AI Medical Compendium Journal:
Forensic science international. Genetics

Showing 1 to 10 of 25 articles

Explainable artificial intelligence in forensic DNA analysis: Alleles identification in challenging electropherograms using supervised machine learning methods.

Forensic science international. Genetics Apr 24, 2025
Challenging samples in capillary electrophoresis (CE)-based short tandem repeat (STR) analysis often produce artefactual signals that cannot be completely filtered out by expert electropherogram (EPG) reading systems, complicating allele interpretati...
Machine Learning Algorithms ROC Curve Humans Artificial Intelligence Microsatellite Repeats Forensic Genetics DNA Fingerprinting Supervised Machine Learning Alleles Electrophoresis, Capillary
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Ethical and security challenges in AI for forensic genetics: From bias to adversarial attacks.

Forensic science international. Genetics Jan 27, 2025
Forensic scientists play a crucial role in assigning probabilities to evidence based on competing hypotheses, which is fundamental in legal contexts where propositions are presented usually by prosecution and defense. The likelihood ratio (LR) is a w...
Humans Artificial Intelligence Machine Learning Bias Pedigree Forensic Genetics Likelihood Functions
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XGBoost as a reliable machine learning tool for predicting ancestry using autosomal STR profiles - Proof of method.

Forensic science international. Genetics Nov 29, 2024
The aim of this study was to test the validity of a predictive model of ancestry affiliation based on Short Tandem Repeat (STR) profiles. Frequencies of 29 genetic markers from the Promega website for four distinct population groups (African American...
Genetics, Population DNA Fingerprinting Machine Learning Support Vector Machine Decision Trees Racial Groups Boosting Machine Learning Algorithms Microsatellite Repeats Humans
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A multi-class support vector machine classification model based on 14 microRNAs for forensic body fluid identification.

Forensic science international. Genetics Nov 21, 2024
MicroRNAs (miRNAs) are promising biomarkers for forensic body fluid identification owing to their small size, stability against degradation, and differential expression patterns. However, the expression of most body fluid-miRNAs is relative (differen...
Female Adult Male Humans MicroRNAs Semen Genetic Markers Gene Expression Profiling Real-Time Polymerase Chain Reaction Support Vector Machine Menstruation Saliva Cervix Mucus Body Fluids Pericardial Fluid Forensic Genetics
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An initial exploration of machine learning for establishing associations between genetic markers and THC levels in Cannabis sativa samples.

Forensic science international. Genetics Aug 9, 2024
Cannabis sativa, a globally commercialized plant used for medicinal, food, fiber production, and recreation, necessitates effective identification to distinguish legal and illegal varieties in forensic contexts. This research utilizes multivariate st...
Dronabinol Microsatellite Repeats Humans Genetic Markers Machine Learning Gas Chromatography-Mass Spectrometry Genotype Cannabis Plant Leaves Least-Squares Analysis Italy
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Development of a two-layer machine learning model for the forensic application of legal and illegal poppy classification based on sequence data.

Forensic science international. Genetics May 22, 2024
Poppies are beneficial plants with a variety of applications, including medicinal, edible, ornamental, and industrial purposes. Some Papaver species are forensically significant plants because they contain opium, a narcotic substance. Internationally...
Machine Learning DNA, Plant Forensic Genetics Papaver Sequence Analysis, DNA Genetic Markers DNA Barcoding, Taxonomic
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Explainable artificial intelligence in forensics: Realistic explanations for number of contributor predictions of DNA profiles.

Forensic science international. Genetics Nov 21, 2021
Machine learning obtains good accuracy in determining the number of contributors (NOC) in short tandem repeat (STR) mixture DNA profiles. However, the models used so far are not understandable to users as they only output a prediction without any rea...
Humans Artificial Intelligence Machine Learning DNA Forensic Medicine
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Using a multi-head, convolutional neural network with data augmentation to improve electropherogram classification performance.

Forensic science international. Genetics Oct 13, 2021
DNA profiles are generated in forensic biology laboratories around the world. It is possible that these profiles are assessed by two independent people in order for the profiles to be 'read'. Recent work has been carried out to develop a neural netwo...
Australia DNA Laboratories Humans Neural Networks, Computer Software
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Evaluation of supervised machine-learning methods for predicting appearance traits from DNA.

Forensic science international. Genetics Mar 23, 2021
The prediction of human externally visible characteristics (EVCs) based solely on DNA information has become an established approach in forensic and anthropological genetics in recent years. While for a large set of EVCs, predictive models have alrea...
Polymorphism, Single Nucleotide Machine Learning Logistic Models Forensic Genetics DNA Humans Algorithms Hair Color Eye Color Phenotype Genetic Markers Datasets as Topic Skin Pigmentation
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Predicting haplogroups using a versatile machine learning program (PredYMaLe) on a new mutationally balanced 32 Y-STR multiplex (CombYplex): Unlocking the full potential of the human STR mutation rate spectrum to estimate forensic parameters.

Forensic science international. Genetics Jun 29, 2020
We developed a new mutationally well-balanced 32 Y-STR multiplex (CombYplex) together with a machine learning (ML) program PredYMaLe to assess the impact of STR mutability on haplogourp prediction, while respecting forensic community criteria (high D...
Mutation Rate Chromosomes, Human, Y Microsatellite Repeats Multiplex Polymerase Chain Reaction Forensic Genetics Polymorphism, Single Nucleotide DNA Fingerprinting Haplotypes Humans Machine Learning Male
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