Integrated multi-omics analysis and machine learning identify G protein-coupled receptor-related signatures for diagnosis and clinical benefits in soft tissue sarcoma by Duo Wang, Duo Wang, Duo Wang, Jihao Tu, Jihao Tu, Jianfeng Liu, Jianfeng Liu, Yuting Piao, Yuting Piao, Yiming Zhao, Yiming Zhao, Ying Xiong, Ying Xiong, Jianing Wang, Jianing Wang, Xiaotian Zheng, Xiaotian Zheng, Bin Liu, Bin Liu

“…We developed a novel machine learning framework that incorporated 12 machine learning algorithms and their 127 combinations to construct a consensus GPRS to screen biomarkers with diagnostic significance and clinical translation, which was assessed by the internal and external validation datasets. …”
Get full text

Preoperative ternary classification using DCE-MRI radiomics and machine learning for HCC, ICC, and HIPT by Peng Xie, Zhong-Jian Liao, Lu Xie, Junyuan Zhong, Xiaodong Zhang, Wei Yuan, Yujin Yin, Tianxian Chen, Huizhen Lv, Xinglin Wen, Xiaochun Wang, Ling Zhang

“…Radiomics features and clinical data were extracted and analyzed using LASSO regression and machine learning algorithms (Logistic Regression, Random Forest, and Extreme Gradient Boosting), with class weighting (HCC:ICC:HIPT = 1:2:4) to address class imbalance. …”
Get full text

Enhancing the prediction of groundwater quality index in semi-arid regions using a novel ANN-based hybrid arctic puffin-hippopotamus optimization model by Moustafa Gamal Snousy, Hussein M. Elshafie, Ashraf R. Abouelmagd, Najmaldin Ezaldin Hassan, Mahmoud E. Abd-Elmaboud, Ali Akbar Mohammadi, Ashraf M.T. Elewa, E. EL-Sayed, Ahmed M. Saqr

“…Study focus: This study presents a novel hybrid arctic puffin–hippopotamus optimization (HPHO) algorithm combined with an artificial neural network (ANN) to improve irrigation water quality index (IWQI) predictions in semi-arid areas. …”
Get full text

Pulsed inhibition of corticospinal excitability by the thalamocortical sleep spindle by Umair Hassan, Prince Okyere, Milad Amini Masouleh, Christoph Zrenner, Ulf Ziemann, Til Ole Bergmann

“…Utilizing a recently developed real-time spindle detection algorithm, we applied spindle phase-triggered transcranial magnetic stimulation (TMS) to the primary motor cortex (M1) hand area to characterize the corticospinal excitability profile of spindles via motor evoked potentials (MEP). …”
Get full text

OG716: Designing a fit-for-purpose lantibiotic for the treatment of Clostridium difficile infections. by Johan A Kers, Anthony W DeFusco, Jae H Park, Jin Xu, Mark E Pulse, William J Weiss, Martin Handfield

Get full text

Consensus evidence-based clinical practice guide for the diagnosis and management of osteoporosis in childhood and adolescence by Yasser El Miedany, Hala Lotfy, Maha El Gaafary, Naglaa Gadallah, Annie Nasr Mehanna, Safaa Mahran, Waleed Hassan, Mohammed Hassan Abu-Zaid, Samar Abdelhamed Tabra, Mohamed Mortada, Ahmed R. Radwan, Dalia El Mikkawy, S. Esam Maher, Ghada Eldrainy, Hala Abdulhady, Marwa Mahgoub, Youmna Amer, Walaa Elwakil

“…Delphi 2 round revealed that all the recommendations achieved 75% or more level of agreement and therefore have been accepted and included in this management recommendations. Based on that an algorithm showing an approach to pediatric osteoporosis management and maintenance of therapy has been developed. …”
Get full text

Machine-learning prediction for hospital length of stay using a French medico-administrative database by Franck Jaotombo, Vanessa Pauly, Guillaume Fond, Veronica Orleans, Pascal Auquier, Badih Ghattas, Laurent Boyer

“…One goal of public health management is to reduce PLOS by identifying its most relevant predictors. The objective of this study is to explore Machine Learning (ML) models that best predict PLOS.Methods: Our dataset was collected from the French Medico-Administrative database (PMSI) as a retrospective cohort study of all discharges in the year 2015 from a large university hospital in France (APHM). …”
Get full text

Mortality prediction of heart transplantation using machine learning models: a systematic review and meta-analysis by Ida Mohammadi, Setayesh Farahani, Asal Karimi, Saina Jahanian, Shahryar Rajai Firouzabadi, Mohammadreza Alinejadfard, Alireza Fatemi, Bardia Hajikarimloo, Mohammadhosein Akhlaghpasand

“…This systematic review and meta-analysis evaluates the performance of ML algorithms in predicting mortality and explores factors contributing to model accuracy.MethodA systematic search of PubMed, Scopus, Web of Science, and Embase identified relevant studies, with 17 studies included in the review and 12 in the meta-analysis. …”
Get full text

Fungi Infection in Surgical Department. Systemic and Local Antifungal Therapy by L. A. Blatun, G. E. Skladan, R. P. Terekhova, S. A. Prudnikova, M. G. Krutikov, O. I. Andreytseva, M. N. Yan, A. A. Nikitin, A. A. Ushakov, N. G. Askerov, V. A. Mitish, Yu. S. Paskhalova, P. A. Munios Sepeda, S. D. Magomedova, S. L. Sokov

