Article
Health Care Sciences & Services
Umile Giuseppe Longo, Arianna Carnevale, Carlo Massaroni, Daniela Lo Presti, Alessandra Berton, Vincenzo Candela, Emiliano Schena, Vincenzo Denaro
Summary: The study proposes a personalized, predictive, participatory, precision, and preventive (P5) medicine model, highlighting the potential for tailoring diagnosis and therapy for patients with RC diseases by defining genetic predispositions and assessing lifestyle and environmental factors.
JOURNAL OF PERSONALIZED MEDICINE
(2021)
Review
Chemistry, Analytical
Georgii V. V. Grigorev, Alexander V. V. Lebedev, Xiaohao Wang, Xiang Qian, George V. V. Maksimov, Liwei Lin
Summary: The utilization of microfluidic chips for single RBC studies has attracted great interest in recent years. It involves filtering, trapping, analyzing, and releasing single erythrocytes for various applications. This article critically reviews the current state-of-the-art and recent advances in microfluidics for single RBC analyses, including integrated sensors, trapping arrays, dielectrophoretic and agglutination/aggregation studies, clinical implications, microarrays, sorting/counting and trapping techniques, organs-on-chips, multi-organ chips, and drug discovery. The limitations and future prospects of each technology are also addressed.
Review
Biochemistry & Molecular Biology
Zachary V. Braig
Summary: With the advent of EV-based liquid biopsies, adaptive therapy has emerged as a novel approach to cancer treatment. By continuously monitoring the changing tumor environment, physicians can adjust treatments accordingly, leading to more precise personalized medicine.
BIOMEDICAL JOURNAL
(2022)
Review
Biochemistry & Molecular Biology
Juntuo Zhou, Lijun Zhong
Summary: Metabolomics is a rapidly developing technique with promising applications in disease prediction and personalized medicine. Liquid chromatography-mass spectrometry is the most widely used analytical strategy, and recent studies have demonstrated its novel applications in predictive and personalized medicine, such as early diagnosis and prognostic evaluation. The application of metabolomics in COVID-19 research is also summarized.
FRONTIERS IN MOLECULAR BIOSCIENCES
(2022)
Review
Medicine, General & Internal
Neha Jain, Upendra Nagaich, Manisha Pandey, Dinesh Kumar Chellappan, Kamal Dua
Summary: In the era of medical revolution, genomic testing plays a crucial role in the development of predictive, preventive, and personalized medicine. Techniques such as predictive screening and facial analysis can enhance diagnostic accuracy and treatment effectiveness. The application of genomic technologies, artificial intelligence, and machine learning is essential for the advancement of preventive and personalized medicine. Biomarkers are important for diagnosis, prognosis, and selection of personalized medicine. This review highlights the applicability and challenges of predictive diagnostics in the development of personalized medicine.
Review
Biochemistry & Molecular Biology
Giovanni Cultrera, Antonino Lo Giudice, Simona Santonocito, Vincenzo Ronsivalle, Cristina Conforte, Giuseppe Reitano, Rosalia Leonardi, Gaetano Isola
Summary: This study aims to update the understanding of the role and impact of principal micro-RNAs (miRNAs) that are most frequently associated during Orthodontic Tooth Movement (OTM).
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Review
Medicine, General & Internal
Lenka Koklesova, Alena Mazurakova, Marek Samec, Erik Kudela, Kamil Biringer, Peter Kubatka, Olga Golubnitschaja
Summary: Mitochondria play a crucial role in cellular functions and their damage can compromise overall organ functionality. The outcomes of mitochondrial stress vary significantly among individuals, leading to a wide range of associated pathologies. Distinguishing disease predisposition and progression in the context of compromised mitochondrial health is a challenging task in the paradigm shift towards personalized medicine. Robust quantification of mitochondrial health is essential for the successful implementation of personalized medicine concepts. The Mitochondrial Health Index (MHI) and Bioenergetic Health Index (BHI) hold potential as quantification systems to assess mitochondrial health and its relevance to disease development and severity.
Article
Physiology
Vassilis L. Tzounakas, Alkmini T. Anastasiadi, Dimitrios G. Karadimas, Athanassios D. Velentzas, Violetta I. Anastasopoulou, Effie G. Papageorgiou, Konstantinos Stamoulis, Issidora S. Papassideri, Anastasios G. Kriebardis, Marianna H. Antonelou
Summary: This study assessed the changes in donor red blood cells (RBCs) when exposed to plasma and body temperature during the first 24 hours post-transfusion. The study found significant variations in certain RBC properties during this time period, which may have clinical implications for recipients.
