Generally, sex and age estimation is performed by means of numerical/tabular data obtained from the manual measurement of the bones of interest or by visual observation, description, and classification of morphological features into development or degenerative phases. The former is time-consuming and error-prone while the latter is highly subjective and requires extensive prior experience from […]
Forensic identification often involves examining an image and comparing a candidate object against the one shown in the image. Matching the pose of the two objects and overlaying them allows for highlighting possible differences, leading to a more effective comparison. The term “superimposition” refers to the task of laying a real object or a 3D […]
Imaging techniques like radiography, CT scanning, and MRI are among the most powerful tools in forensic science. Tzipi Kahana and Oscar Ibáñez talk about the present and the future of comparative radiography.
This event provides an introduction to likelihood ratio and its uses in forensic science. We will also explain how LR can be used in the context of Craniofacial Superimposition. The event takes place on Thursday, February 17th and is being presented by Dr. Andrea Valsecchi and Dr. Oscar Ibáñez.
Forensic Odontology is used for the identification of human remains, the comparison of bite marks, or for age estimation. In this webinar, we will explore the basic concepts of odontology, human identification as well as the main protocols for forensic practice and their application. This event takes place on December 16th, 4 PM Central European Time
Skeleton-based identification is still largely performed manually and only with the help of very basic tools. At Panacea Cooperative Research we have developed an AI-based software solution explicitly designed for the needs of forensic specialists.
Dr. Serrulla, president of the Spanish Association of Forensic Anthropology and Odontology (AEAOF), invited our CEO, Dr. Oscar Ibáñez, to coordinate a monograph to understand the present and future impact of Artificial Intelligence (AI) in Forensic Anthropology (AF) for the journal.