Limitations of Separating Athletes into High or Low-Risk Groups based on a Cut-Off. A Clinical Commentary by Justin M. Losciale, Linda K. Truong, Patrick Ward, Gary S. Collins, Garrett S. Bullock

“…Using continuous variables on its original scale is advantageous because information is not discarded, outcome prediction accuracy is not lost, and personalized medicine can be facilitated. # Clinical Application Researchers and clinicians are encouraged to analyze and interpret the results of tests and measures using continuous variables and avoid relying on singular cut-offs to guide decisions. …”
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Exploring the genetic profiles linked to senescence in thyroid tumors: insights on predicting disease progression and immune responses by Baoliang Zhang, Yanping Pang

“…The proposed model not only accurately predicts patient survival but also reveals factors related to immunotherapy response, offering new perspectives for personalized medicine.…”
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Automated Classification of Circulating Tumor Cells and the Impact of Interobsever Variability on Classifier Training and Performance by Carl-Magnus Svensson, Ron Hübler, Marc Thilo Figge

“…Application of personalized medicine requires integration of different data to determine each patient’s unique clinical constitution. …”
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Rheological Characterization and Printability of Sodium Alginate–Gelatin Hydrogel for 3D Cultures and Bioprinting by Mohan Kumar Dey, Ram V. Devireddy

“…This work lays the groundwork for future advancements in bioprinted cancer models, contributing to the development of more effective tools for drug screening and personalized medicine.…”
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Genetic advancements in breast cancer treatment: a review by Marzieh Shokoohi, Sadaf Sedaghatshoar, Homaira Arian, Milad Mokarami, Fatemeh Habibi, Fatemeh Bamarinejad

“…Innovations in delivery systems, combination strategies, and integrating gene therapy with existing treatments offer promising solutions to overcome these barriers. Personalized medicine, guided by genomic profiling, further enhances treatment precision by identifying patient-specific mutations, such as BRCA1 and BRCA2, allowing for more tailored and effective interventions. …”
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Nano-Oncologic Vaccine for Boosting Cancer Immunotherapy: The Horizons in Cancer Treatment by Chao Chen, Yue Xu, Hui Meng, Hongyi Bao, Yong Hu, Chunjian Li, Donglin Xia

“…Overall, nano-oncologic vaccines hold great promise for changing the landscape of cancer treatment and advancing personalized medicine, paving the way for more effective therapeutic strategies tailored to individual patient needs.…”
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Artificial intelligence in kidney transplantation: a 30-year bibliometric analysis of research trends, innovations, and future directions by Ying Jia He, Pin Lin Liu, Tao Wei, Tao Liu, Yi Fei Li, Jing Yang, Wen Xing Fan

“…The findings underscore a rapid expansion in AI applications since 2017, with emerging trends in personalized medicine, multimodal data fusion, and telehealth. …”
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Pharmacomicrobiomics: a new field contributing to optimizing drug therapy in Parkinson’s disease by Yi Zhang, Chengjun Mo, Penghui Ai, Xiaoqin He, Qin Xiao, Xiaodong Yang

“…Pharmacomicrobiomics, an emerging field focusing on the interplay of drugs and gut microbiota, provides a potential foundation for making certain advances in personalized medicine. Understanding the communication between gut microbiota and antiparkinsonian drugs is critical for precise treatment of Parkinson’s disease. …”
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Polygenic diseases by Sergey Dolomatov, Walery Zukow, Anna Zhukova, Svetlana Smirnova

“…Integration of genetic testing into clinical practice offers opportunities for improved patient outcomes through targeted interventions and personalized medicine strategies. …”
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The use of artificial intelligence in induced pluripotent stem cell-based technology over 10-year period: A systematic scoping review. by Quan Duy Vo, Yukihiro Saito, Toshihiro Ida, Kazufumi Nakamura, Shinsuke Yuasa

“…<h4>Conclusions</h4>Our review offers insights into the role of AI in regenerative and personalized medicine, highlighting both challenges and opportunities. …”
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The Motives behind the Skepticism of Conventional Medicine Advocates towards Traditional Persian Medicine: An Expert Opinion by Majid Nimrouzi, Zahra Salehi, Faranak Alembizar

