Exploring optimal methods for age-at-death estimation using pulp/tooth area ratios: a South African study.

Age-at-death estimation is pivotal in the identification of unknown human decedents in forensic medicine. The pulp/tooth area ratio (PAR) method, assessing pulp cavity size as a marker of secondary dentine apposition, is widely utilised for adult age estimation. Despite extensive evaluation of this technique, the influence of image type and enamel area inclusion on method accuracy is insufficiently explored. The present study evaluated the PAR method's applicability using maxillary canines from a South African cadaveric sample, examining reliability, sex bias, and accuracy across different image types and enamel area considerations. An observational, cross-sectional study design was followed. Fifty-two adult maxillary canines were radiographed, sectioned, and analysed using stereomicroscopy. Labiolingual and mesiodistal periapical radiographs, alongside labiolingual stereomicroscopic tooth section images, were analysed using ImageJ to calculate PARs. Age estimation linear regression models were developed for each image type, with and without enamel area inclusion. Models were compared for performance and accuracy using best-subsets regression and cross-validation analyses. Results indicated that the PAR method is a reliable, sex-independent technique, providing relatively accurate age-at-death estimates for South African adults. Image type significantly influenced accuracy, with tooth section images exhibiting the best/lowest error values, followed by labiolingual and mesiodistal radiographs, respectively. Exclusion of enamel area consistently enhanced model performance across all image types. This study contributes valuable data to the underexplored field of dental age estimation techniques for South African adults, highlighting optimal approaches when applying the PAR method to maxillary canines. Additionally, it introduces a refined stereomicroscopic technique, augmenting and enhancing existing practices.

CRISPR-Cas technology in forensic investigations: Principles, applications, and ethical considerations.

CRISPR-Cas (Clustered Regularly Interspaced Short Palindromic Repeats and CRISPR-associated proteins) systems are adaptive immune systems originally present in bacteria, where they are essential to protect against external genetic elements, including viruses and plasmids. Taking advantage of this system, CRISPR-Cas-based technologies have emerged as incredible tools for precise genome editing, thus significantly advancing several research fields. Forensic sciences represent a multidisciplinary field that explores scientific methods to investigate and resolve legal issues, particularly criminal investigations and subject identification. Consequently, it plays a critical role in the justice system, providing scientific evidence to support judicial investigations. Although less explored, CRISPR-Cas-based methodologies demonstrate strong potential in the field of forensic sciences due to their high accuracy and sensitivity, including DNA profiling and identification, interpretation of crime scene investigations, detection of food contamination or fraud, and other aspects related to environmental forensics. However, using CRISPR-Cas-based methodologies in human samples raises several ethical issues and concerns regarding the potential misuse of individual genetic information. In this manuscript, we provide an overview of potential applications of CRISPR-Cas-based methodologies in several areas of forensic sciences and discuss the legal implications that challenge their routine implementation in this research field.

Human identification through forensic skeletal analysis: three case reviews.

Establishing a positive identification of human remains found in a forensic setting is often accomplished through DNA, fingerprints, or odontology. However, when these primary identifiers cannot be applied, practitioners can rely on combining points of concordance derived from other identification modalities such as antemortem trauma, pathology, or unique skeletal morphologies to build up a case for identification. In order to conduct these comparisons, forensic anthropologists must be well trained and experienced in human skeletal variation and antemortem trauma to properly evaluate a particular skeletal trait and understand its value with respect to personal identification. In addition to macroscopic analysis of skeletal features and standard radiographic images, recent forensic anthropological efforts of establishing personal identity from the skeleton have employed high-quality clinical imaging technologies. This article presents three forensic anthropological cases in which positive identification was established on the basis of multiple antemortem to postmortem comparison modalities that included skeletal variation, antemortem fracture morphologies, trabecular patterns, dental traits, and implanted surgical devices. These cases use a variety of imaging techniques, such as cranial radiographic images, dental radiographs, computed tomography, photography, and 3D surface scans of the skeletal remains, to achieve personal identification. Key points: The identification of the remains becomes a top priority in forensic investigations.Dental treatment, implanted surgical devices, anatomical variation, and healed skeletal trauma can provide useful features for the antemortem vs. postmortem records comparison.This article discusses three cases in which multiple forms of antemortem and postmortem imaging were used to compare skeletal areas of interest.All cases were carried out by the Mercyhurst University Forensic Anthropology Team.

