Germline variants of the MMR/EPCAM genes in Russian patients with Lynch syndrome by Aleksey S. Tsukanov, Aleksey A. Barinov, Vitaly P. Shubin, Anna N. Loginova, Dmitry Yu. Pikunov, Dmitry G. Shakhmatov, Yuri A. Shelygin, Sergey I. Achkasov

“…Thirteen (9.2%) of the detected variants were associated with large deletions/duplications. …”
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Comparative Study of Machine Learning and Deep Learning Models for Early Prediction of Ovarian Cancer by Hardik Dhingra, Roopashri Shetty

“…Ovarian cancer remains one of the most difficult gynecological cancers to detect early, often resulting in poor survival rates. …”
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Identifying modules of cooperating cancer drivers by Michael I Klein, Vincent L Cannataro, Jeffrey P Townsend, Scott Newman, David F Stern, Hongyu Zhao

“…We present Cancer Rule Set Optimization (CRSO) for inferring the combinations of alterations that cooperate to drive tumor formation in individual patients. …”
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Cooperative Graph-Based Predictive Collision Avoidance (CGPCA): A Decentralized Framework for Safe Drone Traffic Management by Fariborz Rasoulie

“…Each drone continuously broadcasts its state—such as position, velocity, and intended path—to nearby units, dynamically constructing a “traffic graph” that includes both drones and detected obstacles. Unlike traditional methods that rely on fixed geometric rules or purely reactive algorithms, CGPCA leverages predictive learning. …”
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Learning the Hit-or-Miss Transform-Based Morphological Neural Networks by Muhammad Aminul Islam, Sireesha Chimbili

“…In this article, we propose techniques to improve the learning of the hit-or-miss transform, a morphological operation developed to detect object shapes by simultaneously matching the foreground and background. …”
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Bayesian Regularization Backpropagation Neural Network for Glass Beams in Lateral–Torsional Buckling by Saddam Hussain, Chiara Bedon, Gaurav Kumar, Zaheer Ahmed

“…The potential and accuracy of artificial neural networks (ANN), based on ML methods, are addressed based on validation toward literature data. …”
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Single-trial FRPs: A Machine Learning Approach Towards the Study of the Neural Underpinning of Reading Disorders by Christoforos Christoforou, Timothy C. Papadopoulos, Maria Theodorou

“…In this paper, we proposed a machine learning approach for detecting neural components during free-naming, overcoming much of the current methodological challenges. …”
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Portable Nuclear Magnetic Resonance Spectrometer with Birdcage Coil for Non-destructive Testing and Analysis of Metallic Materials by Mostafa Noohi, Hassan Faraji Baghtash, Habib Badri Ghavifekr

“…In summary, NMR-based non-destructive testing for evaluating metallic materials provides accurate, quantitative and reliable data that can support decision-making processes, optimize manufacturing methods and ensure the safety and reliability of metallic components. …”
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Cost-Sensitive Radial Basis Function Neural Network Classifier for Software Defect Prediction by P. Kumudha, R. Venkatesan

“…In order to improve the software testing process, fault prediction methods identify the software parts that are more noted to be defect-prone. …”
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A Dual-Enhanced Hierarchical Alignment Framework for Multimodal Named Entity Recognition by Jian Wang, Yanan Zhou, Qi He, Wenbo Zhang

“…Although existing methods alleviate semantic deficiencies by optimizing image and text feature extraction and fusion, a fundamental challenge remains due to the lack of fine-grained alignment caused by cross-modal semantic deviations and image noise interference. …”
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Artificial intelligence networks for assessing the prognosis of gastrointestinal cancer to immunotherapy based on genetic mutation features: a systematic review and meta-analysis by Narges Norouzkhani, Hesam Mobaraki, Shirin Varmazyar, Hadis Zaboli, Zhina Mohamadi, Golnaz Nikeghbali, Kamyar Bagheri, Newsha Marivany, Mirmehdi Najafi, Mahdiyeh Nozad Varjovi, Mohamed Abouzeid, Hanieh Zeidi Baghrabad, Pooya Eini, Aida Azhdarimoghaddam, Farbod Khosravi, Mahsa Asadi Anar

“…Regression models and imputation methods addressed missing values, ensuring accurate and robust results. …”
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Whole genome sequencing completes the molecular genetic testing workflow of patients with Lynch syndrome by Klaudia Horti-Oravecz, Anikó Bozsik, Tímea Pócza, Ildikó Vereczkey, Tamás Strausz, Erika Tóth, Tatiana Sedlackova, Diana Rusnakova, Tomas Szemes, István Likó, Edit Oláh, Henriett Butz, Attila Patócs, János Papp, Vince Kornél Grolmusz

“…Abstract Multigene panel tests (MGPTs) revolutionized the diagnosis of Lynch syndrome (LS), however noncoding pathogenic variants (PVs) can only be detected by complementary methods including whole genome sequencing (WGS). …”
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The role of imaging in defining cardiovascular risk to help cancer patient management: a scoping review by Roberto Farì, Giulia Besutti, Pierpaolo Pattacini, Guido Ligabue, Francesco Piroli, Francesca Mantovani, Alessandro Navazio, Mario Larocca, Carmine Pinto, Paolo Giorgi Rossi, Luigi Tarantini

