Anatomical variations of the superficial palmar arch and its clinical relevance by Mališ Miloš, Kapor Slobodan, Puškaš Laslo, Aksić Milan, Blagojević Valentina, Žarković Nikola, Đurašić Ljubomir, Filipović Branislav, Vukomanović-Đurđević Biserka

“…According to Coleman and Anson’s classification, the higher incidence of the incomplete type (57.14%) of the SPA was observed compared to the complete type (42.86%). …”
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Designing CITOBOT: A portable device for cervical cancer screening using human-centered design, smart prototyping, and artificial intelligence by Marcela Arrivillaga, Paula C. Bermúdez, Juan Pablo García-Cifuentes, Hernán Darío Vargas-Cardona, Daniela Neira, Maria del Mar Torres, Mérida Rodríguez-López, Daniela Morales, Bleider Arizala

“…Additionally, we developed AI algorithms using the Inception V3 network, optimized with Transfer Learning and Fine Tuning, for cervical image classification and offline-operating software that guides the physician through the examination and provides a risk assessment for cervical cancer. …”
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Redo inferior pubectomy for failed anastomotic urethroplasty in pelvic fracture urethral injury by Lin Wang, Wenxiong Song, Xufeng Peng, Rong Lyu, Jijian Wang, Chongrui Jin, Chao Feng, Xiangguo Lyu, Yinglong Sa, Yidong Liu

“…According to the Clavien-Dindo classification, postoperative complications of grade I occurred in 7 patients and grade II in 4. …”
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Can Laparoscopic Adrenalectomy Be A Reliable Method for Adrenal Masses Larger than 4 Cm?: Our Clinical Outcomes by Yusuf Şenoğlu, Ahmet Yıldırım Balık, Dursun Baba, Arda Taşkın Taşkıran, Ekrem Başaran, Ali Tekin

“…Each patient’s age, gender, hormonal activity status, tumor size and side, hospital stay, amount of bleeding, operation time, complication rates (Clavian classification), pathology results, and surgical margin positivity were evaluated. …”
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Optimal mixture design for organic Rankine cycle using machine learning algorithm by Valerio Mariani, Saverio Ottaviano, Davide Scampamorte, Andrea De Pascale, Giulio Cazzoli, Lisa Branchini, Gian Marco Bianchi

“…A method to estimate the flammability classification of the blends has been also applied, obtaining that most of them belong to the ASHRAE class 2l, except when an HC is present, in which case the fluid is may result in class 3.…”
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Transforming machine learning model knowledge into material insights for multi-principal-element superalloy phase design by Qiuling Tao, Xintong Yang, Longke Bao, Yuexin Zhou, Tao Yang, Yilu Zhao, Rongpei Shi, Zhifu Yao, Xingjun Liu

“…First, we construct two classification models using ML algorithms to predict the presence or absence of the L12 phase and other phases, respectively. …”
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Affinity Peptide-Based Circularly Permuted Fluorescent Protein Biosensors for Non-Small Cell Lung Cancer Diagnosis by Dengyue Xu, Qingyun Jiang, Zhi Li, Angyang Shang, Jiaqi Liu, Chengyu Xue, Shuai Shao, Hangyu Zhang, Hong Yuan, Bin Wu, Bo Liu

“…The resulting biosensors, C4 biosensor for CEA, S1 biosensor for SCCAg, and Y3 biosensor for CYFRA 21-1, demonstrated robust sensitivity and specificity even at concentrations as low as 1 ng/mL for their respective tumor markers. …”
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Whole transcriptome analysis of unmutated sporadic ALS patients' peripheral blood reveals phenotype-specific gene expression signature by Francesca Dragoni, Maria Garofalo, Rosalinda Di Gerlando, Bartolo Rizzo, Matteo Bordoni, Eveljn Scarian, Camilla Viola, Veronica Bettoni, Giuseppe Fiamingo, Danilo Tornabene, Lucia Scanu, Orietta Pansarasa, Luca Diamanti, Stella Gagliardi

“…Interestingly, only one gene (Y3_RNA, a misc_RNA component of the Ro60 ribonucleoprotein involved in cellular response to interferon-alpha) was upregulated at different levels across all phenotypes, whereas other genes appeared phenotype-specific. …”
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A nomogram model for predicting maternal cardiovascular complications and neonatal adverse outcomes in pregnant patients with pulmonary arterial hypertension by Ruilin Ma, Jianjian Cui, Yanfang Zheng, Hui Tao, Wencong He, Zejun Yang, Yanan Li, Yin Zhao

“…Model performance was evaluated through internal validation.Results Predictors of cardiovascular complications included severe PAH (OR = 4.80), New York Heart Association (NYHA) classification ≥ III (OR = 25.94), ST-T changes (OR = 25.18), total bilirubin (OR = 1.49), albumin (OR = 0.87) and lactate dehydrogenase level (OR = 1.01). …”
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The Importance of Clinical Data for the Diagnosis of Breast Tumours in North Afghanistan by Gerhard Stauch, Peter Fritz, Rauofi Rokai, Atiq Sediqi, Haroon Firooz, Hans Ullrich Voelker, Michael Weinhara, Joachim Mollin, Bishara Soudah, Peter Dalquen, Friedhelm Brinckmann, Jürgen Dippon

