Artificial intelligence-based approaches for the detection and prioritization of genomic mutations in congenital surgical diseases

Q Lin, PKH Tam, CSM Tang - Frontiers in Pediatrics, 2023 - frontiersin.org
Genetic mutations are critical factors leading to congenital surgical diseases and can be
identified through genomic analysis. Early and accurate identification of genetic mutations …

Good quality practices for artificial intelligence in genetics

T Ménard - European Journal of Human Genetics, 2022 - nature.com
Background “Artificial Intelligence”(AI) based systems developed for healthcare continue to
make headlines, with new studies released on a weekly basis [1]. In genetics, a number of AI …

Artificial intelligence enables comprehensive genome interpretation and nomination of candidate diagnoses for rare genetic diseases

FM De La Vega, S Chowdhury, B Moore, E Frise… - Genome Medicine, 2021 - Springer
Background Clinical interpretation of genetic variants in the context of the patient's
phenotype is becoming the largest component of cost and time expenditure for genome …

Computational and experimental methods for classifying variants of unknown clinical significance

M Spielmann, M Kircher - Molecular Case Studies, 2022 - molecularcasestudies.cshlp.org
The increase in sequencing capacity, reduction in costs, and national and international
coordinated efforts have led to the widespread introduction of next-generation sequencing …

Open-Source Artificial Intelligence System Supports Diagnosis of Mendelian Diseases in Acutely Ill Infants

J Reiley, P Botas, CE Miller, J Zhao, S Malone Jenkins… - Children, 2023 - mdpi.com
Mendelian disorders are prevalent in neonatal and pediatric intensive care units and are a
leading cause of morbidity and mortality in these settings. Current diagnostic pipelines that …

Reanalysis and optimisation of bioinformatic pipelines is critical for mutation detection

MJ Cowley, YC Liu, KL Oliver, G Carvill… - Human …, 2019 - Wiley Online Library
Rapid advances in genomic technologies have facilitated the identification pathogenic
variants causing human disease. We report siblings with developmental and epileptic …

Explicable prioritization of genetic variants by integration of rule-based and machine learning algorithms for diagnosis of rare Mendelian disorders

HH Kim, DW Kim, J Woo, K Lee - Human Genomics, 2024 - Springer
Background In the process of finding the causative variant of rare diseases, accurate
assessment and prioritization of genetic variants is essential. Previous variant prioritization …

Artificial intelligence in epigenetic studies: shedding light on rare diseases

S Brasil, CJ Neves, T Rijoff, M Falcão… - Frontiers in Molecular …, 2021 - frontiersin.org
More than 7,000 rare diseases (RDs) exist worldwide, affecting approximately 350 million
people, out of which only 5% have treatment. The development of novel genome …

Artificial intelligence in clinical and genomic diagnostics

R Dias, A Torkamani - Genome medicine, 2019 - Springer
Artificial intelligence (AI) is the development of computer systems that are able to perform
tasks that normally require human intelligence. Advances in AI software and hardware …

Artificial intelligence for precision medicine in neurodevelopmental disorders

M Uddin, Y Wang, M Woodbury-Smith - NPJ digital medicine, 2019 - nature.com
The ambition of precision medicine is to design and optimize the pathway for diagnosis,
therapeutic intervention, and prognosis by using large multidimensional biological datasets …