Applying multidisciplinary methods to forensic casework in North Carolina.

A multidisciplinary approach in the investigation of unidentified decedents employs the use of a variety of scientific approaches. This approach is applied in casework in North Carolina, USA and has led to successful identifications using anthropological analysis and population affinity estimation using 3D-ID, investigative genetic geneaology (IGG), and isotopic analyses. Results from one scientific approach can help to inform the others, providing more information about the decedent, and thus enhancing the investigation. This case report outlines three cases from North Carolina that combine each of these scientific approaches and serve as examples of collaboration in a multidisciplinary approach. Key points: Anthropological analyses including population affinity using 3D-ID can be used in conjunction with isotopic analyses in estimating geographic origin.Results from anthropological and isotopic analyses can help to narrow down or direct IGG.Multidisciplinary collaboration in the investigation of unidentified decedents enhances the investigation.

Challenges of the minimum postmortem interval (PMImin) estimation in forensic scenarios: Is dental histology an alternative?

Postmortem interval (PMI) estimates the time since death. Teeth are perennial elements capable of remaining intact in taphonomic environmental circumstances. The objective was to evaluate the feasibility of estimating the minimum postmortem interval (PMImin) through histological analyses of dental tissues exposed to burial and drowning conditions, simulating common scenarios in forensic practice. A total of n = 99 teeth were analyzed and divided into four groups: control (T0), one month (T1), three months (T2), and six months (T3). The control sample comprised 10 teeth, while T1, T2 e T3 were divided into three different subgroups: controlled environment, buried, and drowned. For each subgroup, ten samples were used. Following exposure to taphonomic conditions, the specimens were processed, and histological sections were obtained. The two-way ANOVA test and the Tukey's post-hoc test were employed for the quantitative analysis of dentin collagen fibrils, revealing statistically significant differences (α = 5 %). This allowed for the estimation of the PMImin at three months by observing pixel counts exceeding 13e+05 in drowned teeth and greater than 8e+05 in buried teeth. Qualitative analysis revealed that the PMImin of drowned teeth was estimated at one month due to the absence of the periodontal ligament (PDL) and at six months due to the absence of predentin and partial degradation of the cementum. For buried teeth, the three-month PMImin was indicated by the absence of PDL and partial cementum degradation. The absence of pulp and remnants of predentin characterized the six-month PMImin. Qualitative and quantitative histological characteristics and parameters are potential to estimate PMImin in forensic scenarios spanning up to six months.

Identification investigations: a collaborative approach to the resolution of long-term unidentified persons cases at the NYC Office of Chief Medical Examiner.

