Compact and Handheld SiPM-Based Gamma Camera for Radio-Guided Surgery and Medical Imaging by Fabio Acerbi, Aramis Raiola, Cyril Alispach, Hossein Arabi, Habib Zaidi, Alberto Gola, Domenico Della Volpe

“…The novel gamma camera is light (weight), and it is made to be a fully stand-alone system, therefore featuring wireless communication, battery power, and wireless recharge capabilities. …”
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Constructing inflammatory bowel disease diagnostic models based on k-mer and machine learning by Liwei Li, Zheng Liu, Jiamin Qin, Guang Xiong, Chongze Yang, Fuqing Cai, Jiean Huang

“…Diagnostic models were developed using Logistic Regression (LR), Support Vector Machine (SVM), Naïve Bayes (NB), and Feedforward Neural Network (FFNN), complemented by an ensemble model via a voting mechanism. …”
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Exploring the potential and limitations of deep learning and explainable AI for longitudinal life course analysis by Helen Coupland, Neil Scheidwasser, Alexandros Katsiferis, Megan Davies, Seth Flaxman, Naja Hulvej Rod, Swapnil Mishra, Samir Bhatt, H. Juliette T. Unwin

“…We further identify the superior performance of DL models in handling sparse feature availability over time compared to traditional machine learning approaches. …”
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Leveraging self attention driven gated recurrent unit with crocodile optimization algorithm for cyberattack detection using federated learning framework by Manal Abdullah Alohali, Hatim Dafaalla, Mohammed Baihan, Sultan Alahmari, Achraf Ben Miled, Othman Alrusaini, Ali Alqazzaz, Hanadi Alkhudhayr

“…Abstract Cybersecurity has been defined as a vital part of the developments, which is mainly related to technology. …”
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RadiomiX for Radiomics Analysis: Automated Approaches to Overcome Challenges in Replicability by Harel Kotler, Luca Bergamin, Fabio Aiolli, Elena Scagliori, Angela Grassi, Giulia Pasello, Alessandra Ferro, Francesca Caumo, Gisella Gennaro

“…<b>Background/Objectives:</b> To simplify the decision-making process in radiomics by employing RadiomiX, an algorithm designed to automatically identify the best model combination and validate them across multiple environments was developed, thus enhancing the reliability of results. …”
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Integrated analysis of single-cell RNA sequencing and bulk transcriptome data identifies a pyroptosis-associated diagnostic model for Parkinson’s disease by Lin Wang, Yidan Qin, Jia Song, Jing Xu, Wei Quan, Hang Su, Huibin Zeng, Jian Zhang, Jia Li, Jiajun Chen

“…Using LASSO logistic regression, support vector machine recursive feature elimination (SVM-RFE) and random forest methods, we developed a diagnostic model centred on PDEGs. …”
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Improvement of Mechanical Properties of 3D Bioprinted Structures through Cellular Overgrowth by Adrianna Wierzbicka, Mateusz Bartniak, Jacek Grabarczyk, Nikola Biernacka, Mateusz Aftyka, Tomasz Wójcik, Dorota Bociaga

“…In 3D bioprinting techniques, it is necessary for hydrogel printouts to feature an appropriate geometry to ensure proper metabolic activity of the cells contained inside the printouts. …”
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Conformational Propensities of a DNA Hairpin with a Stem Sequence from the c-MYC Promoter by Arees Garabet, Iztok Prislan, Nataša Poklar Ulrih, James W. Wells, Tigran V. Chalikian

“…To mimic better the situation in the genome, we here extend our studies to a monomolecular DNA construct—a hairpin—in which complementary G- and C-rich strands featuring sequences from the promoter region of the c-MYC oncogene are linked by a dT₁₁ loop. …”
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Comprehensive Multi-indicator Prediction Model for Storage Quality of Multi-cultivar Kiwifruit Based on Visible-Near Infrared Spectroscopy by Zizhao LIANG, Xin LI, Pu LIU, Wenqiang GUAN, Ming LI

“…After the use of different preprocessing algorithms, such as first-order derivatives (FD), standard normal variate (SNV), second-order derivatives, convolutional smoothing, and FD+SNV, the data were combined with competitive adaptive reweighted sampling (CARS) for feature wavelength selection. A quality prediction model based on partial least squares (PLS) and multiple linear regression (MLR) was developed for kiwifruit physicochemical indices. …”
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Deep learning for enhanced prediction of diabetic retinopathy: a comparative study on the diabetes complications data set by Weijun Gong, You Pu, Tiao Ning, Yan Zhu, Gui Mu, Jing Li

