Fast TILs—A pipeline for efficient TILs estimation in non-small cell lung cancer by Nikita Shvetsov, Anders Sildnes, Masoud Tafavvoghi, Lill-Tove Rasmussen Busund, Stig Manfred Dalen, Kajsa Møllersen, Lars Ailo Bongo, Thomas Karsten Kilvær

“…Additionally, we employ randomized patch sampling to further reduce the processed patch amount. We evaluate the effectiveness of the patch sampling procedure, the pipeline's ability to identify informative patches and computational efficiency, and the clinical value of produced scores using patient survival data.Our pipeline demonstrates the ability to selectively process informative patches, achieving a balance between computational efficiency and prognostic integrity. …”
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EBV-positive inflammatory follicular dendritic cell sarcoma occurring in different organs: a case report and literature review by Wenhua Bai, Chunfang Hu, Zheng Zhu

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LINGUISTIC READINESS OF STUDENTS WITH MAJOR IN LANGUAGES FOR INTERNATIONAL STANDARDIZED TESTS by O. Nikishina, S. Tsvetkova

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Associations of Vocal Features, Psychiatric Symptoms, and Cognitive Functions in Schizophrenia by Natsuyama T, Chibaatar E, Shibata Y, Okamoto N, Cruz Victorino JN, Ikenouchi A, Shibata T, Yoshimura R

“…By looking at how vocal features and cognitive functions relate, we can develop improved evaluation methods that may lead to better treatment outcomes. …”
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Bag of Feature-Based Ensemble Subspace KNN Classifier in Muscle Ultrasound Diagnosis of Diabetic Peripheral Neuropathy by Kadhim K. Al-Barazanchi, Ali H. Al-Timemy, Zahid M. Kadhim

“…Quantitative assessment is generally regarded as more reliable and sensitive than visual evaluation, which often necessitates specialized expertise. …”
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Clinical insights into Wilkie's syndrome: A case report and review of relevant literature by Elias Ledezma Flores, Adolfo Calderón Fernández, Arturo Urias Pompa, Liza María Pompa González, MD, PhD

“…Contrast-enhanced computed tomography revealed marked gastric dilation and duodenal distension, an aortomesenteric distance of 4.71 mm, and an aortomesenteric angle of 10.95°, confirming the diagnosis. …”
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A tailored deep learning approach for early detection of oral cancer using a 19-layer CNN on clinical lip and tongue images by Pinjie Liu, Kambiz Bagi

“…Comprehensive performance evaluation employs established metrics—accuracy, sensitivity, specificity, precision, and F1-score. …”
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Imaging findings of familial adenomatous polyposis-associated aggressive mesenteric fibromatosis: A case report by Stošić Srđan, Sotirović-Seničar Slavica

“…CT and MRI play a crucial role in evaluation and planning an optimal treatment model for patients with mesenteric fibromatosis.…”
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BioGAN: Enhancing Transcriptomic Data Generation with Biological Knowledge by Francesca Pia Panaccione, Sofia Mongardi, Marco Masseroli, Pietro Pinoli

“…The advancement of computational genomics has significantly enhanced the use of data-driven solutions in disease prediction and precision medicine. …”
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Thermal and Thermo-Hydraulic Performance of a Semi-Circular Solar Air Collector Utilizing an Innovative Configuration of Metal Foams by Basim A. R. Al-Bakri, Ali M. Rasham, Ali O. Al-Sulttani

“…Also, the performance evaluation factor of this model is greater than one in all cases. …”
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A Comparative Study of RANS and PANS Turbulence Models for Flow Characterization Around the Joubert BB2 Submarine by Changhun Lee, Hyeri Lee, Woochan Seok

“…Cross-sectional and circumferential velocity distributions in the propeller plane further highlighted PANS’s enhanced turbulence fidelity, which is essential for downstream propeller performance evaluation. Overall, the findings support the suitability of the PANS model as a practical and computationally efficient alternative to RANS for high-fidelity submarine flow simulations, particularly in wake-sensitive applications where LES remains computationally prohibitive.…”
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Multispectral Semantic Segmentation for Land Cover Classification: An Overview by Leo Thomas Ramos, Angel D. Sappa

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Comparison between postprocessing software and repeated scanning to eliminate subdiaphragmatic activity in myocardial perfusion scintigraphy by Daris Theerakulpisut, Chanisa Chotipanich

“…Myocardial perfusion single photon emission computed tomography (SPECT) is a powerful test of evaluation for coronary artery disease, but subdiaphragmatic radiotracer activity often interferes with the interpretation of inferior wall findings. …”
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Product Engagement Detection Using Multi-Camera 3D Skeleton Reconstruction and Gaze Estimation by Matus Tanonwong, Yu Zhu, Naoya Chiba, Koichi Hashimoto

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Efficacy of home based computerized adaptive cognitive training in patients with post stroke cognitive impairment: a randomized controlled trial by Amit Kumar Soni, Mohit Kumar, Saroj Kothari

“…In this randomized controlled trial (RCT), we assessed the effectiveness of a 4-week, remotely-delivered, multi-domain, computer-adaptive cognitive retraining (CACT) program in patients with post-cognitive cognitive impairment. …”
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From radiolabeling to receptor quantification: preclinical assessment of [99mTc]Tc-carvedilol as a cardiac β-adrenoceptor probe by Hala F. Azhari

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Systematic Review of Image Segmentation Programs in Craniomaxillofacial Surgery by Khawla Rasheed, Auns Al-Neami, Haider Abbas

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Harnessing infrared thermography and multi-convolutional neural networks for early breast cancer detection by Omneya Attallah

“…This study proposes an advanced computer-aided diagnosis (CAD) system called Thermo-CAD to assess early breast cancer detection using thermal imaging, aimed at assisting radiologists. …”
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Carboxyl-containing quinazolines and related heterocycles as carriers of anti-inflammatory activity by N. I. Krasovska, V V. Stavytskyi, I. S. Nosulenko, O. Yu. Voskoboinik, S. I. Kovalenko

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Monte Carlo-Based Strategy for Assessing the Impact of EEG Data Uncertainty on Confidence in Convolutional Neural Network Classification by Pierre Sedi Nzakuna, Vincenzo Gallo, Vincenzo Paciello, Aime Lay-Ekuakille, Angelo Kuti Lusala

“…Electroencephalography (EEG) data acquisition process in Brain-Computer Interfaces (BCIs) is inevitably affected by uncertainty which introduces variability in the data. …”
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