“…It is believed by many that personalized medicine improves the management of patients. …”
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Beyond boundaries: Charting the frontier of healthcare with big data and ai advancements in pharmacovigilance by Arohi Agarwal, Gagan Singh, Samyak Jain, Piyush Mittal

“…The continuous evolution of these technologies holds promise for improving patient safety, personalized medicine, and overall healthcare outcomes.…”
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Recent advances in iontophoresis-assisted microneedle devices for transdermal biosensing and drug delivery by Gaobo Wang, Natsuho Moriyama, Soichiro Tottori, Matsuhiko Nishizawa

“…These integrated platforms represent a major advancement in personalized medicine, allowing dynamic therapeutic adjustments based on continuous feedback. …”
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The evolving landscape: Role of artificial intelligence in cancer detection by Praveen Kumar, Sakshi V. Izankar, Induni N. Weerarathna, David Raymond, Prateek Verma

“…Furthermore, it explained the indispensable role of pathology and histopathology in cancer diagnosis, emphasizing AI's potential to augment traditional methods and improve diagnostic precision. Genomics and personalized medicine were explored as integral components of cancer detection, illustrating how AI facilitates tailored treatment strategies by analyzing vast genomic datasets. …”
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Integrating Model‐Informed Drug Development With AI: A Synergistic Approach to Accelerating Pharmaceutical Innovation by Karthik Raman, Rukmini Kumar, Cynthia J. Musante, Subha Madhavan

“…By integrating the predictive power of computational models and the data‐driven insights of AI, the synergy between these approaches has the potential to accelerate drug discovery, optimize treatment strategies, and usher in a new era of personalized medicine, benefiting patients, researchers, and the pharmaceutical industry as a whole.…”
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Bio-primed machine learning to enhance discovery of relevant biomarkers by David M. Henke, Alexander Renwick, Joseph R. Zoeller, Jitendra K. Meena, Nicholas J. Neill, Elizabeth A. Bowling, Kristen L. Meerbrey, Thomas F. Westbrook, Lukas M. Simon

“…This method holds promise for advancing personalized medicine by uncovering novel therapeutic targets and understanding the complex interplay of genetic and molecular factors in disease.…”
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Identification of specific risk factors and predictive analytics for cardio-cerebral arterial stenosis: a comparative study utilizing framingham risk stratification insights by Gege Zhang, Sijie Dong, Fanfan Feng, Weihao Kan, Taozhen Shi, Hongmei Ding, Ruiguo Dong

“…The predictive model demonstrated high accuracy, highlighting the importance of personalized medicine in clinical decision-making.…”
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Understanding integrative approach of translational bioinformatics on cardiovascular disease: Myocardial Ischemia by Yeswanth Ranganathan, Saayaa Nazar, Ravi Shankar Krishnan, Yuvaraj Dinakarkumar, Vijayalakshmi Varadarajan, Lenita Sebastian, Brindha Rethinam

“…The study highlights the impact of personalized medicine, drug discovery, and repurposing through bioinformatics. …”
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Advancements in Liposomal Nanomedicines: Innovative Formulations, Therapeutic Applications, and Future Directions in Precision Medicine by Izadiyan Z, Misran M, Kalantari K, Webster TJ, Kia P, Basrowi NA, Rasouli E, Shameli K

“…The integration of artificial intelligence and machine learning in optimizing liposomal designs promises to revolutionize personalized medicine, paving the way for innovative strategies in disease detection and therapeutic interventions. …”
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The hype around ctDNA guiding an informed perioperative therapeutic strategy in early-stage non-small cell lung cancer by Gaia Passarella, Stefania Canova, Maria Ida Abbate, Giulia Caspani, Luca Sala, Alessandro Russo, Paola Muscolino, Francesca Colonese, Diego Luigi Cortinovis

“…Circulant tumoral DNA (ctDNA) emerged as a promising prognostic and predictive biomarker that may guide the future perioperative strategy and pave the way to personalized medicine also in this exciting field. This narrative review aims to put in the context the employment of ctDNA, give some perspective and suggestions weighing the pros and cons of this technique for our tomorrow clinical practice.…”
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