6,000+ peer-reviewed studies validate InBody body composition analysis across oncology, nephrology, sports science, sarcopenia, bariatric surgery, and pediatrics. Browse by specialty.
Curated indexes of the most-cited InBody validation and application studies in each clinical area.
Sarcopenia screening, prognosis prediction, treatment monitoring in solid tumors and hematologic malignancies.
Dry-weight assessment, ECW/TBW monitoring, sarcopenia in CKD and transplant patients.
Performance optimisation, off-season monitoring, elite-athlete reference data, segmental imbalance.
AWGS 2025 criteria, Indian elderly reference data, frailty prediction.
Lean mass preservation, post-op monitoring, weight regain prediction.
Indian phenotype studies, visceral fat as diabetes predictor, muscle quality in T2DM.
Pediatric reference ranges, childhood obesity intervention monitoring.
Comparison studies establishing InBody accuracy as a DEXA-equivalent method.
Body composition assessment in respiratory disease and critical-care recovery.
Validated against the gold-standard DEXA scan in dozens of peer-reviewed comparison studies.
Same subject, same conditions, same number — eliminates operator variability that plagues calipers and skinfolds.
Direct segmental multi-frequency measurement — no age/gender guesswork that limits standard BIA scales.
Over 6,000 peer-reviewed studies have been published using InBody devices across oncology, nephrology, sports science, sarcopenia, bariatric surgery, pediatrics, and metabolic medicine.
InBody DSM-BIA achieves 98.4% correlation with DEXA — the medical gold standard — validated in elderly, athletes, oncology, and pediatric cohorts.
Yes — used at AIIMS, PGI Chandigarh, Tata Memorial, Apollo, Manipal and most major Indian medical institutions. Indian publications cover sarcopenia, T2 diabetes, oncology cachexia, dialysis monitoring, and pediatric nutrition.
Direct Segmental Multi-frequency Bioelectrical Impedance Analysis. Measures the body in 5 segments at multiple frequencies — eliminating empirical equations and gender/age guesswork that limit standard BIA scales.
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