Context-sensitive Dialogues by Vilhjalmur Arnason

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Machine learning-driven insights into ctDNA for oral cancer: Applications, models, and future prospects by Dheeraj Kumar, Saraswati Patel

“…Circulating tumor DNA (ctDNA) offers a promising non-invasive approach for early cancer detection, treatment monitoring, and personalized medicine, particularly in oral cancer. This review explores the clinical applications, challenges, and future prospects of ctDNA analysis. …”
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Development and validation of a novel artificial intelligence algorithm for precise prediction the postoperative prognosis of esophageal squamous cell carcinoma by Zichen Wang, Zhihan Xiao, Tongyu Zhang, Meiyou Lu, Hai Li, Jing Cao, Jianan Zheng, Yichan Zhou, Juncheng Dai, Cheng Wang, Liang Chen, Jing Xu

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The zinc receptor, ZnR/GPR39, modulates taste sensitivity by regulating ion secretion in mouse salivary gland by Moran Melamed, Hila Asraf, Noa Livne, Milos Bogdanovic, Anil Shendge, Gilad Shamir, Maayan Mero, Omer Adir, Avi Schroeder, Israel Sekler, Michal Hershfinkel

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A comprehensive review on roles of electrochemical approaches in drug delivery by Ali R. Jalalvand, Mohammad Mehdi Karami

“…The potential of electrochemical approaches to revolutionize drug delivery by providing precise, controlled, and targeted therapeutic interventions is emphasized, underscoring their growing importance in personalized medicine and future biomedical applications.…”
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Exploiting the similarity of dissimilarities for biomedical applications and enhanced machine learning. by Mohammad Neamul Kabir, Li Rong Wang, Wilson Wen Bin Goh

“…The "similarity of dissimilarities" is an emerging paradigm in biomedical science with significant implications for protein function prediction, machine learning (ML), and personalized medicine. In protein function prediction, recognizing dissimilarities alongside similarities provides a more detailed understanding of evolutionary processes, allowing for a deeper exploration of regions that influence biological functionality. …”
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Biomimetic nanocarriers: integrating natural functions for advanced therapeutic applications by Hugo Felix Perini, Beatriz Sodré Matos, Carlo José Freire de Oliveira, Marcos Vinicius da Silva

“…Here, we address the therapeutic applications of biomimetic nanocarriers and their promising strategy for personalized medicine.…”
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Sex hormones and immune regulation in ovarian cancer by Rui Zhao, Wenqin Lian, Qiong Xu

“…The review also discusses the therapeutic implications of these interactions, including the potential for combining hormone-based therapies with immune checkpoint inhibitors. Personalized medicine approaches, leveraging biomarkers for predicting treatment response, are considered essential for optimizing patient outcomes. …”
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Application of biomaterials in mesenchymal stem cell based endometrial reconstruction: current status and challenges by Ling He, Qianrong Li

“…The review also addresses future directions in this field, such as advances in biomaterial engineering, new biomaterials currently under investigation, and personalized medicine approaches. This review emphasizes the significance of biomaterials in MSC-based therapy for endometrial reconstruction and provides practical guidance for developing new materials and treatment protocols for clinical applications.…”
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Responsive nanomaterials in biomedicine, patent path and prospect analysis by Xinrui Liu, Hongmei Yuan

“…In the future, responsive nanomaterials are expected to play a pivotal role in personalized medicine, multifunctional carrier design, and complex disease management, providing novel insights and technological support for precision medicine.…”
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A comprehensive review of digital twin in healthcare in the scope of simulative health-monitoring by Mubaris Nadeem, Sascha Kostic, Mareike Dornhöfer, Christian Weber, Madjid Fathi

“…Methods This article surveys the current state-of-the-art in applying DTs in healthcare, and how these twins are generated to support smart, personalized medicine. These concepts are applied to a DT for a simulated health-monitoring scenario. …”
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Beyond Immunuhistochemistry: Molecular Insights Into Round Cell Soft Tissue Tumors by Prashanth Kumar Madoori, Sujatha Tejavat

“…Integration of molecular pathology with traditional diagnostic approaches is essential for improving diagnostic accuracy, prognostication, and therapeutic strategies, paving the way for personalized medicine in the management of RCSTTs. Full form of ABBREVIATIONS are provided at the end.…”
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Neuromuscular diseases: genomics-driven advances by Anna Cho

“…Continued progress in gene therapy, RNA-based therapeutics, and personalized medicine holds promise for further breakthroughs in the management of these debilitating diseases.…”
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Microfabricated sensors for non-invasive, real-time monitoring of organoids by Yoojeong Kim, Erick C. Chica-Carrillo, Hyunjoo J. Lee

“…As the next-generation biological model, organoids provide new opportunities for drug discovery, disease modeling, and personalized medicine. To fully harness the potential of organoids, real-time monitoring of biological states and functional evaluation of organoids are crucial. …”
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Choosing the Right Angiotensin Converting Enzyme Inhibitors; Gender –Specific Approach by Neena Elsa Varghese, K. Jegaveerapandi, Goutham Yerrakula

“…By embracing a personalized medicine framework that accounts for gender-related differences, health-care professionals can optimize therapeutic interventions, minimize treatment disparities, and strive for improved cardiovascular health outcomes for all individuals. …”
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Structure-Based Approaches for Protein–Protein Interaction Prediction Using Machine Learning and Deep Learning by Despoina P. Kiouri, Georgios C. Batsis, Christos T. Chasapis

“…Through the integration of experimental and computational tools, structure-based prediction paves the way for comprehensive proteomic network analysis, holding promise for advancements in drug discovery, biomarker identification, and personalized medicine. Future directions include enhancing scalability and dataset reliability to expand these approaches across diverse proteomes.…”
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Drug molecular representations for drug response predictions: a comprehensive investigation via machine learning methods by Meisheng Xiao, Qianhui Zheng, Paul Popa, Xinlei Mi, Jianhua Hu, Fei Zou, Baiming Zou

“…The insights derived from our study offer useful guidance on selecting the most suitable drug molecular representations for constructing efficient predictive models for DRPs, aiding for drug repurposing, personalized medicine, and new drug discovery.…”
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Advances in physiological and clinical relevance of hiPSC-derived brain models for precision medicine pipelines by Negin Imani Farahani, Negin Imani Farahani, Negin Imani Farahani, Lisa Lin, Lisa Lin, Lisa Lin, Shama Nazir, Shama Nazir, Shama Nazir, Alireza Naderi, Alireza Naderi, Alireza Naderi, Leanne Rokos, Leanne Rokos, Leanne Rokos, Anthony Randal McIntosh, Anthony Randal McIntosh, Lisa M. Julian, Lisa M. Julian, Lisa M. Julian, Lisa M. Julian

“…Precision, or personalized, medicine aims to stratify patients based on variable pathogenic signatures to optimize the effectiveness of disease prevention and treatment. …”
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Protocol for generating splice isoform-specific mouse mutants using CRISPR-Cas9 and a minigene splicing reporter by Yudong Teng, Kelsey Arbogast, Harald Junge, Zhe Chen

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Innovative bioinks for 3D bioprinting: Exploring technological potential and regulatory challenges by Vidhi Mathur, Prachi Agarwal, Meghana Kasturi, Varadharajan Srinivasan, Raviraja N Seetharam, Kirthanashri S Vasanthan

“…The development of bioinks, incorporating natural and synthetic materials, offers unprecedented opportunities for personalized medicine. However, the rapid technological progress raises regulatory challenges regarding safety, standardization, and long-term biocompatibility. …”
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