Advances in liver organoids: replicating hepatic complexity for toxicity assessment and disease modeling by Weidong Shao, Hui Xu, Kanghua Zeng, Mingzhou Ye, Renjun Pei, Kai Wang

“…The intrinsic advantages of liver organoids include higher sensitivity and suitability for long-term studies, which enhance the predictive value in drug and nanomaterial toxicity testing. …”
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Variability in storm season intensity modulates ocean acidification conditions in the northern Strait of Georgia by Wiley Evans, Katie Campbell, Carrie Weekes, Justin Del Bel Belluz, Jessy Barrette, Drew Jordison, Chris Mackenzie, Jonathan Bergshoeff, Carolyn Prentice, Rosie Savage, Isabelle Desmarais, Bryn Fedje, Emma Myers, Kimberly Bedard, Alex Hare, Ian J. W. Giesbrecht, Colleen T. E. Kellogg, Zoe Sandwith, Jennifer M. Jackson

“…This sensitivity to the storm season intensity highlights how vulnerable the northern Strait of Georgia is to subtle changes in environmental forcing and provides some predictive capacity for OA conditions over the coming year. …”
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The Burden of NAFLD and Its Characteristics in a Nationwide Population with Type 2 Diabetes by Gabriele Forlani, Carlo Giorda, Roberta Manti, Natalia Mazzella, Salvatore De Cosmo, Maria Chiara Rossi, Antonio Nicolucci, Paolo Di Bartolo, Antonio Ceriello, Pietro Guida, AMD-Annals Study Group

“…ALT levels are not predictive of NAFLD.…”
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Phenotypic variability and the gender paradox in the R363C variant of Fabry disease by Alison C. Leslie, Jeanine Jarnes, Alia Ahmed, Sofia Shrestha, Jeffrey Wang, Chester B. Whitley, Nishitha R. Pillai

“…This report underscores the complexity of Fabry disease phenotypes and the limitations of current biomarkers in predicting disease severity, particularly in females. …”
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Usefulness of Discarded Vitreous Samples from Routine Vitrectomy by Natàlia Vilà, Pablo Zoroquiain, Vasco Bravo-Filho, Emilia Antecka, Helena Dietrich, John C. Chen, I. John Galic, Michael A. Kapusta, Miguel N. Burnier

“…The presence of inflammatory cells was the feature with the highest sensitivity for detecting diabetes mellitus (98%) and also the highest negative predictive value (89%). In the multivariate analysis, three variables emerged as independent significant predictors of diabetes in vitrectomy samples: hemorrhage, endothelial-lined vessels, and age (P<0.001, P<0.001, and P=0.019, resp.). …”
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A Bioinformatics Analysis Reveals a Group of MocR Bacterial Transcriptional Regulators Linked to a Family of Genes Coding for Membrane Proteins by Teresa Milano, Sebastiana Angelaccio, Angela Tramonti, Martino Luigi Di Salvo, Roberto Contestabile, Stefano Pascarella

“…A bioinformatics analysis is here reported that studied the features of a distinct group of MocR regulators predicted to be functionally linked to a family of homologous genes coding for integral membrane proteins of unknown function. …”
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Ferroptosis in thyroid cancer: mechanisms, current status, and treatment by Wenzhi Tian, Wenzhi Tian, Xi Su, Chenchen Hu, Dong Chen, Peng Li

“…These findings underscore the significance of ferroptosis in thyroid cancer and offer valuable insights into the development of novel therapeutic strategies and precise predictive markers. The unique mechanisms of ferroptosis present opportunities for targeting treatment-resistant thyroid cancers. …”
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Brain Networks Connectivity in Mild to Moderate Depression: Resting State fMRI Study with Implications to Nonpharmacological Treatment by Dmitry D. Bezmaternykh, Mikhail Ye. Melnikov, Andrey A. Savelov, Lyudmila I. Kozlova, Evgeniy D. Petrovskiy, Kira A. Natarova, Mark B. Shtark

“…Weak baseline connectivity in this pair also predicted improvement on Montgomery-Asberg scale in both treatment and no treatment groups. …”
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Harnessing the potential of shared data in a secure, inclusive, and resilient manner via multi-key homomorphic encryption by David Ha Eun Kang, Duhyeong Kim, Yongsoo Song, Dongwon Lee, Hyesun Kwak, Brian W. Anthony

“…Using the AI4I public predictive maintenance dataset, we demonstrate the MK-HELR algorithm, setting the stage for further research in secure, dynamic, and collaborative multi-party learning scenarios.…”
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An innovative thermal protective clothing system for firefighters by Gilda Santos, Rita Marques, Francisca Marques, João Ribeiro, André Fonseca, João M. Miranda, João B. L. M. Campos, Soraia F. Neves

