ARTIFICIAL INTELLIGENCE IN ACADEMIA: OPPORTUNITY OR CHALLENGE? by L.H. Grigoryan, M. V. Badalyan, A.Z. Grigoryan

“…On the one hand, AI offers the potential to enhance personalized learning, automate repetitive administrative tasks, and improve access to educational resources. These advancements could significantly increase productivity and support more inclusive educational practices. …”
Get full text

Development and validation of risk prediction models for acute kidney disease in gout patients: a retrospective study using machine learning by Siqi Jiang, Lingyu Xu, Chenyu Li, Xinyuan Wang, Chen Guan, Yanfei Wang, Lin Che, Xuefei Shen, Yan Xu

“…The web-based prediction model provide real-time predictions, helping clinicians identify high-risk patients and improve outcomes.…”
Get full text

Shedding light on the DICER1 mutational spectrum of uncertain significance in malignant neoplasms by D. S. Bug, I. S. Moiseev, Yu. B. Porozov, Yu. B. Porozov, N. V. Petukhova

“…Our approach can be utilized to study other multidomain proteins and to improve clinical effect evaluation.…”
Get full text

The use of culturally adapted and translated depression screening questionnaires with South Asian haemodialysis patients in England. by Shivani Sharma, Sam Norton, Kamaldeep Bhui, Roisin Mooney, Emma Caton, Tarun Bansal, Clara Day, Andrew Davenport, Neill Duncan, Philip A Kalra, Maria Da Silva-Gane, Gurch Randhawa, Graham Warwick, David Wellsted, Magdi Yaqoob, Ken Farrington

“…Alternative screening cut-offs did not improve positive predictive values.<h4>Conclusions</h4>Culturally adapted translations of depression screening questionnaires are useful to explore symptom endorsement amongst South Asian patients. …”
Get full text

Transfer learning for securing electric vehicle charging infrastructure from cyber-physical attacks by Ahmad Almadhor, Shtwai Alsubai, Imen Bouazzi, Vincent Karovic, Monika Davidekova, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…It is common for these systems to be constructed using conventional machine learning algorithms. So many common signs of attacks are ignored. …”
Get full text

A machine learning model for early detection of sexually transmitted infections by Juma Shija, Judith Leo, Elizabeth Mkoba

“…The study recommends integrating a machine learning model into healthcare systems to detect STIs early, improve medical care, reduce disease progression, and remove stigmatisation barriers. …”
Get full text

Words high-frequency drying processes simulation of wooden tangent towers in a vacuum chamber by A. N. Kachanov, D. A. Korenkov, A. A. Revkov, V. V. Maksimov, O. V. Vorkunov

“…At the same time, there are promising electrotechnological drying installations that can reduce the duration and improve drying quality at comparable specific energy costs. …”
Get full text

Artificial Intelligence in Placental Pathology: New Diagnostic Imaging Tools in Evolution and in Perspective by Antonio d’Amati, Giorgio Maria Baldini, Tommaso Difonzo, Angela Santoro, Miriam Dellino, Gerardo Cazzato, Antonio Malvasi, Antonella Vimercati, Leonardo Resta, Gian Franco Zannoni, Eliano Cascardi

“…Artificial intelligence (AI) has emerged as a transformative tool in placental pathology, offering novel diagnostic methods that promise to improve accuracy, reduce inter-observer variability, and positively impact pregnancy outcomes. …”
Get full text

Vascular Effects of Achieving Low Disease Activity in Axial Spondyloarthritis - A 2-Year Prospective Cohort Study by Huan Meng, Xerox SL Lau, Isaac TH Cheng, Byran P Yan, Alex P Lee, Ho So, LS Tam

“…Results: In this interim analysis, a total of 56 axSpA patients (age: 38± 10 years, 43 (76.8%) male) who completed 2 year of follow-up were included. A significant improvement in disease activity was observed after 2 years of treatment (ASDAS-CRP at baseline: 2.9± 0.6 vs 1.9± 0.7 at year 2, p<0.001). …”
Get full text

Machine learning for detection of diffusion abnormalities-related respiratory changes among normal, overweight, and obese individuals based on BMI and pulmonary ventilation paramet... by Xin-Yue Song, Xin-Peng Xie, Wen-Jing Xu, Yu-Jia Cao, Bin-Miao Liang

“…We evaluated the effectiveness of various supervised ML algorithms and identified the optimal configurations for these applications. …”
Get full text

PSTR: A Test Case Reuse Method Based on Path Similarity by Xinyue Xu, Sinong Chen, Zhonghao Guo, Xiangxian Chen

“…It reduces resource consumption, improves testing efficiency, and lowers testing costs while maintaining high coverage standards. …”
Get full text

Computational analysis of reproducibility and image quality of 2011 and 2017 models of Heidelberg Spectralis SD-OCT machines by Kyoung A Viola Lee, Corey Tesdahl, Keith Zimmerman, Kimberly Jun, Sabrina Khalil, Alexander Shahin, Abdullah Abou-Samra, Ramesh Ayyala, Radouil Tzekov

