Non-contact tracking of shoulder bones using ultrasound and stereophotogrammetry by Ahmed Sewify, Ahmed Sewify, Maxence Lavaill, Maxence Lavaill, Dermot O’Rourke, Dermot O’Rourke, Maria Antico, Maria Antico, Peter Pivonka, Peter Pivonka, Davide Fontanarosa, Davide Fontanarosa, Saulo Martelli, Saulo Martelli

“…We discovered that CPD may be a more suitable registration method for the task than ICP. …”
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Local adaptation and validation of a transdiagnostic risk calculator for first episode psychosis using mental health patient records by Elizabeth Ford, James Stone, James Stone, James Stone, Dominic Oliver, Dominic Oliver, Dominic Oliver, Benjamin Fell, Gloria Roque, Sam Robertson, Paolo Fusar-Poli, Paolo Fusar-Poli, Paolo Fusar-Poli, Paolo Fusar-Poli, Kathryn Greenwood, Kathryn Greenwood

“…We developed new machine-learning NLP algorithms for diagnosis, symptom and substance use concepts by fine-tuning existing open-source transformer models. …”
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Personal Data Recognition Using a Deep Learning Model by Nikita Babak

“…Nevertheless, such algorithms may lack the flexibility required to handle complex cases effectively. …”
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Formulation and evaluation of ocean dynamics problems as optimization problems for quantum annealing machines. by Takuro Matsuta, Ryo Furue

“…Recent advancements in quantum computing suggest the potential to revolutionize computational algorithms across various scientific domains including oceanography and atmospheric science. …”
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Imitating a Safe Human Driver Behaviour in Roundabouts Through Deep Learning by A. S. J. Cervera, F. J. Alonso, F. S. García, A. D. Alvarez

“…By placing a number of cameras in our vehicle and processing their video feeds through a series of algorithms, including Machine Learning, we can build a representation of the state of the surrounding environment. …”
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A study on plant root apex morphology as a model for soft robots moving in soil. by Anand Kumar Mishra, Francesca Tramacere, Roberto Guarino, Nicola Maria Pugno, Barbara Mazzolai

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The European Open Science Cloud as a common good Potentials and limitations of this endeavour [version 2; peer review: 3 approved] by Melania Acciai, Anna Bertelli, Giorgio Rossi

“…In particular, we emphasize that key resources as required to access and exploit EOSC’s advanced FAIR-data services – such as data-processing algorithms – are, in fact, intrinsically limited and the access will be competitive. …”
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Machine learning insights on activities of daily living disorders in Chinese older adults by Huanting Zhang, Wenhao Zhou, Jianan He, Xingyou Liu, Jie Shen

“…Nine machine learning algorithms, including neural networks and an ensemble model, were employed with a 2/3 training and 1/3 testing split. …”
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Interactive 3D segmentation for primary gross tumor volume in oropharyngeal cancer by Mikko Saukkoriipi, Jaakko Sahlsten, Joel Jaskari, Lotta Orsmaa, Jari Kangas, Nastaran Rasouli, Roope Raisamo, Jussi Hirvonen, Helena Mehtonen, Jorma Järnstedt, Antti Mäkitie, Mohamed Naser, Clifton Fuller, Benjamin Kann, Kimmo Kaski

“…Abstract Radiotherapy is the main treatment modality of oropharyngeal cancer (OPC), in which an accurate segmentation of primary gross tumor volume (GTVt) is essential but also challenging due to significant interobserver variability and the time consumed in manual tumor delineation. …”
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The Key Role of 3D TEE in Assessing the Morphology of Degenerative Mitral Valve Regurgitation by Francesco Fulvio Faletra, Eluisa La Franca, Laura Anna Leo, Leyla Elif Sade, William Katz, Francesco Musumeci, Caterina Gandolfo, Michele Pilato, Manlio Cipriani

“…Two-dimensional transthoracic echocardiography (2D TTE) and two-dimensional transesophageal echocardiography (2D TEE) are regarded as the main imaging techniques for the assessment of degenerative mitral valve regurgitation (DMVR). …”
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Exploring Machine Learning Methods for Aflatoxin M1 Prediction in Jordanian Breast Milk Samples by Abdullah Aref, Eman Omar, Eman Alseidi, Nour Elhuda A. Alqudah, Sharaf Omar