“…Routinely performed CTs predict cardiovascular risk, optimizing the management of cancer patients. Graphical Abstract…”
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Advances in Breast Cancer Care: The Role of Artificial Intelligence and Digital Pathology in Precision Medicine by Ayşe Hümeyra Dur Karasayar, İbrahim Kulaç, Nilgün Kapucuoğlu

“…This partnership is anticipated to transform breast cancer care by enhancing patient outcomes and optimizing treatment approaches.…”
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Topology-controlled Laplace–Beltrami operator on point clouds based on persistent homology by Ao Zhang, Qing Fang, Peng Zhou, Xiao-Ming Fu

“…Persistent homology is then employed to detect and eliminate spurious edges through a topological optimization process. …”
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Suture-Mediated Patent Fossa Ovalis Closure by Achille Gaspardone, MD, MPhil, Gregory A. Sgueglia, MD, PhD, Antonella De Santis, MD, Fabiana Piccioni, MD, Emanuela D’Ascoli, MD, Tommasa Siragusa, RCIS, Maria Iamele, MD, Maria Benedetta Giannico, MD, Fabrizio D’Errico, MD, Carlo Gaspardone, MD

“…The LASSO score is a valuable tool for optimizing patient selection for this procedure.…”
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Deep transfer learning for seismic characterization of strike-slip faults in karstified carbonates from the northern Tarim basin by Jiawei Liu, Guanghui Wu, Lixin Chen, Xiaoguo Wan, Bingshan Ma, Ransong Zhang, Chen Qiu, Xupeng Wang

“…For this contribution, we propose a method for constructing fault labels and introduce a deep transfer learning workflow using Unet to detect strike-slip faults in the northern Tarim Basin. …”
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Candidate Interventions for Integrating Hypertension and Cardiovascular-Kidney-Metabolic Care in Primary Health Settings: HEARTS 2.0 Phase 1 by Andres Rosende, Cesar Romero, Donald J. DiPette, Jeffrey Brettler, Patrick Van der Stuyft, Gautam Satheesh, Pablo Perel, Niamh Chapman, Andrew E. Moran, Aletta E. Schutte, James E. Sharman, Vilma Irazola, Mark D. Huffman, Norm R. C. Campbell, Abdul Salam, Fernando Lanas, Antonio Coca, Sebastian Garcia-Zamora, Alejandro Ferreiro, Patricio Lopez-Jaramillo, Jorge Rico-Fontalvo, Emily Ridley, Dean Picone, David Flood, Daniel José Piñeiro, Carolina Neira Ojeda, Gonzalo Rodriguez, Irmgardt A. Wellmann, Marcelo Orias, Marcela Rivera, Matías Villatoro Reyes, Oyere Onuma, Shaun Ramroop, Taskeen Khan, Yamile Valdes Gonzalez, Weimar Kunz Sebba Barroso, Frida L. Plavnik, Eric Zuniga, Ana María Grassani, Carlos Tajer, Ezequiel Zaidel, Marcos J. Marin, Shana Cyr-Philbert, Ignacio Amorin, Miguel Angel Diaz Aguilera, Luiz Bortolotto, Alvaro Avezum, Antonio Luiz P. Ribeiro, Sheldon Tobe, Teresa Aumala, Sonia Angell, Pablo Lavados, Sheila Ouriques Martins, Ana Munera Echeverri, Marc G. Jaffe, Dorairaj Prabhakaran, Gianfranco Parati, Xin Hua Zhang, Anthony Rodgers, Salim Yusuf, Paul K. Whelton, Pedro Ordunez

“…This paper focuses on Phase 1, highlighting targeted interventions to improve and update the HEARTS Clinical Pathway. Methods: First, the coordinating group defined the project’s scope, objectives, principles, methodological framework, and tools. …”
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An AI-driven machine learning approach identifies risk factors associated with 30-day mortality following total aortic arch replacement combined with stent elephant implantation by Shuai Zhang, Lulu Li, Jingyu Wang, Yuan Li, Yongkang Zhou, Yuqing Tao, Cuntao Yu, Xiaogang Sun, Hongwei Guo, Dong Zhao, Yi Chang, Jing Sun, Xiangyang Qian

“…By implementing the new method, the AUC value significantly improved from 0.6981 using the XGBoost model to 0.8687 with the PSO-ELM-FLXGBoost model.Conclusion In this study, machine learning methods were successfully established to predict ATAAD perioperative mortality, enabling the optimization of postoperative treatment strategies to minimize the postoperative complications following cardiac surgeries.…”
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Comprehensive HPV genotyping in Fars, Iran: Molecular epidemiology and implications for prevention by Amirreza Radfar, Neda Pirbonyeh, Afagh Moattari

“…HPV DNA was detected using nested PCR, and genotyping was performed via reverse hybridization. …”
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