RETRACTED: Identification of novel candidate targets for suppressing ovarian cancer progression through IL-33/ST2 axis components using the system biology approach by Geovanny Genaro Reivan Ortiz, Carmen Iulia Ciongradi, M. V. N. L. Chaitanya, Jayasankar Narayanan, Mohamed Mohany, Salim S. Al-Rejaie, José Luis Arias-Gonzáles, Ioan Sârbu, Marjan Assefi, Shaik Vaseem Akram, Yusuf Döğüş, Abolfazl Bahrami, Reza Akhavan-Sigari, Reza Akhavan-Sigari

“…Therefore, targeting the IL-33/ST2 axis could have potential value in the prevention of OvC progression.…”
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Predictive Value of Kidney Failure Risk Equation and Neutrophil Gelatinase-Associated Lipocalin for Chronic Kidney Disease Progression in Chinese Population – A Retrospective... by Shi L, Liao Y, Chen Y

“…The AUC of the 4-variable KFRE plus NGAL was significantly higher than those of the 4-variable KFRE and NGAL alone (0.900 vs 0.711, Z = 6.297, P < 0.001; 0.900 vs 0.736, Z = 5.795, P < 0.001), and the AUC of the 8-variable KFRE plus NGAL was also significantly higher than those of the 8-variable KFRE and NGAL alone (0.911 vs 0.725, Z = 6.491, P < 0.001; 0.911 vs 0.736, Z = 6.298, P < 0.001).Conclusion: The KFRE was able to independently predict progression of CKD stage 3– 5 to ESRD in Chinese population. …”
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Discontinuation of immune checkpoint inhibitors for reasons other than disease progression and the impact on relapse and survival of advanced melanoma patients. A systematic review... by Konstantinos Lallas, Eftychia Chatziioannou, Derya Durak, Georg Frey, Lina Maria Serna-Higuita, Marie-Lena Rasch, Athanassios Kyrgidis, Eleni Timotheadou, Zoe Apalla, Ulrike Leiter, Lukas Flatz, Lukas Flatz, Aimilios Lallas, Teresa Amaral, Teresa Amaral

“…From 2542 patients discontinued treatment with ICIs electively or due to TLTs, 495 experienced progression [number of studies (n)=34, RR 20.9%, 95%CI 17.1 – 24.7%, I2 85%) and higher rates were detected in patients with TLTs compared to elective discontinuation. …”
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Alzheimer’s Disease Detection from Retinal Images Using Machine Learning and Deep Learning Techniques: A Perspective by Adilet Uvaliyev, Leanne Lai Hang Chan

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Pathological Insights into Liquid Biopsy: Role of Circulating Tumor DNA in Oral Cancer Prognosis and Therapy by Raima Kalhoro, Fatima Sarfraz, Shahzaman Memon, Ayesha Atique, Sajid Ali Majeedano, Muqaddas Fatima, Kanwal Ehsan Khan

“…Circulating tumor DNA (ctDNA) represents a non-invasive biomarker through liquid biopsy because it enables cancer detection disease monitoring and therapy response assessment. …”
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Basketball free throw hit probability prediction system based on deep learning object detection and pose estimation by Hao Deng

“…With the rapid progress of artificial intelligence, deep learning technology has been extensively adopted in sports. …”
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The Distinct Ultrasound Characteristics and Prognostic Features of Insulin-Induced Lipohypertrophy: A Systematic Review by Yang H, Zhang L, Dong Q, She Y, Zhang Y, Cao M, Xu M, Chu S

“…However, its ultrasound characteristics, classification, and progression patterns remain poorly understood. This review aimed to systematically analyze the ultrasound characteristics and progression patterns of LH, and explore the relationship between different LH types and clinical outcomes.Methods: A systematic literature search was conducted from January 2000 to October 2024 in PubMed, Web of Science, Embase, and Cochrane Library following PRISMA guidelines. …”
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Twitch force in human Amyotrophic Lateral Sclerosis by Laura Libonati, Chiara Cambieri, Marco Ceccanti, Federica Moret, Matteo Di Giulio, Eleonora Palma, Maurizio Inghilleri, Maurizio Inghilleri

“…These adaptations may preserve muscle function and elevate CK levels, suggesting better muscle integrity in slow progressors.ConclusionMuscle function profiles and CK levels are promising indicators of ALS progression. These findings could enhance early detection of disease progression and lead to targeted interventions to preserve muscle function. …”
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Intelligent GPR Detection of Backfill Grouting Quality and Adjacent Soil Cavities in Shield Tunnels: A Case Study by Guangyuan Cai, Xiongyao Xie, Kang Li

“…This research advances the automation and intelligence of backfill grouting and cavity detection, supporting the safe and efficient progress of shield tunnel construction.…”
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Advancements in Circulating Tumor Cell Detection for Early Cancer Diagnosis: An Integration of Machine Learning Algorithms with Microfluidic Technologies by Ling An, Yi Liu, Yaling Liu