The New York City Office of Chief Medical Examiner (NYC OCME) investigates approximately 9 000-10 000 deaths every year, each of which necessitates a formal identification. Although standard identification protocols resolve the majority of these cases, there are still a substantial number of long-term unidentified persons cases that require a targeted investigation. This process involves not only the comprehensive review of all available postmortem data (e.g. scene findings, personal effects, autopsy findings, toxicology results, forensic anthropology reports, dental findings, fingerprints, forensic biology), but also the collection of antemortem data through focused informant interviews, analyzing casefiles and/or archival records, reviewing public missing person postings (e.g. National Missing and Unidentified Persons System (NamUs)), and collaborating with law enforcement and other agencies. This holistic approach to identification investigations is systematic yet flexible, allowing for the needs of each unidentified person and/or missing person case to be thoroughly assessed and efficiently addressed. These efforts have proven successful at NYC OCME, resulting in over 80 long-term unidentified persons identifications confirmed in the last 7 years, dating as far back as 1969. This paper provides a detailed breakdown of the NYC OCME framework for long-term unidentified persons investigations, citing multiple case studies to underscore how investigators utilize multiple lines of evidence to generate potential leads. Although each jurisdiction faces a unique set of demands and limitations, sharing these investigative strategies and perspectives may benefit practitioners contending with long-term unidentified persons cases and their inherent complexities. Key points: The NYC OCME oversees a large caseload of unidentified persons yet achieves a high rate of case resolution by applying a systematic and holistic investigation that involves a comprehensive review of postmortem data and the collection of antemortem data specific to a forensic identification.Analyzing multiple lines of postmortem biological and contextual evidence allows practitioners to hypothesize possible socioeconomic, cultural, and religious social identities that can be used to generate identification leads and inform comparisons to missing persons.Gathering as much detailed, accurate, and comprehensive antemortem data for a missing person is equally important when performing an identification comparison to a long-term unidentified persons (UP) and can better inform archival morgue records searches.

Artificial Intelligence in Forensic Sciences: A Systematic Review of Past and Current Applications and Future Perspectives.

The aim of this study is to review the available knowledge concerning the use of artificial Intelligence (AI) in general in different areas of Forensic Sciences from human identification to postmortem interval estimation and the estimation of different causes of death. This paper aims to emphasize the different uses of AI, especially in Forensic Medicine, and elucidate its technical part. This will be achieved through an explanation of different technologies that have been so far employed and through new ideas that may contribute as a first step to the adoption of new practices and to the development of new technologies. A systematic literature search was performed in accordance with the Preferred Reported Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines in the PubMed Database and Cochrane Central Library. Neither time nor regional constrictions were adopted, and all the included papers were written in English. Terms used were MACHINE AND LEARNING AND FORENSIC AND PATHOLOGY and ARTIFICIAL AND INTELIGENCE AND FORENSIC AND PATHOLOGY. Quality control was performed using the Joanna Briggs Institute critical appraisal tools. A search of 224 articles was performed. Seven more articles were extracted from the references of the initial selection. After excluding all non-relevant articles, the remaining 45 articles were thoroughly reviewed through the whole text. A final number of 33 papers were identified as relevant to the subject, in accordance with the criteria previously established. It must be clear that AI is not meant to replace forensic experts but to assist them in their everyday work life.

Spectroscopic techniques and chemometrics for ink analysis: Document analysis application.

This study represents a methodology to determine the falsified documents via a combined method of spectroscopic techniques and chemometrics. The techniques of UV-Vis and FTIR-ATR spectroscopies and principal component analysis methods have been applied to black, blue, and red ballpoint pens available in the Türkiye market. The analysis results of the applied spectroscopic techniques were found to be consistent with each other for the examined eleven ink samples from three different brands, and it was observed that FTIR-ATR spectroscopy had higher discriminative power. A dried sample preparation technique developed for small amounts of samples for FTIR-ATR measurements and the increased the sensitivity of FTIR-ATR technique was associated with this sample preparation method. Statistical techniques showed that the UV-Vis technique proves useful outcomes in distinguishing inks according to their colors, whereas the FTIR-ATR technique is valuable for identifying ink brands. Additional analysis of the sub-brand of black inks and falsified old-dated check sample analysis validated that our methodology has the potential to classify and identify ballpoint inks in forensic applications. Due to the limited sample quantity available for analysis in real samples, only FTIR-ATR analysis was possible, and the results demonstrated that document forgery could be detected from small parts of samples in the document. When we look at the overall outcome of this study, a comprehensive methodology enriched with statistical calculations has been proposed that can be applied even in a laboratory with limited resources, having only UV-Vis and FTIR-ATR capabilities.

A case study on the endeavour to identify the "unidentifiable" fallen soldiers of WWI on the Italian front.

