Antioxidants to Defend Healthy and Youthful Skin—Current Trends and Future Directions in Cosmetology by Anna Budzianowska, Katarzyna Banaś, Jaromir Budzianowski, Małgorzata Kikowska

“…Future research directions include optimizing delivery systems for these bioactives, enhancing their stability and bioavailability, and expanding their applications to meet evolving dermatological challenges.…”
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Mutation-based, neoadjuvant treatment for advanced anaplastic thyroid carcinoma by Sabine Wächter, Detlef K. Bartsch, J. Riera Knorrenschild, Anika Pehl, Friederike Eilsberger, Andreas Pfestroff, Markus Luster, Katharina Holzer, Andreas Neubauer, Elisabeth Maurer

“…In the adjuvant setting, mutation-based systemic therapy was continued.ResultsBetween December 2021 and December 2024, a total of 14 patients were screened. …”
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Using Machine Learning Approaches on Dynamic Patient-Reported Outcomes to Cluster Cancer Treatment-Related Symptoms by Nora Asper, Hans Friedrich Witschel, Louise von Stockar, Emanuele Laurenzi, Hans Christian Kolberg, Marcus Vetter, Sven Roth, Gerd Kullak-Ublick, Andreas Trojan

“…In patients undergoing systemic treatment for cancer, symptom tracking via electronic patient-reported outcomes (ePROs) has been used to optimize communication and monitoring, and facilitate the early detection of adverse effects and to compare the side effects of similar drugs. …”
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CytoSorb^® Hemadsorption in Cardiogenic Shock: A Real-World Analysis of Hemodynamics, Organ Function, and Clinical Outcomes During Mechanical Circulatory Support by Julian Kreutz, Lukas Harbaum, Cem Benin Barutcu, Amar Sharif Rehman, Nikolaos Patsalis, Klevis Mihali, Georgios Chatzis, Maryana Choukeir, Styliani Syntila, Bernhard Schieffer, Birgit Markus

“…<b>Background:</b> Cardiogenic shock (CS), characterized by inadequate tissue perfusion due to cardiac dysfunction, has a high mortality rate despite advances in treatment. Systemic inflammation and organ failure exacerbate the severity of CS. …”
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A STUDY OF THE EFFECTIVENESS OF DISTANCE LEARNING AT A MEDICAL UNIVERSITY IN UKRAINE by H.Yu. Morokhovets, Yu.V. Lysanets, O.M. Bieliaieva, S.A. Stetsenko, O.A. Shlykova

“…The theoretical and methodological aspects of foreign experience in the use of special software (learning management systems, databases, software shells) require further research to optimize the process of distance learning.…”
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Opportunities, Challenges, and Future Directions for Generative Artificial Intelligence in Library Information Literacy Education: A Scoping Review by Fan YUAN, Jia LI

“…By systematically examining the opportunities, challenges, and development trajectories of generative AI, this study provides valuable insights for libraries and educational institutions seeking to optimize their IL programs in the AI era. The findings not only contribute to the theoretical understanding of the role of GenAI in education, but also provdie practical guidance for integrating advanced technologies into traditional educational frameworks, ultimately fostering a more adaptive, intelligent, and personalized learning ecosystem.…”
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DYNAMICS OF DATA OF DIFFERENTIAL WHITE BLOOD CELL COUNT IN PATIENTS WITH GENERALIZED PERIODONTITIS WITH DIFFERENT BLOOD GROUPS by Y.L. Bandrivsky

“…Determination of the peculiarities of the course of this pathology, depending on the group membership of blood of patients, in particular the data of the leukogram, will allow to develop in the future a complex of targeted, prophylactic and therapeutic measures that will improve and optimize the ways of solving this problem. The aim of our study was to find out the dynamics of the data of leukograms in patients with generalized periodontitis with different blood groups. …”
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Decentralized Biobanking Apps for Patient Tracking of Biospecimen Research: Real-World Usability and Feasibility Study by William Sanchez, Ananya Dewan, Eve Budd, M Eifler, Robert C Miller, Jeffery Kahn, Mario Macis, Marielle Gross

“…Our pilot reveals potential to accelerate biomedical research through patient engagement; however, further development is needed to optimize the accessibility, efficiency, and scalability of platform design and blockchain elements, as well as a robust incentive and governance structure for decentralized biobanking.…”
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Hydra Radio Access Network (H-RAN): Multi-Functional Communications and Sensing Networks, Initial Access Implementation, and Task-2 Approach by Rafid I. Abd, Daniel J. Findley, Kwang Soon Kim

“…These elements are integral to optimizing beamforming in scenarios where direct line-of-sight (LoS) is obstructed by <inline-formula> <tex-math notation="LaTeX">$\text {level}_{1}$ </tex-math></inline-formula> blockage scenario. …”
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Computational Investigation of Long Free-Span Submarine Pipelines with Buoyancy Modules Using an Automated Python–Abaqus Framework by Ty Phuor, Pavel A. Trapper, Alon Urlainis, Avshalom Ganz

