BIOLOGICAL AGE ASSESSMENT USING THE F‑BAS FRAMEWORK A PRACTICAL CLINICAL FRAMEWORK TO ASSESS BIOLOGICAL AGE USING A NOVEL SCORING SYSTEM: FARMAN ALI BIOMARKER AGE SCORE (F BAS)
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Keywords
biological age, epigenetic clocks, metabolic flexibility, inflammaging, F‑BAS, clinical ageing model. (6,7,20,22)
Abstract
Chronological age poorly reflects physiological decline. The emerging ability to quantify biological age using multi-domain biomarkers offers a transformative opportunity for clinicians to personalise interventions and monitor responses to longevity-focused therapies. However, existing approaches remain fragmented and difficult to integrate into routine practice.
This study synthesizes the importance of creating a novel scoring system that utilizes most clinically relevant biomarkers of ageing and proposes the Farman Ali Biomarker Age Score (F‑BAS), a unified, surgeon-driven model enabling frontline practitioners to assess biological age systematically, pragmatically, and accurately. However, this is a two-part study with this part comprising of the analytical review and the next part dealing with execution of the F-BAS into clinical practice.
A structured narrative review was performed across molecular, metabolic, inflammatory, hormonal, and functional domains. Each biomarker was evaluated for validity, reproducibility, accessibility, and clinical utility. Results were integrated into a three‑tier scoring system comprising Deep Cellular Diagnostics, Metabolic Resilience Metrics, Systemic Stress and Endocrine Balance, and Functional Resilience. (3,4,5,9)
The F‑BAS consolidates 25–30 biomarkers into an interpretable metric, improving predictive accuracy for morbidity and lifespan estimation. This clinically operable model empowers clinicians to implement biological age assessment across diverse settings, enhancing early risk detection and personalized health optimization.
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Dr. Farman Ali
Specialist – Department of General Surgery, Tata Main Hospital, Joda, Odisha, India.