“…Detecting AFM1 in milk samples using conventional methods is often time-consuming and may not provide real-time monitoring capabilities. …”
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Prediction of lymph node metastasis in papillary thyroid carcinoma using non-contrast CT-based radiomics and deep learning with thyroid lobe segmentation: A dual-center study by Hao Wang, Xuan Wang, Yusheng Du, You Wang, Zhuojie Bai, Di Wu, Wuliang Tang, Hanling Zeng, Jing Tao, Jian He

“…The cohort was divided into training (n = 189) and validation (n = 82) cohorts, with additional temporal (n = 59 lobes, Center 1, May–August 2024) and external (n = 66 lobes, Center 2) test cohorts. …”
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Recognition of pivotal immune genes NR1H4 and IL4R as diagnostic biomarkers in distinguishing ovarian clear cell cancer from high-grade serous cancer by Yumin Ke, Meili Liang, Zhimei Zhou, Yajing Xie, Li Huang, Liying Sheng, Yueli Wang, Xinyan Zhou, Zhuna Wu

“…These genes were mainly linked to collagen-rich extracellular matrix, Phosphoinositide-3 Kinase- Protein Kinase B (PI3K-AKT) pathway, and transcriptional dysregulation in cancer. …”
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Smartphone- and Tablet-Based Tools to Assess Cognition in Individuals With Preclinical Alzheimer Disease and Mild Cognitive Impairment: Scoping Review by Rosanne L van den Berg, Sophie M van der Landen, Matthijs J Keijzer, Aniek M van Gils, Maureen van Dam, Kirsten A Ziesemer, Roos J Jutten, John E Harrison, Casper de Boer, Wiesje M van der Flier, Sietske AM Sikkes

“…The investigated populations were mainly individuals with MCI (34/37, 92%), and fewer tools were examined in individuals with preclinical AD (8/37, 22%). …”
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Exploring the relationship between sepsis and Golgi apparatus dysfunction: bioinformatics insights and diagnostic marker discovery by Wanli Ma, Xinyi Liu, Ran Yu, Jiannan Song, Lina Hou, Ying Guo, Hongwei Wu, Dandan Feng, Qi Zhou, Haibo Li

“…Immune infiltration analysis revealed significant differences in immune cell populations, mainly activated dendritic cells, and effector memory CD8+ T cells, between sepsis patients and healthy controls. …”
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RECOMMENDED TACTICS FOR THE EVALUATION OF POTENTIALLY MALIGNANT DISORDERS IN THE ORAL CAVITY by S.V. Kolomiiets, K.O. Udaltsova, V.I. Shynkevych

“…Responsibility for dispanserisation (clinical follow up) is carried mainly by dentists-surgeons without participation of orthopedists, pediatric dentists, and orthodontists. …”
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Fast-converging decentralized alternating direction method of multipliers for consensus optimization by Jeannie He, Ming Xiao, Mikael Skoglund

“…When applied to problems such as consensus optimization in distributed systems, ADMM is often implemented in a centralized manner, which may be challenging due to its dependency on the location and capacity of the node. …”
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Neoantigen prioritization based on antigen processing and presentation by Serina Tokita, Serina Tokita, Takayuki Kanaseki, Takayuki Kanaseki, Toshihiko Torigoe

“…Nevertheless, MHC presentation of neoantigens is not random but follows certain rules, and the efficiency of neoantigen detection may be further improved with technological innovations. …”
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Pre-ablation and Post-ablation Factors Influencing the Prognosis of Patients with Electrical Storm Treated by Radiofrequency Catheter Ablation: An Update by Cosmin Cojocaru, Maria Dorobanțu, Radu Vătășescu

“…However, this effect is highly influenced by multiple independently acting factors, which, if identified and addressed, may allow a more tailored management to each particular case to improve results. …”
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A comprehensive review on smart manufacturing using machine learning applicable to fused deposition modeling by Swapnil Deokar, Narendra Kumar, Ravi Pratap Singh

“…The process parameters may be monitored using high end computational tools. …”
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