“…These data provided by daily diagnostic classification were used for the built-up of a profile for each frequent breast disease and a breast cancer register. …”
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Analysis of Volatile Organic Compounds in Low-temperature Conditioning of Kiwifruit by HS-SPME-GC-MS Combined with Chemometrics Methods by Zhixin GUO, Wei ZHANG, Yingjie GUO, Xiaomei CHENG, Dengni LAI, Shuangping CHEN, Gaoyang LI, Xiangrong ZHU

“…The kiwifruit samples were subjected to pre-storage at 0, 4, 8, and 12 ℃ for 3, 5, and 7 d, followed by ethylene treatment for ripening. …”
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An overview of the endogenous and environmental factors related to the Coffea arabica flowering process by Marlon Enrique López, Iasminy Silva Santos, Raphael Ricon de Oliveira, André Almeida Lima, Carlos Henrique Cardon, Antonio Chalfun-Junior

“…Here, we propose to redefine some concepts regarding coffee floral development, such as: i) a summary of genes possibly involved in the flowering pathways; ii) a new classification of buds by position in the node (B1 - B4) to avoid misunderstandings with the uneven developmental stages; iii) comparative ABC model to Arabidopsis and tomato to allow evolutionary discussions of whorls development in Coffea sp. …”
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A Real-Time Signal Measurement System Using FPGA-Based Deep Learning Accelerators and Microwave Photonic by Longlong Zhang, Tong Zhou, Jie Yang, Yin Li, Zhiwen Zhang, Xiang Hu, Yuanxi Peng

“…Firstly, by introducing the idea of automated framework, we propose a simplest deep neural network (DNN)-based hardware structure, which automatically maps algorithms to hardware modules, supports configurable parameters, and has the advantage of low latency, with an average inference time of only 3.5 μs. Subsequently, another accelerator is designed with the efficient hardware structure of the long short-term memory (LSTM) + DNN model, demonstrating outstanding performance with a classification accuracy of 98.82%, mean absolute error (MAE) of 0.27°, and root mean square errors (RMSE) of 0.392° after model compression. …”
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Toll-like receptor 9 (TLR9) expression correlates with cell of origin and predicts clinical outcome in diffuse large B-cell lymphoma by Sulaf Abd Own, Ioanna Xagoraris, Konstantina Stathopoulou, Björn E. Wahlin, Weicheng Ren, Mehran Ghaderi, Qiang Pan-Hammarström, Birgitta Sander, Karin E. Smedby, Georgios Rassidakis

“…Abstract Background Biological insights beyond the cell-of-origin (COO) classification can support clinical management in diffuse large B-cell lymphoma (DLBCL). …”
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Accelerated and precise skin cancer detection through an enhanced machine learning pipeline for improved diagnostic accuracy by SM Masfequier Rahman Swapno, S.M. Nuruzzaman Nobel, P.K. Meena, V.P. Meena, Jitendra Bahadur, Abhishek Appaji

“…These results highlight the robustness and effectiveness of the EfficientNetV2L-LGBM framework in skin cancer classification, offering a reliable and scalable solution for early detection. …”
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Ifluence of seasonity on vitamin D level in patients with HCV infection and healthy people by M.A. Nikolaychuk, L.R. Shostakovych-Koretskaya, I.V. Budayeva, S.V. Biletska

“…Vitamin D levels were evaluated according to the M.F. Holick classification. According to the level of vitamin D patients were divided into 3 groups (patients with normal level, insufficient (suboptimal) level and vitamin D deficiency). …”
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Comparison of 30-Day Readmission Between Early and Late Catheter Directed Thrombolysis for Acute Pulmonary Embolism in the United States by Kwabena Sefah Nketiah Sarpong, Sun-Joo Jang, Mary Quien, Karthik Muralidharan, Abhinav Aggarwal, Ilhwan Yeo, Kavitha Gopalratnam

“…Patients with acute PE who underwent CDT were identified using codes from the International Classification of Diseases, 10th Edition (ICD 10). Results: The 30-day readmission rates were higher for patients who underwent CDT on Day 2 or afterwards compared to Day 1 and Day 0 (7.1% vs. 5.7% vs. 5.2%). …”
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Physical health and cognitive ability factors in predicting retirement adjustment based on machine learning approach: results from the China Health and Retirement Longitudinal Stud... by Chenhong Cui, Bolin Zhou, Lin Gao, Dahua Wang, Angela C. Rowe, Bruna S. Nascimento, Hao Zhang, Xiancai Cao, Xiancai Cao, Xiancai Cao

“…Various physical health and cognitive ability-related variables measured before retirement, alongside key demographic and lifestyle variables, were used as predictive variables to predict retirement adjustment 2 or 3 years later. Random forest (RF) and XGBoost classification models were used as predictors, and SHAP (SHapley Additive explanation) value analysis was used to explain the model prediction results.ResultsThe results indicated that the accuracy of the RF and XGBoost models outperformed regularized logistic regression. …”
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In‐Sensor Computing‐Based Smart Sensing Architecture Implemented Using a Dual‐Gate Metal‐Oxide Thin‐Film Transistor Technology by Tengteng Lei, Yushen Hu, Xinying Xie, Runxiao Shi, Man Wong

“…The functionality of the system is demonstrated by its application to the classification of a set of tactile images of 3‐dimensionally printed alphabet stamps.…”
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Prediction of the onset of the RSV epidemic with meteorological data using deep neural networks by Kazuo Yonekura, Miya Nishio, Momoko Kashiwado, Takuya Naruto, Masaaki Mori

“…Using aggregated weather features (mean, max, min), we constructed a binary classification task to identify the onset of RSV spread. …”
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