Artificial Intelligence Enabled Fully Automated CMR Function Quantification for Optimized Risk Stratification in Patients Undergoing Transcatheter Aortic Valve Replacement by Ruben Evertz, Torben Lange, Sören J. Backhaus, Alexander Schulz, Bo Eric Beuthner, Rodi Topci, Karl Toischer, Miriam Puls, Johannes T. Kowallick, Gerd Hasenfuß, Andreas Schuster

“…In addition to significant time saving, this may provide the tools for optimized clinical management and stratification of patients with severe AS undergoing TAVR.…”
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Risk factors and risk‐indicating model for early‐onset neonatal sepsis after preterm prelabor rupture of membranes: A historical cohort study by Brynhildur Tinna Birgisdottir, Tomas Andersson, Ingela Hulthén Varli, Sissel Saltvedt, Farhad Abtahi, Ulrika Åden, Malin Holzmann

“…The risk of intra‐amniotic infection increases after preterm prelabor rupture of membranes (PPROM). Better tools are needed for monitoring women with PPROM for intra‐amniotic infection and identifying those at high risk of EONS so that intervention can be made timely. …”
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Nivolumab plasma concentration and clearance associated with overall survival in patients with renal cell carcinoma by Aurélien Marabelle, Laurence Albiges, Angelo Paci, Cécile Dalban, David Combarel, Sophie Broutin, Christophe Maritaz, Louis Blondel

“…ICIs are indicated for various types of advanced solid tumors; however, not all patients benefit from them, and tools that could be used in the clinic to predict response to treatment represent an unmet need. …”
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The Effectiveness of Telerehabilitation in Managing Pain, Strength, and Balance in Adult Patients With Knee Osteoarthritis: Systematic Review by Theodora Plavoukou, Michail Iosifidis, Georgios Papagiannis, Dimitrios Stasinopoulos, Georgios Georgoudis

“…Despite its increasing adoption, its effectiveness in improving key functional parameters such as pain, strength, and balance remains uncertain. …”
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Avaliação de três modelos dielétricos derivados da função [(épsilon'-1)/épsilon"] na estimativa do teor de água de sementes de feijão Evaluation of three dielectric models derived... by Pedro A. Berbert, Daniel M. de Queiroz, Elias F. de Sousa, Alexandre P. Viana, Edenio Detmann, Vinícius de O. Carlesso

“…<br>Capacitive sensors operating at radiofrequencies are considered one of the best tools for estimating grain moisture content on-line through the measurement of the relative permittivity epsilon' and dielectric loss factor - epsilon". …”
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In vivo and in silico study of europinidin against streptozotocin-isoproterenol-induced myocardial damage via alteration of hs-CRP/CPK-MB/Caspase-3/Bcl-2 pathways by Khalid Saad Alharbi, Muhammad Afzal, Fahad A. Al-Abbasi, Ehssan Moglad, Salwa D. Al-Qahtani, Naif A. R. Almalki, Faisal Imam, Nadeem Sayyed, Imran Kazmi

“…In addition, molecular docking (AUTODOCK Tools 1.5.6.) and dynamics were performed. Europinidin (10 and 20 mg/day) reduced blood glucose, HbA1c, hs-CRP, and CPK-MB. …”
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Damage prediction of rear plate in Whipple shields based on machine learning method by Chenyang Wu, Xiangbiao Liao, Lvtan Chen, Xiaowei Chen

“…In the realm of hypervelocity impact, strain rate (> 105 s−1) effects are negligible, and fluid dynamics is employed to describe the impact process. Efficient numerical tools for precisely predicting the damage degree can greatly accelerate the design and optimization of advanced protective structures. …”
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A systematic review on machine learning-aided design of engineered biochar for soil and water contaminant removal by Yunpeng Ge, Kaiyang Ying, Guo Yu, Muhammad Ubaid Ali, Abubakr M. Idris, Abubakr M. Idris, Asfandyar Shahab, Habib Ullah, Habib Ullah

“…Unlike earlier studies mostly on the adsorption capacity of biochar, this work expands the scope to investigate how ML can customize biochar properties for optimal contaminant removal using interpretability tools like SHAP analysis. These instruments expose parameters including nitrogen-to-carbon (N/C) ratios and pyrolysis temperature in adsorption efficiency. …”
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Monitoring Salinity Stress in Moringa and Pomegranate: Comparison of Different Proximal Remote Sensing Approaches by Maria Luisa Buchaillot, Henda Mahmoudi, Sumitha Thushar, Salima Yousfi, Maria Dolors Serret, Shawn Carlisle Kefauver, Jose Luis Araus

“…The species were irrigated under three salinity levels: low (2 dS m⁻¹), medium (5 dS m⁻¹), and high (10 dS m⁻¹). Remote sensing tools included RGB, multispectral, and thermal cameras mounted on selfie sticks for canopy imaging, as well as portable leaf pigment and chlorophyll fluorescence meters. …”
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Simulation-Based Evaluation of Large Language Models for Comorbidity Detection in Sleep Medicine &ndash; a Pilot Study on ChatGPT o1 Preview by Seifen C, Bahr-Hamm K, Gouveris H, Pordzik J, Blaikie A, Matthias C, Kuhn S, Buhr CR