“…Methods and testing: TRT measurements were performed using the Posterior Pole Algorithm (PPA) and Early Treatment Diabetic Retinopathy Study (ETDRS) grid protocols. …”
Get full text

HOW I TREAT PH+ ACUTE LYMPHOBLASTIC LEUKEMIA by Robin Foà

“…The greatest improvements in the management of Acute Lymphoblastic Leukemia (ALL) have been witnessed in Ph+ALL patients. …”
Get full text

Multi-Objective Optimization Research Based on NSGA-II and Experimental Study of Triplex-Tube Phase Change Thermal Energy Storage System by Yi Zhang, Haoran Yu, Yingzhen Hou, Neng Zhu

“…The optimized configuration (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>r</mi><mn>1</mn></msub><mo>=</mo><mn>0.014</mn></mrow></semantics></math></inline-formula> m, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>r</mi><mn>2</mn></msub><mo>=</mo><mn>0.041</mn></mrow></semantics></math></inline-formula> m, and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>r</mi><mn>3</mn></msub><mo>=</mo><mn>0.052</mn></mrow></semantics></math></inline-formula> m) was integrated into a modular design, achieving a 2.12% improvement in heat transfer efficiency and a 73.23% increase in heat storage rate. …”
Get full text

Assessing tafenoquine implementation in Brazil: a qualitative evaluation of perceptions of healthcare providers and Plasmodium vivax patients (QualiTRuST Study) by Alicia P. C. Santos, Marcelo A. M. Brito, Ana P. S. Oliveira, Rafaela N. Dávila, Hiran S. S. Gama, Evellyn A. R. T. Silva, Hélio A. Amazonas Jr., Patrícia C. S. Balieiro, Rosilene Rufatto, Penny Grewal Daumerie, Cássio R. L. Peterka, Dhélio Batista Pereira, Marcus V. G. Lacerda, Felipe L. G. Murta

“…Positive perceptions of the medication may aid in improving patient adherence to malaria treatment, thereby reducing malaria recurrences. …”
Get full text

Comparative Efficacy of Single Pill Combinations of Azilsartan Medoxomil/Chlorthalidone and Losartan/Hydrochlorothiazide in Patients with Hypertension and Heart Failure with Preser... by Zh. D. Kobalava, A. F. Safarova, Kh. M. Gudieva, M. A. Markova, A. E. Petrosyan

“…HFpEF was diagnosed according to the HFA-PEFF algorithm. The results were considered statistically significant at p&lt;0.05.Results. …”
Get full text

DEVELOPMENT OF PRACTICAL SKILLS IN FOREIGN STUDENTS DURING EDUCATION AT THE DEPARTMENT OF PROPEDEUTICS OF SURGICAL DENTISTRY by I.A. Kolisnyk, A.I. Pankevych, A.M. Hohol, V.M. Novikov, E.Yu. Rezvina, M.A. Korostashova

“… The goal of higher education is to produce highly qualified, competitive young professionals capable of innovation, self-improvement, and continuous development. The assimilation of theoretical material, the ability to analyze, search and process the received information are definitely important goals, however, the content of medical education cannot be reduced to only theoretical knowledge, but must ensure the mastery of practical skills. …”
Get full text

Diabetes mellitus in the Russian Federation: dynamics of epidemiological indicators according to the Federal Register of Diabetes Mellitus for the period 2010–2022 by I. I. Dedov, M. V. Shestakova, O. K. Vikulova, A. V. Zheleznyakova, M. A. Isakov, D. V. Sazonova, N. G. Mokrysheva

“…The information-analytical system FDR is a key tool for systematizing the most important epidemiological and clinical characteristics of DM based on data from real clinical practice, which allows optimizing the algorithm of patient management and improving the quality of care for diabetes.…”
Get full text

Multimodal nomogram integrating deep learning radiomics and hemodynamic parameters for early prediction of post-craniotomy intracranial hypertension by Zunfeng Fu, Jing Wang, Wenyi Shen, Yanqing Wu, Jiajun Zhang, Yan Liu, Chongqiang Wang, Yanlin Shen, Ye Zhu, Weifu Zhang, Chunju Lv, Lin Peng

“…Abstract To evaluate the effectiveness of deep learning radiomics nomogram in distinguishing early intracranial hypertension (IH) following primary decompressive craniectomy (DC) in patients with severe traumatic brain injury (TBI) and to demonstrate its potential clinical value as a noninvasive tool for guiding timely intervention and improving patient outcomes. This study included 238 patients with severe TBI (training cohort: n = 166; testing cohort: n = 72). …”
Get full text

Machine learning applications in the analysis of sedentary behavior and associated health risks by Ayat S Hammad, Ayat S Hammad, Ali Tajammul, Ismail Dergaa, Ismail Dergaa, Ismail Dergaa, Maha Al-Asmakh, Maha Al-Asmakh

“…The review highlights the utility of various ML approaches in classifying activity levels and significantly improving the prediction of sedentary behavior, offering a promising approach to address this widespread health issue.ConclusionML algorithms, including supervised and unsupervised models, show great potential in accurately detecting and predicting sedentary behavior. …”
Get full text