“…Several microfluidic techniques, including size-based filtration, dielectrophoresis, and immunoaffinity capture, have been developed to enhance CTC detection. The integration of machine learning (ML) with microfluidic systems has further improved the specificity and accuracy of CTC detection, significantly advancing the speed and efficiency of early cancer diagnosis. …”
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A novel dual-branch network for comprehensive spatiotemporal information integration for EEG-based epileptic seizure detection. by Xiaobing Deng

“…Deep learning EEG-based detection methods have made significant progress, but still face challenges such as the underutilization of spatial relationships, inter-individual physiological variability, and sequence intricacies. …”
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Outcomes of obstetric versus non-obstetric acute kidney injury: insights from an Indian tertiary care centre by Beauty Suman, Lalit Pursnani, Himansu Sekhar Mahapatra, Ashok Kumar, B. Muthukumar, Renju Binoy, Tanvi Thakker, Mahboob Alam, Abhishek Jha

“…Conclusion Non-obstetric AKI showed higher early mortality but better long-term recovery, while obstetric AKI had poorer renal outcomes and a higher risk of progression to CKD. Early detection and intervention are critical for improving outcomes.…”
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Achieving Computational Gains with Quantum Error-Correction Primitives: Generation of Long-Range Entanglement Enhanced by Error Detection by Haoran Liao, Gavin S. Hartnett, Ashish Kakkar, Adrian Tan, Michael Hush, Pranav S. Mundada, Michael J. Biercuk, Yuval Baum

“…The resource overhead required to achieve net computational benefits from quantum error correction (QEC) limits its utility while current systems remain constrained in size, despite exceptional progress in experimental demonstrations. In this paper, we demonstrate that the strategic application of QEC primitives without logical encoding can yield significant advantages on superconducting processors—relative to any alternative error-reduction strategy—while only requiring a modest overhead. …”
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Achieving Computational Gains with Quantum Error-Correction Primitives: Generation of Long-Range Entanglement Enhanced by Error Detection by Haoran Liao, Gavin S. Hartnett, Ashish Kakkar, Adrian Tan, Michael Hush, Pranav S. Mundada, Michael J. Biercuk, Yuval Baum

“…The resource overhead required to achieve net computational benefits from quantum error correction (QEC) limits its utility while current systems remain constrained in size, despite exceptional progress in experimental demonstrations. In this paper, we demonstrate that the strategic application of QEC primitives without logical encoding can yield significant advantages on superconducting processors—relative to any alternative error-reduction strategy—while only requiring a modest overhead. …”
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Blood-based biomarkers and neuroimaging for early detection of post-stroke cognitive impairment: current evidence and synergistic prospects by Ping Li, Yue Xin, Chunxiao Li, Laisong Yao, Yuekang Su

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Low capacity for molecular detection of Alphaviruses other than Chikungunya virus in 23 European laboratories, March 2022. by Laura Pezzi, Ramona Moegling, Cécile Baronti, Kamelia R Stanoeva, Lance D Presser, Pauline Jourdan, Nazli Ayhan, Willem M R van den Akker, Stephan Zientara, Céline M Gossner, Rémi N Charrel, Chantal B E M Reusken, EVD-LabNet

“…Here we evaluated molecular detection of alphaviruses in expert European laboratories by conducting an EQA in March 2022. …”
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Paving the way to detect adult malnourished patients in resource-limited settings: the first step to the right to nutritional care by E Van Tonder, FAM Wenhold, R Blaauw

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Deep Learning Network Selection and Optimized Information Fusion for Enhanced COVID-19 Detection: A Literature Review by Olga Adriana Caliman Sturdza, Florin Filip, Monica Terteliu Baitan, Mihai Dimian

“…Information fusion techniques, which operate at the data, feature, and decision levels, enhance diagnostic performance. However, progress in COVID-19 detection is hindered by ongoing issues stemming from restricted and non-uniform datasets, as well as domain differences in image standards and complications with both diagnostic overfitting and poor generalization capabilities. …”
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Predominant Bacteria Detected from the Middle Ear Fluid of Children Experiencing Otitis Media: A Systematic Review. by Chinh C Ngo, Helen M Massa, Ruth B Thornton, Allan W Cripps

“…This result was consistent, even where improved detection sensitivity from the use of polymerase chain reaction (PCR) rather than bacterial culture was conducted. …”
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EEG-Based Seizure Detection Using Dual-Branch CNN-ViT Network Integrating Phase and Power Spectrograms by Zhuohan Wang, Yaoqi Hu, Qingyue Xin, Guanghao Jin, Yazhou Zhao, Weidong Zhou, Guoyang Liu

“…Although significant progress has been made in epileptic seizure detection methods using time–frequency analysis, current research still faces challenges in terms of an insufficient utilization of phase information. …”
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