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Recent Research Several studies have examined the relationship between BMI and cooling rates, showing that obese individuals cool more slowly than individuals of average weight. Although other variables, such as attire and environmental exposure, are essential, regression analysis indicates a moderate relationship between BMI and cooling rate. In forensic pathology, applying machine learning models and predictive algorithms to improve PMI estimates based on various criteria is becoming more popular.[8] Furthermore, refrigerated bodies challenge conventional PMI estimate techniques by deviating from typical cooling curves. The results from different studies highlight that although algor mortis might offer broad temporal periods, it should not be used as the only indicator of PMI. Future research should look into combining entomological data with biochemical markers to improve PMI's dependability. Conclusion Although algor mortis is still a fundamental idea in forensic science, it is difficult to put it into practice when estimating PMI. Because of its intrinsic unpredictability, it may provide initial assistance in forensic casework, but for a more exact calculation of time since death, additional approaches such as livor mortis, rigor mortis, and forensic entomology are required. PMI calculations could be improved with the ongoing development of forensic technology, such as artificial intelligence–based predictive modeling and thermal imaging. To improve the precision of PMI calculations, future studies should concentrate on enhancing predictive models by integrating machine learning methods and larger datasets.