If there is a category of war victims for whom the identification process has been and still remains an extremely challenging issue, it is the soldiers of World War One. There are various reasons for this, including unreliable identity tags, the unprecedented number of casualties, and the level of destruction caused by the massive use of "new" weapons. In Italy, this phenomenon was so severe and well-known that a monument was erected in Rome specifically in memory of those unknown soldiers ("Tomba del Milite Ignoto"). However, modern techniques in forensic archaeology and anthropology can facilitate identification even in this extreme context. In the casework described here, the presence of human remains was reported to the judicial authorities, which were subsequently located and excavated in a remote region of the Italian Alps using a range of techniques, including drone imagery, GPR, and micromorphological surveying. During the archaeological excavation of the human remains, a World War One zinc identification tag in very poor condition was found adjacent to the body. The biological profile was estimated (male, 20-30 years old, 166 cm±3.27 cm), and a trauma survey was performed. Thanks to the restoration of the ID tag, parts of the name and enrolment number were found and cross-referenced with the anthropological data of the subject, matching the information in the available military records. The victim had no siblings or offspring, making it impossible to identify descendants. However, the operation led to a contextual/presumptive identification of the soldier and the discovery of his story. He was a native of Tuscany, who died during the "Punitive Expedition" (1916) and was buried, probably by his comrades, in a small flat area hidden from enemy lines. In investigations like this, the involvement of local communities, whether groups or individuals, is crucial. In this case report, it will be shown how multidisciplinary approaches and collective actions can play a pivotal role in resolving highly intricate scenarios, such as those pertaining to armed conflicts.

Identification of blood at simulated crime scenes using silver nanoparticles with SERS.

The analysis of substances and samples obtained from a crime scene is very important in solving forensic cases. To determine the variables involved in a crime and to expedite the investigation process, the rapid analysis of body fluids in small quantities and within environments containing diverse components is particularly necessary. For this reason, it is of great importance to analyze biological fluids with rapid, noncontaminating, nondestructive, low-cost, and accurate techniques. In recent years, with advancements in laser technology, spectroscopic methods have been introduced as analytical techniques in forensic medicine and chemical studies. This study focuses on surface-enhanced Raman spectroscopy (SERS) to demonstrate the detection of blood samples in simulated crime scenes. To minimize the background signal from fluorescent biomolecules in blood, dilution was performed with two different components and Raman analysis was performed for four different concentrations of blood. In general, a decrease in noise in the spectra was observed as the blood was diluted. Crime scenes consisting of pure blood, blood diluted with ethanol and distilled water (1:2, 1:4, and 1:8), a blood-mineral water mixture, a blood-cherry juice mixture, and silver nanoparticle-added mixtures were simulated, and their spectra were examined. Chemometric analyses of the data were performed. Despite high noise and low peak intensities, blood-identifying signals were detected when examining different blood concentrations. It was observed that silver nanoparticles provided high enhancement of blood peaks thanks to their strong plasmonic properties.

Still waters run deep: a unique case of mummification under extreme conditions.

In rural Crete, Greece, a mummified body was discovered inside a screw-top plastic barrel next to a dry riverbed. Local authorities conducted a field investigation along with a forensic pathologist, and the body was transferred inside the barrel to the Forensic Medicine Unit of the University of Crete for further investigation. Forensic examination included radiographs taken using a portable X-ray machine in situ followed by extraction of the remains, a full-body postmortem computed tomography scan, autopsy, DNA extraction, tissue and biofluid sampling, and histological and toxicological analyses. Two butane camping gases were recovered from inside the barrel. The remains were determined to belong to a middle-aged adult male. The postmortem interval was estimated to be over 4 months. DNA comparison revealed that the body belonged to a 58-year-old man who was reported missing 28 months prior to discovery. Examinations showed no evidence of skeletal or other trauma, and death was attributed to asphyxia due to oxygen deprivation. Careful examination of the barrel, which bore several peculiar modifications, in conjunction with contextual information pertaining to the deceased's personal life, led to successful case resolution. Key points: Advanced decomposition and taphonomic alterations present challenges for forensic practitioners.A case of a set of mummified remains discovered inside a plastic screw-top barrel is reported.A multidisciplinary approach, including examination of the barrel and contextual information regarding the deceased, led to case resolution.

