 0.862 for the training cohort and 0.861 for the testing cohort. …”
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Associations between milk infrared-predicted plasma biomarkers of stress resilience and fertility in dairy cattle: Insights for enhancing breeding programs and herd management by Alessio Cecchinato, Hugo Toledo-Alvarado, Lucio Flavio Macedo Mota, Vittoria Bisutti, Erminio Trevisi, Riccardo Negrini, Sara Pegolo, Stefano Schiavon, Luigi Gallo, Giovanni Bittante, Diana Giannuzzi

“…The results for the associations of the predicted biomarkers of the stress response with iCF and DO were consistent with expected physiological patterns. …”
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Improving hierarchical ammonium control operation in wastewater treatment with non-ideal sensors and actuators using filters, adaptive control and measurement error prediction by I. Santín, M. Meneses, C. Pedret, M. Barbu, R. Vilanova

“…Thus, ammonium measurement errors are predicted to correct the delay caused by the filters. …”
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Publisher Correction: Predicting high sensitivity C-reactive protein levels and their associations in a large population using decision tree and linear regression by Somayeh Ghiasi Hafezi, Toktam Sahranavard, Alireza Kooshki, Marzieh Hosseini, Amin Mansoori, Elham Amir Fakhrian, Helia Rezaeifard, Mark Ghamsary, Habibollah Esmaily, Majid Ghayour-Mobarhan

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Negative Association of Gulf War Illness Symptomatology with Predicted Binding Affinity of Anthrax Vaccine Antigen to Human Leukocyte (HLA) Class II Molecules by Lisa M. James, Apostolos P. Georgopoulos

“…Results: We found that the severity of GWI symptomatology was negatively and significantly correlated with the strength of the predicted binding affinity of PA peptides to HLA-II molecules (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>r</mi><mo>=</mo><mo>−</mo><mn>0.356</mn><mo>,</mo><mo> </mo><mi>p</mi><mo><</mo><mn>0.001</mn><mo>)</mo></mrow></semantics></math></inline-formula>; the stronger the overall binding affinity, the weaker the symptoms. …”
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New bitongling regulates gut microbiota to predict angiogenesis in rheumatoid arthritis via the gut-joint axis: a deep neural network approach by Yin Guan, Xiaoqian Zhao, Yun Lu, Yue Zhang, Yan Lu, Yue Wang

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Developing a clinical prediction model to modify empirical antibiotics for non-typhoidal Salmonella bloodstream infection in children under-five in the Democratic Republic of Congo by Bieke Tack, Daniel Vita, Jules Mbuyamba, Emmanuel Ntangu, Hornela Vuvu, Immaculée Kahindo, Japhet Ngina, Aimée Luyindula, Naomie Nama, Tito Mputu, Justin Im, Hyonjin Jeon, Florian Marks, Jaan Toelen, Octavie Lunguya, Jan Jacobs, Ben Van Calster

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Environmental, socioeconomic, and sociocultural drivers of monkeypox transmission in the Democratic Republic of the Congo: a One Health perspective by Guangyu Lu, Zeyin Chong, Enyu Xu, Ce Na, Kaixuan Liu, Liying Chai, Pengpeng Xia, Kai Yang, Guoqiang Zhu, Jinkou Zhao, Olaf Müller

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Factors Indicating the Accuracy of Fetal Weight Estimation in Preterm Newborns with Normal Amniotic Fluid Volume by Onur Guralp, Nevin Tuten, Abdullah Tuten, Altay Gezer

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UK Biobank MRI data can power the development of generalizable brain clocks: A study of standard ML/DL methodologies and performance analysis on external databases by Marco Capó, Silvia Vitali, Georgios Athanasiou, Nicole Cusimano, Daniel García, Garth Cruickshank, Bipin Patel

Subjects: “…Brain age prediction…”
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Evolving concepts in intracranial pressure monitoring - from traditional monitoring to precision medicine by Rohan Mathur, Lin Cheng, Josiah Lim, Tej D. Azad, Peter Dziedzic, Eleanor Belkin, Ivanna Joseph, Bhagyashri Bhende, Sudha Yellapantula, Niteesh Potu, Austen Lefebvre, Vishank Shah, Susanne Muehlschlegel, Julian Bosel, Tamas Budavari, Jose I. Suarez

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Risk factors of 180-day rebleeding after management of blunt splenic injury without surgery and embolization: a national database study by Chung-Yen Chen, Hung-Yu Lin, Pie-Wen Hsieh, Yi-Kai Huang, Po-Chin Yu, Jian-Han Chen

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Association between triglyceride glucose index and adverse cardiovascular prognosis in patients with atrial fibrillation without diabetes: a retrospective cohort study by Aobo Gong, Ying Cao, Zexi Li, Wentao Li, Fanghui Li, Yao Tong, Xianjin Hu, Rui Zeng

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The association of lifestyle with cardiovascular and all-cause mortality based on machine learning: a prospective study from the NHANES by Xinghong Guo, Mingze Ma, Lipei Zhao, Jian Wu, Yan Lin, Fengyi Fei, Clifford Silver Tarimo, Saiyi Wang, Jingyi Zhang, Xinya Cheng, Beizhu Ye

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