“…To enhance the interpretability of the deep learning model, SHAP analysis was employed to assess feature importance and provide insights into the key drivers of retinopathy prediction.ConclusionDeep learning models can accurately predict retinopathy in diabetic patients. …”
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Improving epilepsy monitoring using long-term, in-home-bi-modal seizure monitoring device: clinical utilities and obstacles from a pilot study by Jaeso Cho, Young Jun Ko, Young Jun Ko, Yoon Gi Chung, Anna Cho, Hunmin Kim, Hunmin Kim

“…Patients used a wearable device developed for the study, featuring four-channel electroencephalogram and accelerometer sensors. …”
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Longitudinal shear behavior of composite slabs with recycled coarse and fine aggregate concrete by Jiongzhuo Bai, Yue Geng, Yu-Yin Wang, Charles K.S. Moy, Huan Zhang

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OncoE25: an AI model for predicting postoperative prognosis in early-onset stage I-III colon and rectal cancer—a population-based study using SEER with dual-center cohort validatio... by Luyun Yuan, Liyu Wang, Jiamin Gao, Xin Chen, Haoyue Wang, Wei Shan Tan, Kexiang Sun, Yabin Gong, Wanli Deng

“…External cohorts of early-onset colon and rectal cancer were collected from two Chinese hospitals. After LASSO-Cox feature selection, six models—RSF, LASSO-Cox, S-SVM, XGBSE, GBSA, and DeepSurv—were developed to predict cancer-specific survival (CSS). …”
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Machine Learning Techniques Applied to COVID-19 Prediction: A Systematic Literature Review by Yunyun Cheng, Rong Cheng, Ting Xu, Xiuhui Tan, Yanping Bai

“…We systematically reviewed COVID-19 ML prediction models developed under the background of the epidemic using the PRISMA method. …”
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Optimization of Sorghum Spike Recognition Algorithm and Yield Estimation by Mengyao Han, Jian Gao, Cuiqing Wu, Qingliang Cui, Xiangyang Yuan, Shujin Qiu

“…By integrating the GOLD module’s dual-branch multi-scale feature fusion and the LSKA attention mechanism, a lightweight detection model is developed. …”
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The Influence of Tranexamic Acid on the Postabortion Period Course after Medical Abortion by Babenko O., Bodunova T.

“…In the last decade, Ukraine followed all the developed countries with a radical change in the approaches to abortion due to medical abortion (MA). …”
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Fruit Covered Functional Candied Chestnut Production: Nutritional and Technological Effects of Riboflavin Fortification and Copigmentation by Özlem Erdoğdu, Ahmet Görgüç, Yağmur Yıldırım, Ceylin Şahin, Melisa Terekli, Fatih Mehmet Yılmaz

“…The food industry offers innovative approaches in accordance with the changing demands of consumers. Developing functional formulations that may have positive effects on human health in addition to the nutritional feature of food has become a very popular approach. …”
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Long short-term memory networks for enhancing real-time flood forecasts: a case study for an underperforming hydrologic model by S. Gegenleithner, S. Gegenleithner, M. Pirker, C. Dorfmann, R. Kern, J. Schneider

“…To achieve this, we developed two hindcast–forecast LSTM models and compared their forecast accuracies to that of a more conventional ARIMA model. …”
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Education for Democratic Citizenship in Educational Institutions: The Socio-educational Approach La educación para una ciudadanía democrática en las instituciones educativas: Su ab... by Arturo Torres Bugdud, Nivia Álvarez Aguilar, María del Roble Obando Rodríguez

“…Democracy is emphasized in this paper as an important feature of citizenship education, which requires special attention in terms of its socio-educational approach. …”
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Predictive model establishment for forward-head posture disorder in primary-school-aged children based on multiple machine learning algorithms by Hongjun Tao, Yang Wen, Rongfang Yu, Yining Xu, Fangliang Yu

“…The Shapley Additive Explanations (SHAP) method is used to quantify the influence of each feature on model outcomes, ensuring enhanced model interpretability.MethodsEmploying a cross-sectional study design, this research recruited 520 primary school-aged children, gathering data on demographics, anthropometrics, and physical activity levels. …”
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