Uterine leiomyoma-like inflammatory myofibroblastic tumour with a rare ALK::SYN3 fusion: a clinicopathologic and molecular analysis by Cao Ma, Xiaoying Wei, Zhe Chen, Xiangzhi Hao, Yuping Sun, Jie Zi, Chunyan Chu, Lihua Zhang

“…Abstract Uterine inflammatory myofibroblastic tumour (IMT) is a relatively rare mesenchymal tumour of the uterus, with recurrence and metastasis rates of 25% and 2%, respectively. …”
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The current state of the problem of diagnosis and therapy of depressive disorders (a literature review) by V. L. Pidlubnyi, M. Ye. Khomitskyi

“…The significant role of a general practitioner as a key link in the identification and treatment of the described phenomena, which automatically presents to these specialists a number of professional, qualification and personal requirements, such as knowing pathogenesis of depressive disorders, the features of their pharmacotherapy, skills to build compliant relationships with patients, is highlighted apart. …”
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A Report of Primary Pyogenic Ventriculitis Caused by Streptococcus Constellatus Diagnosed by Metagenomic Next-Generation Sequencing by Zhang D, Deng M, Li F, Shen R

“…Due to the challenges in early diagnosis and the potential for suboptimal treatment, this condition carries a significant risk of complications such as recurrence, hydrocephalus, and death. Metagenomic next-generation sequencing (mNGS) enables the rapid and broad-spectrum identification of pathogens, facilitating timely and precise diagnosis.Case Report: This study presents the first reported case of primary ventriculitis caused by Streptococcus constellatus. …”
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Degenerated (Ancient) Schwannomas: Unraveling Unusual Locations and Treatment Management by Ali Dalgıç, Servet Güreşci, Bekir Tunç, Egemen Işıtan, Zeynep Dağlar, Emin Çağıl, Yigit Can Senol, Goksal Gunerhan

“…Among them, ancient schwannomas, with distinctive degenerative features, present in atypical locations and pose diagnostic challenges. …”
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EXPERIENCE OF USING DIGITAL SYSTEMS FOR DIAGNOSTICS OF HYPERTROPHIC SKIN SCARS OF FACE by D.S. Avetikov, O.P. Bukhanchenko, I.O. Ivanytsky, N.A. Sokolova, I.V. Boyko

“…Due to the proposed method, the features of architectonic layers of the skin in the area of hypertrophic scar have been studied in detail. …”
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Prediction of the Immune Phenotypes of Bladder Cancer Patients for Precision Oncology by Hyuna Cho, Feng Tong, Sungyong You, Sungyoung Jung, Won Hwa Kim, Jayoung Kim

“…Immune phenotypes were analyzed with gene expressions using traditional but powerful classification methods such as random forests, Deep Neural Networks (DNN), Support Vector Machines (SVM) together with boosting and feature selection methods. Specifically, DNN yielded the highest area under the curve (AUC) with precision and recall (PR) curves and receiver operating characteristic (ROC) curves for each phenotype (<inline-formula><tex-math notation="LaTeX">$0.711 \pm 0.092$</tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX">$0.86 \pm 0.039$</tex-math></inline-formula>, respectively) resulting in the identification of gene expression features useful for immune phenotype classification. …”
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Artificial Intelligence and Novel Technologies for the Diagnosis of Upper Tract Urothelial Carcinoma by Nikolaos Kostakopoulos, Vasileios Argyropoulos, Themistoklis Bellos, Stamatios Katsimperis, Athanasios Kostakopoulos

“…In this review article, we investigated the application of artificial intelligence and novel technologies in the prompt identification of high-grade UTUC to prevent metastases and facilitate timely treatment. …”
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Wilms’ Tumor: A Review of Clinical Characteristics, Treatment Advances, and Research Opportunities by Mihai Cristian Neagu, Vlad Laurenţiu David, Emil Radu Iacob, Sorin Dan Chiriac, Florin Lucian Muntean, Eugen Sorin Boia

“…Identifying predictors for treatment response, such as specific genetic markers and histologic features, emerges as a critical area of study that could refine future interventions. …”
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The Prevalence, Predictors, and In-Hospital Mortality of Hepatic Encephalopathy in Patients with Liver Cirrhosis Admitted at St. Dominic Hospital in Akwatia, Ghana by Amoako Duah, Adwoa Agyei-Nkansah, Foster Osei-Poku, Francisca Duah, Daniel Ampofo-Boobi, Bright Peprah

“…Decrease in HE mortality and recurrence has been linked with timely identification and early treatment. …”
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The role of artificial intelligence and image processing in the diagnosis, treatment, and prognosis of liver cancer: a narrative-review by Platon Dimopoulos, Admir Mulita, Andreas Antzoulas, Sylvain Bodard, Vasileios Leivaditis, Ioanna Akrida, Nikolaos Benetatos, Konstantinos Katsanos, Christos-Nikolaos Anagnostopoulos, Francesk Mulita