“…To determine the frequency of detection of pathogenic fungi in a variety of surgical departments, to track the effectiveness of the developed algorithm of systemic and local antifungal therapy. …”
Get full text

Multidisciplinary Contributions and Research Trends in eHealth Scholarship (2000-2024): Bibliometric Analysis by Lana V Ivanitskaya, Dimitrios Zikos, Elina Erzikova

“…To that end, we analyze evidence from 3 corpora: 10,022 OpenAlex documents with eHealth in the title, the 5000 most relevant eHealth articles according to the Web of Science (WoS) algorithm, and all available (n=1885) WoS eHealth reviews. …”
Get full text

Cuproptosis-related lncRNA predicts prognosis and immune pathways in osteosarcoma patients by LIAO Jun, FENG Yanbin, XI Deshuang, ZONG Shaohui

“…Methods RNA-seq data of OS patients were downloaded from the TARGET database along with relevant clinical information. Cuproptosis-related gene sets were obtained from related studies. …”
Get full text

Research and Optimization of White Blood Cell Classification Methods Based on Deep Learning and Fourier Ptychographic Microscopy by Mingjing Li, Junshuai Wang, Shu Fang, Le Yang, Xinyang Liu, Haijiao Yun, Xiaoli Wang, Qingyu Du, Ziqing Han

“…To address these limitations, this paper proposes an enhanced WBC classification algorithm, CCE-YOLOv7, which is built upon the YOLOv7 framework. …”
Get full text

Immune regulatory genes impact the hot/cold tumor microenvironment, affecting cancer treatment and patient outcomes by Mengmeng Sang, Jia Ge, Juan Ge, Juan Ge, Gu Tang, Qiwen Wang, Jiarun Wu, Liming Mao, Liming Mao, Xiaoling Ding, Xiaorong Zhou

“…Nevertheless, as yet there is no consensus regarding the clinically relevant definition of hot/cold tumors, and the influence of immune genes on the formation of hot/cold tumors remains poorly understood.MethodsData for 33 different types of cancer were obtained from The Cancer Genome Atlas database, and their immune composition was assessed using the CIBERSORT algorithm. …”
Get full text

Development of Theoretical Approaches to Determination of the Main Groups of Biologically Active Substances of Medicinal Plant Raw Materials by TLC Method by O. V. Trineeva

“…The paper proposes an algorithm for the selection of the mobile phase and methods of chromatography of BAS of medicinal products. …”
Get full text

Clear Cell Acanthoma/Pseudolymphoma: Clinical­ Dermatoscopic and Histological Correlation by Shulaia T., Kiladze N., Miriamidze A.

“…All obtained images were estimated in accordance with the algorithm of G. Kittler. Results. Clear cell acanthoma is a rare benign epithelial tumor with unclear etiology. …”
Get full text

Modeling of strike drone missions for conducting wave attacks in conditions of enemy anti-drone actions by Oleg Fedorovich, Dmytro Krytskyi, Mikhail Lukhanin, Oleksandr Prokhorov, Yuliia Leshchenko

“…Much attention is paid to the formation of flight routes for attack drones to ensure the suddenness of a massive attack despite enemy military threats. An algorithm for generating the shortest flight route in time despite enemy anti-drone operations has been developed. …”
Get full text

Predicting the impact of patient and private provider behavior on diagnostic delay for pulmonary tuberculosis patients in India: A simulation modeling study. by Sarang Deo, Simrita Singh, Neha Jha, Nimalan Arinaminpathy, Puneet Dewan

“…We used an expectation-maximization algorithm to estimate the parameters underlying these behavioral characteristics, with quantitative data encoded from detailed interviews of 76 and 64 pulmonary TB patients in the 2 Indian cities of Mumbai and Patna, respectively, which were conducted between April and August 2014. …”
Get full text

A toolbox for the identification of foot-floor contact sequences to analyze atypical gait cycles in a real-life scenario: application on patients after proximal femur fracture and... by Marco Ghislieri, Nicolas Leo, Marco Caruso, Clemens Becker, Andrea Cereatti, Valentina Agostini

“…We extracted relevant gait parameters from a population of 32 elderly subjects: 14 frail patients after Proximal Femur Fracture (PFF) and 18 older Healthy Adults (HA). …”
Get full text

Generic health status improves after non-surgically and surgically treated hip abductor tendon pathology: a retrospective study of ninety-seven female patients by Nickan Zakikhany, Jeppe Lange, Bent Lund, Marie B. Bohn

“…Females aged 18+ years, with positive clinical tests and MRI verified hip abductor tendon pathology, who had completed the EQ-5D-5L at relevant timepoints, were included. Our treatment algorithm consisted of a baseline physiotherapist led intervention (patient education followed by 3-months un-supervised training). …”
Get full text

Análisis de la Controlabilidad de Estado de Sistemas Irreversibles Mediante Teoría de Conjuntos by L.M. Gómez, H. Botero, H. Alvarez, Fernando di Sciascio

“…Abstract: The irreversible systems have been little studied within the control theory framework, although one of their relevant cases is the batch process control problem. …”
Get full text