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REVIEW article
Front. Med.
Sec. Precision Medicine
Volume 12 - 2025 | doi: 10.3389/fmed.2025.1521126
Advancing Clinical Biochemistry: Addressing Gaps and Driving Future Innovations
Provisionally accepted
Haiou Cao 1
Enwa Felix Oghenemaro 2*
Munthar Kadhim Abosaoda 3 Amaliya Latypova 4
Gaffar Sarwar Zaman 5
Anita Devi 6- 1 Beidahuang Group Mudanjiang Hospital, Mudanjiang, China
- 2 Delta State University, Abraka, Abraka, Nigeria
- 3 The Islamic University, Najaf, Iraq
- 4 Bauman Moscow State Technical University, Moscow, Russia
- 5 King Khalid University, Aboa, Saudi Arabia
- 6 Chandigarh Engineering College, Chandigarh Group of Colleges-Jhanjeri, Mohali140307,, Punjab, India
Modern healthcare depends fundamentally on clinical biochemistry for disease diagnosis and therapeutic guidance. The discipline encounters operational constraints, including sampling inefficiencies, precision limitations, and expansion difficulties. Recent advancements in established technologies, such as mass spectrometry and the development of high-throughput screening and point-of-care technologies, are revolutionizing the industry. Modern biosensor technology and wearable monitors facilitate continuous health tracking, Artificial Intelligence (AI)/machine learning (ML) applications enhance analytical capabilities, generating predictive insights for individualized treatment protocols. However, concerns regarding algorithmic bias, data privacy, lack of transparency in decision-making ('black box' models), and over-reliance on automated systems pose significant challenges that must be addressed for responsible AI integration.However, significant limitations remain-substantial implementation expenses, system incompatibility issues, and information security vulnerabilities intersect with ethical considerations regarding algorithmic fairness and protected health information. Addressing these challenges demands coordinated efforts between clinicians, scientists, and technical specialists. This review discusses current challenges in clinical biochemistry, explicitly addressing the limitations of reference intervals and barriers to implementing innovative biomarkers in medical settings. The discussion evaluates how advanced technologies and multidisciplinary collaboration can overcome these constraints while identifying research priorities to enhance diagnostic precision and accessibility for better healthcare delivery.
Keywords: Clinical biochemistry, biomarkers, Point-of-care system, artificial intelligence, personalized medicine, Mass Spectrometry
Received: 20 Nov 2024; Accepted: 18 Mar 2025.
Copyright: © 2025 Cao, Felix Oghenemaro, Abosaoda, Latypova, Zaman and Devi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Enwa Felix Oghenemaro, Delta State University, Abraka, Abraka, Nigeria
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.