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Objectives: The aim of the present work is to develop a novel method for predicting age in individuals over 50 years old, utilizing regression models., Methods: The conducted study is of an analytical cross-sectional nature, involving a sample of 44 young subjects and 107 elderly subjects. The necessary data for this research were extracted from "The New Mexico Decedent Image Database." Based on the phenomenon of height shrinkage with age, we created models for young subjects and applied them to elderly subjects, allowing us to extract the variables., Results: We obtained highly encouraging results with an R 2 of 0.73, a mean absolute error of 3.94, and stable cross-validation. We used a Student's t-test, which demonstrated no significant difference between predicted and actual values (p-value >0.05). We also conducted a learning curve analysis and examined residuals against predicted values. This suggests that the forecasts are accurate, with no significant bias in predictions., Conclusion: This work has allowed us to conclude that it is possible to reliably estimate the age of subjects over 50, taking into account age-related physiological and pathological changes., (Copyright © 2024 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.)

The aim of this study was to assess the fourth rib phase İşcan method on a Tunisian sample. One hundred and eight (108) specimens of sternal ends of fourth ribs of Tunisian male population were collected during forensic autopsies performed in the Department of Forensic Medicine and Pathology of the University Hospital Fattouma Bourguiba of Monastir. Two operators, independently, assigned each rib to İşcan's phase. The data obtained by the two operators were analyzed using SPSS 17.0 and MedCalc. The repeatability and accuracy of İşcan method was tested by kappa coefficient (κ), for each operator. Spearman correlation coefficient (R), between estimated İşcan phase and İşcan phase relative to chronological age, was good with values of 0.758 (CI: 0.664-0.828) and 0.717 (CI: 0.611-0.798) for operator 1 and operator 2, respectively. The perfect agreement, between İşcan phase related to chronological age and İşcan phase estimated by both operators, was found for phases fewer than 5. Intra-observer agreement was highest for both operators with kappa value of 0.73 for operator 1 and 0.71 for operator 2. The estimation of the observers fell within one phase from the ideal and there was minimal disparity. A good accuracy between operator 1 and operator 2 was found (κ=0.747, p=0.057). In order to improve the results, we have pooled ages in five new phases. The correlation, between new age groups and İşcan phase estimated by both operators, was moderate. We conclude that İşcan method can be applicable in Tunisian population with a good correlation for age ranges under 39years., (Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.)