FRONTIERS IN PHYSIOLOGY
(2022)
Review
Cardiac & Cardiovascular Systems
E. Reijnders, A. van der Laarse, J. W. Jukema, C. M. Cobbaert
Summary: By analyzing research papers, we explored strategies for minimizing residual cardiovascular disease risk and identified new risk factors. Personalized treatment based on individual risk factors, including lipid abnormalities, is crucial.
FRONTIERS IN CARDIOVASCULAR MEDICINE
(2023)
Review
Engineering, Biomedical
Bjoern M. Eskoficr, Jochen Klucken
Summary: Artificial intelligence (AI) and machine learning (ML) methods are widely used in medicine and healthcare. However, there is a lack of comprehensive research on the use of these methods in longitudinal analysis and prediction of an individual patient's health status within a personalized disease pathway. This review aims to fill that gap by providing an overview of the AI and ML methods employed in this field and discussing the strengths, limitations, and future research directions.
ANNUAL REVIEW OF BIOMEDICAL ENGINEERING
(2023)
Article
Health Care Sciences & Services
Michael Kenn, Rudolf Karch, Dan Cacsire Castillo-Tong, Christian F. Singer, Heinz Koelbl, Wolfgang Schreiner
Summary: The presence or absence of estrogen and progesterone receptors is an important biomarker for therapy selection in breast cancer patients. Conventional immunohistochemistry measurement has errors, and there have been attempts to increase precision by incorporating gene expression information. Dempster-Shafer decision theory (DST) is a suitable approach for dealing with contradicting evidence obtained through different techniques. This study compares DST with classical statistics in the context of breast cancer patient data, aiming to demonstrate the potential applications of DST in medicine.
JOURNAL OF PERSONALIZED MEDICINE
(2022)
Article
Orthopedics
Benjamin G. Domb, Vivian W. Ouyang, Cammille C. Go, Jeffrey A. Gornbein, Jacob Shapira, Mitchell B. Meghpara, David R. Maldonado, Ajay C. Lall, Philip J. Rosinsky
Summary: This study successfully created a machine learning-based prognostic model for predictive analytics in patients undergoing hip arthroscopy. The model predicts survivorship and the need for repeat surgeries, and has been developed into a web-based tool to assist physicians in shared decision making.
AMERICAN JOURNAL OF SPORTS MEDICINE
(2022)
Review
Medicine, General & Internal
Aoife Leahy, Margaret O'Connor, Jennifer Condon, Sarah Heywood, Elaine Shanahan, Catherine Peters, Rose Galvin
Summary: This systematic review and meta-analysis aims to examine the diagnostic accuracy of the Clinical Frailty Scale in identifying hospitalised adults with frailty and medical diagnosis, as well as its predictive value in determining those at increased risk of subsequent adverse outcomes. The findings of this study will contribute to resource planning and targeted interventions for older adults at risk of adverse outcomes.
Article
Medicine, General & Internal
Hao-Wen Chen, Rui Zhou, Bi-Fei Cao, Kuan Liu, Qi Zhong, Yi-Ning Huang, Hua-Min Liu, Jin-Qing Zhao, Xian-Bo Wu
Summary: This study explores the relationship between specific gut microbiota and insomnia, and their mediating effects of inflammation. Targeting these specific gut microbiota alterations could potentially lead to personalized treatment strategies for managing insomnia.
Article
Biochemistry & Molecular Biology
Bo Chen, Kang Xie, Jianzhong Zhang, Liting Yang, Hongshu Zhou, Liyang Zhang, Renjun Peng
Summary: Mitochondrial dysfunction and necroptosis play important roles in multiple cardiovascular diseases, and their implications in intracranial aneurysms (IAs) are unclear. This study aimed to explore their value in predictive, preventive, and personalized medicine for IAs. Key genes involved in mitochondrial dysfunction and necroptosis were identified, and their diagnostic value for IA was confirmed using machine learning. Single-cell sequencing analysis showed that mitochondrial dysfunction and necroptosis were up-regulated in monocytes/macrophages and vascular smooth muscle cells within IA lesions. Mitochondria-induced necroptosis may be a novel potential target for the diagnosis, prevention, and treatment of IA.