The artificial intelligence in autopsy and crime scene analysis.

Background: In the evolving field of forensic medicine, artificial intelligence (AI) technologies may revolutionize traditional autopsy practices by enhancing the precision and efficiency of postmortem examinations. Methods: A review of the literature was carried out on the Pub-med and Scopus search engines by inserting the keywords "artificial intelligence" AND "forensic" AND ("autopsy" OR "crime scene management" OR "forensic odontology" OR "post mortem interval" OR "forensic anthropology" OR "forensic sciences"). The works that analyzed the applications of artificial intelligence in the forensic and autopsy field were analyzed. Conclusion: The results showed the application of different forms of artificial intelligence such as machine learning, deep learning, robotics, artificial neural networks. Various applications are therefore possible in the autopsy field including forensic identification, analysis of radiological data through Virtopsy, estimation of the weapon used through analysis of firearm damage with ballistics, estimation of the Post-Mortem Interval (PMI), forensic toxicology. AI's potential to aid in the precise identification of causes of death, estimation of postmortem intervals. With forensic pathologists facing the constant challenge of making accurate diagnoses under pressure, AI applications can offer much-needed support by reducing subjective judgment and the inherent human error due to fatigue. Therefore, the integration of AI into autopsies, while promising in terms of efficiency and accuracy, demands a careful balance between technological advancement and ethical responsibility to ensure trust and integrity in forensic practices.

Estimation of human age using machine learning on panoramic radiographs for Brazilian patients.

This paper addresses a relevant problem in Forensic Sciences by integrating radiological techniques with advanced machine learning methodologies to create a non-invasive, efficient, and less examiner-dependent approach to age estimation. Our study includes a new dataset of 12,827 dental panoramic X-ray images representing the Brazilian population, covering an age range from 2.25 to 96.50 years. To analyze these exams, we employed a model adapted from InceptionV4, enhanced with data augmentation techniques. The proposed approach achieved robust and reliable results, with a Test Mean Absolute Error of 3.1 years and an R-squared value of 95.5%. Professional radiologists have validated that our model focuses on critical features for age assessment used in odontology, such as pulp chamber dimensions and stages of permanent teeth calcification. Importantly, the model also relies on anatomical information from the mandible, maxillary sinus, and vertebrae, which enables it to perform well even in edentulous cases. This study demonstrates the significant potential of machine learning to revolutionize age estimation in Forensic Science, offering a more accurate, efficient, and universally applicable solution.

Potential Role of mRNA in Estimating Postmortem Interval: A Systematic Review.

Although the postmortem interval estimation still represents one of the main goals of forensic medicine, there are still several limitations that weigh on the methods most used for its determination: for this reason, even today, precisely estimating the postmortem interval remains one of the most important challenges in the forensic pathology field. To try to overcome these limitations, in recent years, numerous studies have been conducted on the potential use of the mRNA degradation time for reaching a more precise post mortem interval (PMI) estimation. An evidence-based systematic review of the literature has been conducted to evaluate the state of the art of the knowledge focusing on the potential correlation between mRNA degradation and PMI estimation. The research has been performed using the electronic databases PubMed and Scopus. The analysis conducted made it possible to confirm the potential applicability of mRNA for reaching a more precise PMI estimation. The analysis of the results highlighted the usefulness of some mRNAs, such as ß-actin and glyceraldehyde-3-phosphate dehydrogenase (GAPDH) mRNA, especially in short time frames, within a few hours or days of death. The matrices on which these analyses were conducted were also analyzed, resulting in less exposure to the external environment, including the heart, brain, and dental pulp. The major limitations were also reported, including the short time intervals analyzed in most of the articles, the lack of mathematical models, and the failure to report the error rate between the mRNA degradation time and PMI. Given the still small number of published articles, the lack of globally recognized standardized methods, and the numerous techniques used to evaluate the mRNA degradation times, numerous and larger studies are still necessary to reach more solid and shared evidence.

