Diagnosis Based on Population Data versus Personalized Data: The Evolving Paradigm in Laboratory Medicine DOI Creative Commons
Abdurrahman Coşkun

Diagnostics, Год журнала: 2024, Номер 14(19), С. 2135 - 2135

Опубликована: Сен. 25, 2024

The diagnosis of diseases is a complex process involving the integration multiple parameters obtained from various sources, including laboratory findings. interpretation data inherently comparative, necessitating reliable references for accurate assessment. Different types references, such as reference intervals, decision limits, action and change values, are essential tools in data. Although these used to interpret individual data, they typically derived population which raises concerns about their reliability consequently accuracy individuals’ critical all subsequent steps medical practice, making estimate priority. For more precise interpretation, should ideally be an individual’s own rather than averages. This manuscript summarizes current sources examines themselves, discusses transition population-based medicine personalized medicine.

Язык: Английский

Quercetin-functionalized nanomaterials: Innovative therapeutic avenues for Alzheimer's disease management DOI
Jinjin Pei,

Ranil Vikraman Kumarasamy,

Selvaraj Jayaraman

и другие.

Ageing Research Reviews, Год журнала: 2025, Номер unknown, С. 102665 - 102665

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

3

From population-based to personalized laboratory medicine: continuous monitoring of individual laboratory data with wearable biosensors DOI
Abdurrahman Coşkun, İsmail Savaş, Ozge Can

и другие.

Critical Reviews in Clinical Laboratory Sciences, Год журнала: 2025, Номер unknown, С. 1 - 30

Опубликована: Фев. 1, 2025

Monitoring individuals' laboratory data is essential for assessing their health status, evaluating the effectiveness of treatments, predicting disease prognosis and detecting subclinical conditions. Currently, monitoring performed intermittently, measuring serum, plasma, whole blood, urine occasionally other body fluids at predefined time intervals. The ideal approach entails continuous measurement concentration activity biomolecules in all fluids, including solid tissues. This can be achieved through use biosensors strategically placed various locations on human where measurements are required monitoring. High-tech wearable provide an ideal, noninvasive, esthetically pleasing solution data. However, despite significant advances biosensor technology, capacities number different analytes that continuously monitored patients not yet desired level. In this review, we conducted a literature search examined: (i) overview background personalized medicine, (ii) used individuals, (iii) types methods biomolecules, (iv) statistical algorithms analysis interpretation evaluation.

Язык: Английский

Процитировано

1

Simulation and Local Parametric Sensitivity Analysis of a Computational Model of Fructose Metabolism DOI Open Access

Ivona Buljan,

Maja Benković, Tamara Jurina

и другие.

Processes, Год журнала: 2025, Номер 13(1), С. 125 - 125

Опубликована: Янв. 6, 2025

This research utilized a mathematical model of fructose metabolism within the CellDesigner software package to investigate effects varying dietary intake on fat metabolism. By simulating different meal patterns with levels fructose, provided valuable insights into relationship between consumption and hepatic triglyceride accumulation. The results demonstrated clear correlation increased elevated triglycerides. Additionally, local parametric sensitivity analysis identified glyceraldehyde-3-phosphate pyruvate as key regulatory factors in this process. Importantly, accurately simulated changes concentration its metabolites, validating predictive capabilities. These findings underscore importance systems biology elucidating complex mechanisms underlying nutrition-related diseases. integrating computational modeling experimental data, researchers can gain deeper understanding how influence metabolic pathways contribute health outcomes. Ultimately, holds promise enabling personalized nutrition recommendations tailored individual needs genetic predispositions.

Язык: Английский

Процитировано

0

Stimuli‐Responsive Nano Drug Delivery Systems for the Treatment of Neurological Diseases DOI Open Access
Xi‐jian Dai, Weilong Li, Dongdong Xie

и другие.

Small, Год журнала: 2025, Номер 21(9)

Опубликована: Янв. 22, 2025

Abstract Nanomaterials with unparalleled physical and chemical attributes have become a cornerstone in the field of nanomedicine delivery. These materials can be engineered into various functionalized nanocarriers, which focus research. Stimulus‐responsive nanodrug delivery systems (SRDDS) stand out as sophisticated class nanocarriers that release drugs response to environmental cues. Due complex pathogenesis multifaceted pathological environment nervous system, developing accurate effective drug therapy low side‐effects is formidable task. In recent years, SRDDS been widely used treatment neurological diseases. By customizing align specific microenvironment system tissues or external stimulation, efficacy enhanced. This review provides an in‐depth look at characteristics diseases highlights case studies tailored treat these disorders based on unique stimulation criteria triggers. Additionally, this comprehensive overview progress future prospects technology diseases, providing valuable guidance for its transition from fundamental research clinical application.

Язык: Английский

Процитировано

0

Advancing clinical biochemistry: addressing gaps and driving future innovations DOI Creative Commons

Haiou Cao,

Felix Oghenemaro Enwa,

Amaliya Latypova

и другие.

Frontiers in Medicine, Год журнала: 2025, Номер 12

Опубликована: Апрель 8, 2025

Modern healthcare depends fundamentally on clinical biochemistry for disease diagnosis and therapeutic guidance. The discipline encounters operational constraints, including sampling inefficiencies, precision limitations, expansion difficulties. Recent advancements in established technologies, such as mass spectrometry the development of high-throughput screening point-of-care are revolutionizing industry. biosensor technology wearable monitors facilitate continuous health tracking, Artificial Intelligence (AI)/machine learning (ML) applications enhance analytical capabilities, generating predictive insights individualized treatment protocols. However, concerns regarding algorithmic bias, data privacy, lack transparency decision-making (“black box” models), over-reliance automated systems pose significant challenges that must be addressed responsible AI integration. limitations remain—substantial implementation expenses, system incompatibility issues, information security vulnerabilities intersect with ethical considerations fairness protected information. Addressing these demands coordinated efforts between clinicians, scientists, technical specialists. This review discusses current biochemistry, explicitly addressing reference intervals barriers to implementing innovative biomarkers medical settings. discussion evaluates how advanced technologies multidisciplinary collaboration can overcome constraints while identifying research priorities diagnostic accessibility better delivery.

Язык: Английский

Процитировано

0

The Role of Proteomics and Genomics in the Development of Colorectal Cancer Diagnostic Tools and Potential New Treatments DOI

Gaurav Paraskar,

Sankha Bhattacharya,

Kuttiappan Anitha

и другие.

ACS Pharmacology & Translational Science, Год журнала: 2025, Номер unknown

Опубликована: Апрель 10, 2025

Язык: Английский

Процитировано

0

Diagnosis Based on Population Data versus Personalized Data: The Evolving Paradigm in Laboratory Medicine DOI Creative Commons
Abdurrahman Coşkun

Diagnostics, Год журнала: 2024, Номер 14(19), С. 2135 - 2135

Опубликована: Сен. 25, 2024

The diagnosis of diseases is a complex process involving the integration multiple parameters obtained from various sources, including laboratory findings. interpretation data inherently comparative, necessitating reliable references for accurate assessment. Different types references, such as reference intervals, decision limits, action and change values, are essential tools in data. Although these used to interpret individual data, they typically derived population which raises concerns about their reliability consequently accuracy individuals’ critical all subsequent steps medical practice, making estimate priority. For more precise interpretation, should ideally be an individual’s own rather than averages. This manuscript summarizes current sources examines themselves, discusses transition population-based medicine personalized medicine.

Язык: Английский

Процитировано

2