“…This study consists in the development of a protective clothing system composed by a vest, specially designed to protect the torso (back, chest and abdomen) with a layer of PCM pouches, to be worn over a fire-resistant jacket – selection and design based on numerical models’ predictions. Therefore, several mockups were made, varying the number of PCM pouches and their distribution in the vest, allowing the creation of air ducts to increase the breathability of the vest. …”
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Prognostic Factors for Immune Thrombocytopenia Outcome in Greek Children: A Retrospective Single-Centered Analysis by Alexandros Makis, Athanasios Gkoutsias, Theodoros Palianopoulos, Eleni Pappa, Evangelia Papapetrou, Christina Tsaousi, Eleftheria Hatzimichael, Nikolaos Chaliasos

“…Even though ITP in children usually has a self-limited course, with rare serious bleeding complications, the chronic form of the disease is characterized by different predictive parameters, which can be used in clinical practice.…”
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Elucidating governing factors of PFAS removal by polyamide membranes using machine learning and molecular simulations by Nohyeong Jeong, Shinyun Park, Subhamoy Mahajan, Ji Zhou, Jens Blotevogel, Ying Li, Tiezheng Tong, Yongsheng Chen

“…Utilizing the Shapley additive explanation method for XGBoost model interpretation unveils the impacts of both PFAS characteristics and membrane properties on model predictions. The examination of the impacts of chemical structure involves interpreting the multimodal transformer model incorporated with simplified molecular input line entry system strings through heat maps, providing a visual representation of the attention score assigned to each atom of PFAS molecules. …”
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Two Novel Mutations Identified in an African-American Child with Chediak-Higashi Syndrome by Kerry Morrone, Yanhua Wang, Marjan Huizing, Elie Sutton, James G. White, William A. Gahl, Karen Moody

“…We identified 2 nonsense mutations in the CHS1 gene, the first mutation analysis published of an African-American child with Chediak-Higashi Syndrome. These two mutations predict a severe phenotype and thus identification of these mutations has an important clinical significance in CHS.…”
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The zinc finger protein560(ZNF560) functions as a novel oncogenic gene in osteosarcoma by Xiong Dong, Guanhua Xu, Hongxiang Hong, Jinlong Zhang, Zhiming Cui, ZiLiang Yu

“…Conclusion: Collectively, these findings suggest that ZNF560 has the potential to serve as a predictive biomarker for osteosarcoma.…”
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An Adsorption Model Considering Fictitious Stress by Xiaohua Tan, Xinjian Ma, Xiaoping Li, Yilong Li

“…After fitting this model to experimental data, it demonstrated high accuracy in predictions. Furthermore, our investigation into how factors such as curvature fractal dimension, capillary fractal dimension, and fictitious stress influence gas adsorption capacity reveals several key findings. …”
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Real-Time Deployment of Ultrasound Image Interpretation AI Models for Emergency Medicine Triage Using a Swine Model by Sofia I. Hernandez Torres, Lawrence Holland, Theodore Winter, Ryan Ortiz, Krysta-Lynn Amezcua, Austin Ruiz, Catherine R. Thorpe, Eric J. Snider

“…The first implementation was a manual AI-driven ultrasound eFAST tool that used guidance models to select correct frames prior to making any diagnostic predictions. The second implementation was a robotic imaging platform capable of providing semi-autonomous image acquisition combined with diagnostic image interpretation. …”
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Gene Regulatory Network of Human GM-CSF-Secreting T Helper Cells by Szabolcs Éliás, Angelika Schmidt, David Gomez-Cabrero, Jesper Tegnér

“…By combining information about mRNA expression, DNA accessibility, and predicted transcription factor binding, we reconstructed directed gene regulatory networks connecting transcription factors to their targets, which comprise putative key regulators of human GM-CSF-positive CD4 T cells as well as memory CD4 T cells. …”
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Applying multi-theory model to determine intentions to smoking cessation among male health worker smokers in Kabul, Afghanistan by Mousa Bashir, Farkhondeh Amin Shokravi, Anoshirvan Kazemnejad

“…A fourth-generation behavioral framework, namely the Multi-Theory Model (MTM) of health behavior change was used to predict the initiation and maintenance of smoking cessation among health worker smokers.MethodsA cross-sectional study of 170 smoking healthcare workers was conducted in Kabul. …”
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Automatic Coastline Detection Using Coastsat Toolbox and GIS: A Case Study at Oued-Laou Beach, Morocco by Souiri Smail, Hakkou Mounir, Haddaoui Hatim, Oubdil Soufiane, Lmrimed Nargiss

“…Accurate and timely shoreline mapping is essential for understanding coastal dynamics, predicting erosion, and guiding sustainable management strategies. …”
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The Relationship of Sirtuin 1 and Sirtuin 2 Expression with Clinicopathological Parameters in Non Small-Cell Lung Carcinomas by Fatma Cakmak Kazanci, Nagehan Barisik Ozdemir, Sibel Sensu, Cem Cahit Barisik

“…Aim: Recent studies have shown that sirtuin signaling pathway activation could be a potential therapeutic target for future therapies and biomarkers for predicting prognosis in cancer. We aimed to investigate the association between Sirtuin 1 (SIRT1) and Sirtuin 2 (SIRT2) immunohistochemical (IHC) protein expression in tumors and clinicopathological parameters and survival profiles in non-small cell lung cancer (NSCLC) patients. …”
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