Bridging Gaps and Directing Future Innovations: Revisiting the Contribution of Biochemistry in Improving Clinical Management

Abstract

Aims: to review the contributions of biochemistry and its clinical applications in patients management. Discussion: Advanced health professionals and their healthcare delivery nowadays rely essentially on basic biochemistry and its clinical application for understanding the pathophysiology of disease. Those doctors can make a definite diagnosis with best therapeutic option, pharmacologically and non-pharmacologically, all made available with strong basic and applied knowledge and by doing so, giving significant clinical benefits for the patient and also the best practice of clinical management. Classic daily problem encounters including operational restrictions, e.g., the sum of clinical sample delivered is way too scanty, equipment incompatibility, technique’s precision hindrances, and unsupported financial difficulties. Recent advancements in established technologies and apply it on clinical setting mass service, such as advance spectrometry and the buildout of state of the art high-throughput screening and basically point-of-care technologies such as current biosensor technology and wearable monitors which facilitate continuous health tracking are the role of Biochemistry in clinical management advancement. The application of these sophisticated biochemistry approaches is actually transforming the face of clinical service on to a more modern, reliable and accountable clinical management. Machine learning (ML) and Artificial Intelligence (AI) applications enhance analytical capabilities based on wide array of clinical proven data and allowing more room for predictive insights for individualized treatment protocols. Concerns regarding achievements and its dynamic limitation, including ethical issues always pose significant challenges. It must be addressed for more responsible integration between basic science and clinical management conducted by doctors and hospitals. Interprofessional colaboration ensure fairness and responsible health service while at the same time identifying research priorities to enhance diagnostic precision and better accessibility for superior healthcare delivery, such can be seen in tropical diseases management, cancer treatment, genetic disorders and metabolic diseases.