PseudoCell: Hard Negative Mining as Pseudo Labeling for Deep Learning-Based Centroblast Cell Detection by Narongrid Seesawad, Piyalitt Ittichaiwong, Thapanun Sudhawiyangkul, Phattarapong Sawangjai, Peti Thuwajit, Paisarn Boonsakan, Supasan Sripodok, Kanyakorn Veerakanjana, Komgrid Charngkaew, Ananya Pongpaibul, Napat Angkathunyakul, Narit Hnoohom, Sumeth Yuenyong, Chanitra Thuwajit, Theerawit Wilaiprasitporn

“…<italic>Methods:</italic> <italic>PseudoCell</italic> leverages a combination of pathologist-provided centroblast labels and pseudo-negative labels generated from undersampled false-positive predictions based on cell morphology features. This approach reduces the reliance on time-consuming manual annotations. …”
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Validation of Effective Models for Simulation of Thermal Stratification and Mixing Induced by Steam Injection into a Large Pool of Water by Hua Li, Walter Villanueva, Markku Puustinen, Jani Laine, Pavel Kudinov

“…The Effective Heat Source (EHS) and Effective Momentum Source (EMS) models have been proposed to predict the development of thermal stratification and mixing during a steam injection into a large pool of water. …”
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Biphasic Chromatin Structure and FISH Signals Reflect Intranuclear Order by Jyoti P. Chaudhuri, Eva Kasprzycki, Mathew Battaglia, John R. McGill, Anton Brøgger, Joachim-U. Walther, Albrecht Reith

“…Similarly, a genome-wide monoallelic replication may tilt the balance of heterozygosity resulting in aneusomy, initiating early events in malignant transformation and in predicting cancer mortality.…”
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A Clinical Prospective Observational Cohort Study on the Prevalence and Primary Diagnostic Accuracy of Occult Vertebral Fractures in Aged Women with Acute Lower Back Pain Using Mag... by Atsushi Terakado, Sumihisa Orita, Kazuhide Inage, Go Kubota, Tomohiro Kanzaki, Hiroshi Mori, Yuji Shinohara, Junichi Nakamura, Yusuke Matsuura, Yasuchika Aoki, Takeo Furuya, Masao Koda, Seiji Ohtori

“…Furthermore, osteoporotic patients tend to show increased prevalence of VF (87.5%). The predictive values in detecting VF on the initial plain X-ray were as follows: sensitivity, 51.3%; specificity, 75.0%; and accuracy rate, 56.7%. …”
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Clinical Characteristics of Spinal Levobupivacaine: Hyperbaric Compared with Isobaric Solution by Vimolluck Sanansilp, Travuth Trivate, Phakaporn Chompubai, Shusee Visalyaputra, Pattipa Suksopee, Ladda Permpolprasert, Benno von Bormann

“…Our results suggest that hyperbaric levobupivacaine was more predictable for sensory block level and more effective for surgical procedures with lower abdominal approach. …”
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Current biomarkers of prostate cancer by I. A. Aboian, E. N. Fedotova, A. N. Shevchenko, S. M. Pakus, A. Yu. Maximov, E. V. Filatova, I. A. Khomutenko, Е. F. Komarova, N. K. Guskova

“…To determine aggressiveness and predict the outcome of the disease, tissue multigenic tests can be used, such as: T2-ERG, ExoDx, SelectMDx and ConfirmMDx, Prolaris, Oncoytype DX, Decipher. …”
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Single-cell sequencing elucidates the mechanism of NUSAP1 in glioma and its diagnostic and prognostic significance by Meng-Yu Zhao, Zhao-Lei Shen, Hongzhen Dai, Wan-Yan Xu, Li-Na Wang, Yu- Gu, Jie-Hui Zhao, Tian-Hang Yu, Cun-Zhi Wang, Jia-feng Xu, Guan-Jun Chen, Dong-Hui Chen, Wen-Ming Hong, Wen-Ming Hong, Fang Zhang

“…We found that elevated NUSAP1 expression correlated with poor prognosis, prompting further investigation of its functional role through both cellular and animal studies.ConclusionsNUSAP1-based risk models hold potential as predictive and therapeutic tools for personalized glioma treatment. …”
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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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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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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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