Advancing clinical biochemistry: addressing gaps and driving future innovations
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, s...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-04-01
|
| Series: | Frontiers in Medicine |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2025.1521126/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850216186895138816 |
|---|---|
| author | Haiou Cao Enwa Felix Oghenemaro Amaliya Latypova Amaliya Latypova Munthar Kadhim Abosaoda Munthar Kadhim Abosaoda Munthar Kadhim Abosaoda Gaffar Sarwar Zaman Anita Devi |
| author_facet | Haiou Cao Enwa Felix Oghenemaro Amaliya Latypova Amaliya Latypova Munthar Kadhim Abosaoda Munthar Kadhim Abosaoda Munthar Kadhim Abosaoda Gaffar Sarwar Zaman Anita Devi |
| author_sort | Haiou Cao |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-3b1a10bbff224170bc20e6ff7c1b33be |
| institution | OA Journals |
| issn | 2296-858X |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj-art-3b1a10bbff224170bc20e6ff7c1b33be2025-08-20T02:08:23ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2025-04-011210.3389/fmed.2025.15211261521126Advancing clinical biochemistry: addressing gaps and driving future innovationsHaiou Cao0Enwa Felix Oghenemaro1Amaliya Latypova2Amaliya Latypova3Munthar Kadhim Abosaoda4Munthar Kadhim Abosaoda5Munthar Kadhim Abosaoda6Gaffar Sarwar Zaman7Anita Devi8Department of Oncology, Heilongjiang Beidahuang Group General Hospital, Harbin, Heilongjiang, ChinaDepartment of Pharmaceutical Microbiology, Faculty of Pharmacy, Delta State University, Abraka, NigeriaDepartment of Medical and Technical Information Technology, Bauman Moscow State Technical University, Moscow, RussiaDepartment of Mathematics and Natural Sciences, Gulf University for Science and Technology, Mishref, KuwaitCollege of Pharmacy, The Islamic University, Najaf, IraqCollege of Pharmacy, The Islamic University of Al Diwaniyah, Al Diwaniyah, IraqCollege of Pharmacy, The Islamic University of Babylon, Babylon, IraqDepartment of Clinical Laboratory Science, College of Applied Medical Sciences, King Khalid University, Abha, Saudi ArabiaDepartment of Applied Sciences, Chandigarh Engineering College, Chandigarh Group of Colleges-Jhanjeri, Mohali, IndiaModern 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.https://www.frontiersin.org/articles/10.3389/fmed.2025.1521126/fullclinical biochemistrybiomarkerspoint-of-care systemartificial intelligencepersonalized medicinemass spectrometry |
| spellingShingle | Haiou Cao Enwa Felix Oghenemaro Amaliya Latypova Amaliya Latypova Munthar Kadhim Abosaoda Munthar Kadhim Abosaoda Munthar Kadhim Abosaoda Gaffar Sarwar Zaman Anita Devi Advancing clinical biochemistry: addressing gaps and driving future innovations Frontiers in Medicine clinical biochemistry biomarkers point-of-care system artificial intelligence personalized medicine mass spectrometry |
| title | Advancing clinical biochemistry: addressing gaps and driving future innovations |
| title_full | Advancing clinical biochemistry: addressing gaps and driving future innovations |
| title_fullStr | Advancing clinical biochemistry: addressing gaps and driving future innovations |
| title_full_unstemmed | Advancing clinical biochemistry: addressing gaps and driving future innovations |
| title_short | Advancing clinical biochemistry: addressing gaps and driving future innovations |
| title_sort | advancing clinical biochemistry addressing gaps and driving future innovations |
| topic | clinical biochemistry biomarkers point-of-care system artificial intelligence personalized medicine mass spectrometry |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2025.1521126/full |
| work_keys_str_mv | AT haioucao advancingclinicalbiochemistryaddressinggapsanddrivingfutureinnovations AT enwafelixoghenemaro advancingclinicalbiochemistryaddressinggapsanddrivingfutureinnovations AT amaliyalatypova advancingclinicalbiochemistryaddressinggapsanddrivingfutureinnovations AT amaliyalatypova advancingclinicalbiochemistryaddressinggapsanddrivingfutureinnovations AT muntharkadhimabosaoda advancingclinicalbiochemistryaddressinggapsanddrivingfutureinnovations AT muntharkadhimabosaoda advancingclinicalbiochemistryaddressinggapsanddrivingfutureinnovations AT muntharkadhimabosaoda advancingclinicalbiochemistryaddressinggapsanddrivingfutureinnovations AT gaffarsarwarzaman advancingclinicalbiochemistryaddressinggapsanddrivingfutureinnovations AT anitadevi advancingclinicalbiochemistryaddressinggapsanddrivingfutureinnovations |