The study of the microbiome in forensic investigations on pediatric deaths.

Background: Sudden infant death syndrome (SIDS) is a tragic and devastating condition whose causes remain largely unknown. Recent studies have shown that the composition of a child's gut flora can play a significant role in the development of SIDS. Methods: This work aims to research those factors that influence the composition of the intestinal flora, the role they have in the development of SIDS and the new strategies for preventing SIDS showing a new interpretation through a detailed review of the literature. The gut in physiological conditions is mainly composed of Bacteroidetes, Firmicutes, Actinobacteria, and Proteobacteria, but when there is the presence of dysbiotic or different microbial communities, the onset of the disease is more likely as an altered microbial community can lead to an interruption of the gut-brain axis and an increased risk of SIDS. Conclusions: All this implies that the composition of the microbiome can be modified to reduce the risk of sudden death in newborns. The results of the literature provide valuable information on the potential role of the intestinal microbiome in SIDS even if not all mechanisms are yet clear, especially in the mechanisms of death. Therefore, it is necessary in cases of SIDS when carrying out an autopsy to also investigate this area; to this end, we suggest a questionnaire to be administered to family members to understand the eating habits of the newborn and the family and integrate with microbiological investigations to explore every possible hypothesis.

The experimental reconstruction of a complicated case of work accident due to a scraper.

Background: Workplace safety is a global public health issue. Re-constructing an accident can prove extremely complicated, especially when the event occurs without direct witnesses or when the scene is altered. In these cases, it is essential to adopt proper investigation pro-tocols in order to ensure the correct reconstruction of the dynamics. Case report: A man was found unconscious on the ground, having fallen from a height of approximately 2 meters, where there was a cabin in which a conveyor belt of raw materials for the production of cement ran. At the end of the path of this belt a scraper was found. An autopsy was carried out and the scraper present at the scene was examined and compared with the injuries on the victim. After the autopsy, the investigators returned to the scene and collected the traces found in the cabin. At the end of collecting the traces, the investigators simulated the dynamics of the event by turning on the conveyor belt and placing a scraper of the same dimensions and characteristics as the one found at the scene inside the cabin. Conclusion: The autopsy showed a maxillofacial trauma with multiple bruises on the face and a serious fracture of the epistropheus tooth. This trauma was therefore incompatible with a simple fall from 2 meters. The investigators created an experimental model that demonstrated a very high energy rebound of the tape when placed in contact with the scraper. This reconstruction made it possible to carry out a single report with the data collected by the medical examiner and the investigators, which was effective and exhaustive, allowing the Authority to be provided with the evidence to continue the investigations about the responsibilities of the worker and the employer.

Accuracy of geometric morphometrics for age estimation using frontal face photographs of children and adolescents: A promising method for forensic practice.

Age estimation is crucial in legal and humanitarian contexts. Forensic professionals may use various procedures to estimate age, including dental analysis, bone density tests, evaluation of physical characteristics including facial bone structure and development, and image-based methods. Although images are often the only material available, visual observation of photographic material is an imprecise method in age estimation, which can compromise judicial decision-making. Analyzing 4000 photographs from the Brazilian Federal Police database, representing four age groups (6, 10, 14, and 18 years), the study employed automated analysis by marking 28 photogrammetric points. Data were used to establish facial patterns by age and sex using the facial geometric morphometrics method. Performance was assessed through a Multinomial Logistic Regression model, evaluating accuracy, sensitivity, and specificity across the categorical age groups. Analyses were conducted using R software, with a 5 % significance level. The study found that facial geometric morphometrics achieved an overall accuracy of 69.3 % in age discrimination, with higher accuracy in males (74.7 %) compared to females (65.8 %) (p < 0.001). The method excelled at predicting the age of 6-year-olds with 87.3 % sensitivity and 95.6 % specificity but had lower performance at 14 years. It showed greater accuracy in distinguishing age groups with larger age gaps, achieving up to 99.5 % accuracy between certain groups, and was particularly effective in differentiating ages of 6 and 10 years in females and 10, 14, and 18 years in males. The facial geometric morphometrics emerges as a promising approach for age estimation among children and adolescents in forensic settings.