“…Christopher Seifen,1,&ast; Katharina Bahr-Hamm,1,&ast; Haralampos Gouveris,1 Johannes Pordzik,1 Andrew Blaikie,2 Christoph Matthias,1 Sebastian Kuhn,3 Christoph Raphael Buhr1,2 1Sleep Medicine Center & Department of Otolaryngology, Head and Neck Surgery, University Medical Center Mainz, Mainz, Germany; 2School of Medicine, University of St Andrews, St Andrews, UK; 3Institute for Digital Medicine, Philipps University Marburg, University Hospital Giessen and Marburg, Marburg, Germany&ast;These authors contributed equally to this workCorrespondence: Christopher Seifen, Sleep Medicine Center & Department of Otolaryngology, Head and Neck Surgery, University Medical Center Mainz, Mainz, 55131, Germany, Email kim.seifen@unimedizin-mainz.dePurpose: Timely identification of comorbidities is critical in sleep medicine, where large language models (LLMs) like ChatGPT are currently emerging as transformative tools. Here, we investigate whether the novel LLM ChatGPT o1 preview can identify individual health risks or potentially existing comorbidities from the medical data of fictitious sleep medicine patients.Methods: We conducted a simulation-based study using 30 fictitious patients, designed to represent realistic variations in demographic and clinical parameters commonly seen in sleep medicine. …”
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Anti-Inflammatory Versus Antifibrotic Therapies for the Management of Rheumatoid Arthritis–Associated Interstitial Lung Disease: Protocol for a Systematic Review and Meta-Analysis... by Sneh Sonaiya, Alexandra Jianu, Nicholas Jianu, Kavita Batra

“…The primary outcomes assessed in this review will include the following pulmonary function parameters: forced vital capacity, forced expiratory volume in 1 second, and diffusing capacity of the lungs for carbon monoxide. …”
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Diagnostic Accuracy of AdvanSure^TM and PowerChek^TM Real-Time PCR Assays for the Detection of <i>Mycobacterium tuberculosis</i> and Nontuberculous Mycobacteria by Johny Bajgai, Chi-Hyun Cho, Jong-Han Lee

“…These findings support the clinical utility of both PCR assays as reliable tools for rapid diagnosis of mycobacterial infections. …”
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Assessing racial disparities in healthcare expenditure using generalized propensity score weighting by Jiajun Liu, Yi Liu, Yunji Zhou, Roland A. Matsouaka

“…Conclusion We found that generalized propensity score weighting (GPSW) methods are valuable quantitative tools to standardize and compare characteristics as well as outcomes of non-manipulable groups. …”
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The main approaches to the formation of competence in the field of diagnostics of circuits based on FPGA by Yuriy V. Shapovalov, Boris N. Chugaev

“…In the former case it is functional stimulus and in the second case it is test stimulus. The set of tools and the diagnostic object constitute a system of technical diagnostics (STD). …”
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Knotless versus knotted arthroscopic Bankart repairs for anterior shoulder instability: a systematic review and meta-analysis by Cheng Wang, Yanhang Liu, Meng Ding, Sha Wan, Kefu Lin, Zhen Tian, Lang Li

“…Quality assessment was performed using RoB2 and MINORS tools. Meta-analysis pooled RCT data using Review Manager 5.4.1, and non-pooled outcomes from cohort studies or limited RCT data were reported separately. …”
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Genetic Evaluation of Growth Traits in Black-Boned and Thai Native Synthetic Chickens Under Heat Stress by Wootichai Kenchaiwong, Doungnapa Promket, Vatsana Sirisan, Vibuntita Chankitisakul, Srinuan Kananit, Wuttigrai Boonkum

“…These findings offer valuable tools for genetic selection, environmental management, and long-term adaptation strategies in response to global climate change.…”
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Presenting Iran's new economic diplomacy model with an export approach for neighboring countries with an emphasis on cultural and media diplomacy capacities by sekhavat kheirkhah, sayed Ali Tabatabai Panah, Alireza Soltani, Hamid Reza Shirzad

“…By adding two important tools of media and culture to economic diplomacy, a new concept called new economic diplomacy is formed. …”
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Machine Learning for Non-Destructive Prediction of Sunflower Leaf Area by Joao Everthon da Silva Ribeiro, Antonio Gideilson Correia da Silva, Pablo Henrique de Almeida Oliveira, Josiana Micarla da Silva Oliveira, Alessandra Nunes da Silva, John Victor Lucas Lima, Ivan Euzebio da Silva, Ester Dos Santos Coelho, Isaque de Oliveira Leite, Elania Freire da Silva, Toshik Iarley da Silva, Lindomar Maria da Silveira, Aurelio Paes Barros Junior

“…Leaf area is an important parameter in plant growth, physiology, and productive potential studies. …”
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Identification of Inhibitors with Potential Anti-Prostate Cancer Activity: A Chemoinformatics Approach by Norberto S. Costa, Lúcio R. Lima, Jorddy N. Cruz, Igor V. F. Santos, Rai C. Silva, Alexandre A. Maciel, Elcimar S. Barros, Maracy L. D. S. Andrade, Ryan S. Ramos, Njogu M. Kimani, Alberto Aragón-Muriel, Juan M. Álvarez-Caballero, Joaquín M. Campos, Cleydson B. R. Santos

“…<b data-eusoft-scrollable-element="1">Objectives:</b> This study aimed to identify potential inhibitors with anti-prostate cancer activity through the application of chemoinformatics tools, exploring the Princeton (~1.2 million compounds) and Zinc Drug (~175 million compounds) databases. …”
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Advanced water quality assessment using machine learning: Source identification and probabilistic health risk analysis by Amin Mohammadpour, Ehsan Gharehchahi, Mohammad Golaki, Majid Amiri Gharaghani, Fahime Ahmadian, Soroush Abolfathi, Mohammad Reza Samaei, Md Galal Uddin, Agnieszka I. Olbert, Amin Mousavi Khaneghah

“…These findings highlight the efficacy of integrating RMS-WQI with machine learning tools for a robust assessment of groundwater quality and associated health risks in arid environments.…”
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