Revolutionizing colorectal cancer detection: A breakthrough in microbiome data analysis. by Mwenge Mulenga, Arutchelvan Rajamanikam, Suresh Kumar, Saharuddin Bin Muhammad, Subha Bhassu, Chandramathi Samudid, Aznul Qalid Md Sabri, Manjeevan Seera, Christopher Ifeanyi Eke

“…The emergence of Next Generation Sequencing (NGS) technology has catalyzed a paradigm shift in clinical diagnostics and personalized medicine, enabling unprecedented access to high-throughput microbiome data. …”
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INTESTINAL MICROBIOME - A LEADING FACTOR IN HUMAN HEALTH AND DISEASES by E. Blum Hubert

“…Such data increasingly allow to define the individual disease predisposition and to predict disease prognosis as well as the efficacy of therapeutic strategies in the individual patient (‘personalized medicine’). Conclusion: Studying of human microbiome along with GWAS contributed greatly to the recent advances in the diagnosis, treatment and prevention of human diseases.…”
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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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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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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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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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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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The Science of Memory Loss: Insights into Alzheimer’s Disease by Agnieszka Starzyk, Piotr Charzewski

“…Continued innovations in biomarker research, therapeutic approaches, and personalized medicine are essential to improve outcomes for individuals with AD and to mitigate its growing societal impact. …”
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Choosing between GLP-1 Receptor Agonists and DPP-4 Inhibitors: A Pharmacological Perspective by Dominique Xavier Brown, Marc Evans

“…Each individual incretin agent has benefits and pitfalls relating to aspects such as glycaemic and nonglycaemic efficacy, safety and tolerability, ease of administration, and cost. Overall, a personalized medicine approach has been found to be favourable, tailoring the incretin agent to benefit and suit patient's needs such as renal impairment (RI) or hepatic impairment (HI).…”
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Redox Signaling in Diabetic Nephropathy: Hypertrophy versus Death Choices in Mesangial Cells and Podocytes by Gina Manda, Alexandru-Ionel Checherita, Maria Victoria Comanescu, Mihail Eugen Hinescu

“…This will foster the discovery of reliable biomarkers for early diagnosis and prognosis, and will guide the discovery of new therapeutic approaches for personalized medicine in diabetic nephropathy.…”
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Trends in pharmaceutical marketing and branding research: a bibliometric analysis (2009–2023) by Thamburaj Anthuvan, Kajal Maheshwari, Raghunath Dantu

“…The study also highlighted a shift toward AI-driven marketing, digital transformation and personalized medicine, especially in the post-COVID-19 period (2020 onwards). …”
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Prediction of individual patient outcomes to psychotherapy vs medication for major depression by Devon LoParo, Boadie W. Dunlop, Charles B. Nemeroff, Helen S. Mayberg, W. Edward Craighead

“…These results represent a highly promising, easily implemented, potential advance for personalized medicine in MDD treatment.…”
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A modern approach to the treatment of plaque psoriasis by Drvar Daniela Ledić, Vlahinić Tomislav, Maleš Željan, Turčić Petra, Čeović Romana

“…Development in the field of immunogenetics of psoriasis leads to personalized medicine.…”
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Latest Approved Therapies for Metastatic Melanoma: What Comes Next? by Farid Menaa

“…., genomics for personalized medicine, nanomedicine to overcome low free-drug bioavailability and targeting, systematic search of “melanoma stem cells” to enhance the prognosis and develop more valuable theranostics). …”
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Microfluidic mixing probe: generating multiple concentration-varying flow dipoles by Dima Samer Ali, Ayoub Glia, Pavithra Sukumar, Muhammedin Deliorman, Mohammad A. Qasaimeh

“…The MMP’s ability to localize drug exposure across cell cultures without cross-contamination opens new avenues for drug testing, personalized medicine, and molecular biology. It enables precise control over gradient delivery, dosage, and timing, which are key factors in enhancing drug evaluation processes.…”
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SNP_TATA_COMPARATOR: Web SERVICE FOR COMPARISON OF SNPs WITHIN GENE PROMOTЕRS ASSOCIATED WITH HUMAN DISEASES USING THE EQUILIBRIUM EQUATION OF THE TBP/TATA COMPLEX by D. A. Rasskazov, K. V. Gunbin, P. M. Ponomarenko, O. V. Vishnevsky, M. P. Ponomarenko, D. A. Afonnikov

“…The reported Web service SNP_TATA_Comparator is designed for personalized medicine using individual genomes in diagnosis, monitoring, prevention, and treatment.…”
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