The impact of climate change on the crime scene and forensic sciences.

Background: Climate change causes great impact on ambient temperatures. In forensic pathology, temperature has always been an important variable to determine numerous thanatodiagnostic and thanatochronological parameters, as crucial elements to make scientifically valid forensic conclusions. The aim of this work is to describe the impact that climate change is having on the forensic science and crime scene analysis. Materials and methods: A literature review was carried out on the search engines Pubmed, Scopus and Google Scholar. The keywords "climate change" AND "forensic" were used. Conclusion: Climate change is having a significant impact on forensic science in several areas. Among these it is necessary to consider: 1) global warming and crime scenes: high temperature of the planet causes frequent extreme meteorological events in multiple periods of the year; 2) Relationship between climate and PMI (Post Mortem Interval): Temperature influences the rapidity of putrefaction; 3) Relationship between climate and fauna: global warming is influencing the geographical distribution of animal species, with real migrations of species. Fauna has a decisive impact in the forensic field (as in the case of entomology) creating new models of animal-cadaver interaction; 4) Relationship between climate and forensic botany: Climate change influences the flowering and fruiting times of plants, impacting knowledge on botany used in the forensic field. It is essential to adopt prevention measures to address the emerging challenges.

The Role of Molecular Investigations in Estimating the Time since Deposition (TSD) of Bloodstains: A Systematic Review of the Literature.

At many crime scenes, investigators are able to trace and find traces of blood. For many years, it was believed that such traces could only be subjected to genetic investigations, such as those aimed at comparing DNA profiling with a suspect to verify his identity, and that it was therefore not possible to backdate the traces. In recent years, various works have used experimental models to investigate the possibility of identifying markers and methodologies for estimating the time since deposition (TSD) of bloodstains. Despite the results, these methods are still not part of standard procedures, and there is no univocal analysis methodology. In this work we carried out a systematic literature review of all the papers published in the last ten years on this topic, comparing the experimental models created. This review demonstrates the potential that different molecular approaches, such as transcriptomics, metabolomics, proteomics, and spectrometry, can have in the analysis of TSD, with notable sensitivity and specificity. This paper also analyzes the intrinsic and extrinsic limits of these models and emphasizes the need to continue research work on this topic, considering the importance that this parameter can assume in forensic investigations against a suspect.

The Fascinating World of Forensic Sciences: Multidisciplinary Approaches in Human Remains and the Role of Forensic Pathology in Calabrian Experience.

Forensic sciences play a vital role in the criminal justice system by providing insights into the identity of victims and suspects, causes of death, and other crucial pieces of evidence. In this research paper, we will explore the utility of forensic sciences, its techniques and applications, and the critical role of the forensic pathologist in analyzing human remains. For this purpose, we have analyzed a series of human remains and cadavers found in a state of decomposition, illustrating the medico-legal investigations carried out. Specifically, 50 cases from Calabrian experience are reported from 2003 to 2023 in different contexts of both judicial and archaeological interest and discovered by chance. In any case, anthropological, odontological, genetic, entomological, and forensic radiological investigations were carried out with the supervision of the forensic pathologist in all cases. The varied composition of the sample made it possible to understand the methods and the various specialists involved in such diversified cases. Furthermore, a review of the scientific literature on the topic of human remains was carried out. In particular, by delving into these topics, we aim to provide a comprehensive understanding of forensic anthropology and forensic sciences and their significance in the criminal justice system.