“…Predictive models aid prognosis estimation and recurrence pattern identification, facilitating personalised treatment planning. …”
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3D spectral CT-based fusion model predicts prognosis and postoperative adjuvant chemotherapy benefit in locally advanced rectal cancer by Shuxuan Fan, Jiaxin Liu, Xiaomeng Yang, Lisha Qi, Xiaomei Lu, Haiwei Liu, Xiaonan Cui

“…Abstract Early identification of high-risk recurrence patients is crucial as it can provide information for treatment decisions, achieve personalized treatment, and maximize the benefits for locally advanced rectal cancer (LARC). …”
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Diagnostic, Therapeutic, and Prognostic Applications of Artificial Intelligence (AI) in the Clinical Management of Brain Metastases (BMs) by Kyriacos Evangelou, Panagiotis Zemperligkos, Anastasios Politis, Evgenia Lani, Enrique Gutierrez-Valencia, Ioannis Kotsantis, Georgios Velonakis, Efstathios Boviatsis, Lampis C. Stavrinou, Aristotelis Kalyvas

“…Moreover, AI-based prognostic models can significantly ameliorate survival and recurrence risk prediction, further contributing to follow-up strategy personalization. …”
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On the In Vivo Recognition of Kidney Stones Using Machine Learning by Francisco Lopez-Tiro, Vincent Estrade, Jacques Hubert, Daniel Flores-Araiza, Miguel Gonzalez-Mendoza, Gilberto Ochoa, Christian Daul

“…Determining the type of kidney stones allows urologists to prescribe a treatment to avoid the recurrence of renal lithiasis. An automated in-vivo image-based classification method would be an important step towards an immediate identification of the kidney stone type required as a first phase of the diagnosis. …”
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A common cortical circuit mechanism for perceptual categorical discrimination and veridical judgment. by Feng Liu, Xiao-Jing Wang

“…Perception involves two types of decisions about the sensory world: identification of stimulus features as analog quantities, or discrimination of the same stimulus features among a set of discrete alternatives. …”
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(2, 2p + 1) minimal string and intersection theory I by A. Artemev, I. Chaban

“…Abstract In view of the recent progress in studying matrix model-2D gravity duality, we reexamine some features of (2, 2p + 1) minimal string. After reviewing both sides of the proposed correspondence in this case, a previously unnoted identification between correlation numbers of tachyon operators in certain domain of parameter space and “p-deformed volumes”, which are certain integral transforms of topological recursion data, is described and clarified. …”
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Verruciform xanthoma in mandibular gingiva and vestibular sulcus: two cases report and literature review by YANG Mengxin, ZHAN Yao, SONG Zhifeng

“…The clinical features and pathological characteristics of both cases are described in detail, and information from a literature review on verruciform xanthoma is provided. …”
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Multimodal Data Fusion Framework for Early Prediction of Autism Spectrum Disorder by Mohemmed Sha, Hussein Al-Dossary, Mohamudha Parveen Rahamathulla

“…Therefore, a framework was suggested to assess different deep learning models for the early identification of ASD. The proposed framework consists of four modules such as stacked bidirectional long short-term memory (SBiLSTM) using attention mechanism for representing text/numerical features, multilevel 2D-convolutional neural network–gated recurrent units (ABM-2D-CNN–GRUs) using attention mechanism for extracting facial features, and multimodal factorized bilinear (MFB) pooling for combining the features. …”
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The Relationship between Skin Diseases and Nutritional Deficiencies in Children by Nova Zairina Lubis, Fitriend Syahputri

“…Aims: This review aims to explore the relationship between nutritional deficiencies and skin diseases in children, emphasizing clinical features, diagnostic approaches, and effective treatment strategies. …”
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Median interacted pigeon optimization-based hyperparameter tuning of CNN for paddy leaf disease prediction by Jasmy Davies, S. Sivakumari

“…Thus, a novel Coherent Point Graph Recurrent Network (CPGRN) is introduced, which captures structural branching patterns and recurrent neural networks for temporal coherence, enabling precise segmentation of fungal hyphae. …”
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A multi-data fusion deep learning model for prognostic prediction in upper tract urothelial carcinoma by Hongdi Sun, Siping Chen, Yongxing Bao, Fengyan You, Honghui Zhu, Xin Yao, Lianguo Chen, Lianguo Chen, Jiangwei Miao, Fanggui Shao, Fanggui Shao, Xiaomin Gao, Binwei Lin

“…Precision-recall analysis confirmed strong identification of high-risk patients despite dataset imbalance. …”
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