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Purpose: Emerging therapeutic strategies for Kabuki syndrome (KS) make early diagnosis critical. Fingerprint analysis as a diagnostic aid for KS diagnosis could facilitate early diagnosis and expand the current patient base for clinical trials and natural history studies.

Method: Fingerprints of 74 individuals with KS, 1 individual with a KS-like phenotype, and 108 controls were collected through a mobile app.

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Developments in science and technology lead to an increasing use of scientific evidence in litigation. Interdisciplinary research can improve current procedures and introduce new ones for the disclosure and examination of evidence. The dactyloscopic trace is used for personal identification by matching minutiae (the minimum required may vary by country) or for extracting DNA material from the trace under investigation.

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The fast and reliable detection, segmentation and visualization of latent fingerprints are the main tasks in forensics. Currently, conventional fingerprints are searched for, recorded and subsequently analyzed traditional destructive physical and chemical methods. For firmly defined crime objects and undefined crime scenes, the forensic process is very time-consuming and can take several hours for a single fingerprint.

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Impact of illustrated backgrounds on the automatic assessment of fingermark quality.

J Forensic Sci

January 2025

École Des Sciences Criminelles (School of Criminal Justice), Faculté de Droit, Des Sciences Criminelles et d'Administration Publique, University of Lausanne, Lausanne, Switzerland.

In the fingermark detection field, background illustrations may negatively impact the visibility of the marks in presence. They can indeed locally reduce the contrast or mask ridge details. When conducting a research project, the choice for plain or illustrated substrates is mostly driven by the research objectives as well as the development level of the investigated technique (e.

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Objective: To determine the living regions of individuals based on amino acids in fingermark residues and to establish a rapid and accurate regional classification method using machine learning.

Methods: A total of 71 fingermark donors from six different provinces in various regions of China were selected. The content of 18 amino acids in their fingermarks was detected using UHPLC-QQQ-MS/MS.

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