“…Practical implications include the ability to rapidly optimize buoyancy module placements, reducing resonance risks from vortex-induced vibrations (VIVs), thus enhancing the preliminary design efficiency and pipeline safety. …”
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Enhancing Bone Repair with &amp;beta;-TCP-Based Composite Scaffolds: A Review of Design Strategies and Biological Mechanisms by Ni X, Feng J, Liang M, Zhou F, Xia Y, Dong Z, Xue Q, Li Z, Pu F, Xia P

“…Future directions should focus on developing synchronously degradable materials and intelligent scaffolds via 4D printing and AI-optimized designs, and clinical translation systems to achieve precise bone regeneration.Keywords: bone regeneration, bone defect, biomaterials, composite scaffold, β-tricalcium phosphate…”
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Research progress on comprehensive utilization of phosphogypsum and metallurgical acidic gypsum residue by Shenao ZHANG, Yongwei WANG, Lijue WANG, Junwei HAN

“…This paper presents a framework for comparing phosphogypsum and acidic wastewater neutralization gypsum residues for the first time, systematically discusses their current utilization and disposal methods, and thoroughly explores the resource-utilization mechanisms of different production systems, along with the fixation mechanisms for heavy metals and other pollutants. …”
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Pre-Exercise Ingestion of Hydrogen-Rich Cold Water Enhances Endurance Performance and Lactate Response in Heat by Mariem Khlifi, Nidhal Jebabli, Nejmeddine Ouerghi, Fatma Hilal Yagin, Ashit Kumar Dutta, Reem Alwhaibi, Anissa Bouassida

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Social Media and eHealth Literacy Among Older Adults: Systematic Literature Review by Chenglin Zhang, Emma Mohamad, Arina Anis Azlan, Anqi Wu, Yilian Ma, Yihan Qi

“…Based on the findings, this review proposes key directions for efforts to achieve this goal: (1) leveraging postpandemic momentum to enhance eHealth literacy among older adults through social media, (2) reconsidering the dimensions of eHealth literacy among older adults in the context of Web 2.0, (3) actively developing age-friendly integrated social media health service platforms, (4) optimizing social media for engaging and reliable health information for older adults, and (5) integrating social support systems to foster lifelong eHealth learning for older adults.…”
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Unveiling the Potential of Large Language Models in Transforming Chronic Disease Management: Mixed Methods Systematic Review by Caixia Li, Yina Zhao, Yang Bai, Baoquan Zhao, Yetunde Oluwafunmilayo Tola, Carmen WH Chan, Meifen Zhang, Xia Fu

“…Large language models (LLMs) are advanced artificial intelligence systems with transformative potential to optimize chronic disease management; however, robust evidence is lacking. …”
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ANV600 is a novel PD-1 targeted IL-2Rβγ agonist that selectively expands tumor antigen-specific T cells and potentiates PD-1 checkpoint inhibitor therapy by Christoph Huber, Christian Stocker, Patrizia Murer, Ulisse Salazar, Nicole Egli, Laetitia Petersen, Pia Neubert, Alexander Rau, Andreas Katopodis, Anais Zurbach, Dario Reichenstein

“…By targeting a non-blocking epitope on PD-1, ANV600 enables the selective expansion of tumor-reactive CD8+ T cells while allowing independent and optimized dosing of both agents. This design ensures combinability with PD-1 inhibitors at clinically relevant doses, including in patients previously treated with checkpoint blockade. …”
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Machine Learning in the National Economy by Azamjon A. Usmonov

“…For its successful integration into national economic systems, countries must invest in research, improve digital infrastructure, and develop educational programs to prepare skilled professionals. …”
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Exploring the potential of machine learning in gastric cancer: prognostic biomarkers, subtyping, and stratification by Haniyeh Rafiepoor, Mohammad M. Banoei, Alireza Ghorbankhanloo, Ahad Muhammadnejad, Amirhossein Razavirad, Saeed Soleymanjahi, Saeid Amanpour

“…Furthermore, they demonstrate the potential for personalized medicine in GC treatment by identifying high-risk patients for early intervention and optimizing therapeutic strategies. The partition analysis technique offers a practical tool for identifying cutoffs and prioritizing markers for clinical application. …”
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Predictors of time to recovery from cataract surgery among cataract patients at Menelik II Comprehensive Specialized Hospital: a retrospective follow up study by Gininu Wendmeneh Tsegaw, Yilma Chisha Dea, Melkamu Merid Mengesha

“…Personalized care approaches are recommended to optimize postoperative recovery.…”
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Machine learning algorithms to predict stroke in China based on causal inference of time series analysis by Qizhi Zheng, Ayang Zhao, Xinzhu Wang, Yanhong Bai, Zikun Wang, Xiuying Wang, Xianzhang Zeng, Guanghui Dong

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