A guide for the diagnosis of rare and undiagnosed disease: beyond the exome

S Marwaha, JW Knowles, EA Ashley - Genome medicine, 2022 - Springer
Rare diseases affect 30 million people in the USA and more than 300–400 million
worldwide, often causing chronic illness, disability, and premature death. Traditional …

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 …

[HTML][HTML] From molecules to genomic variations: Accelerating genome analysis via intelligent algorithms and architectures

M Alser, J Lindegger, C Firtina, N Almadhoun… - Computational and …, 2022 - Elsevier
We now need more than ever to make genome analysis more intelligent. We need to read,
analyze, and interpret our genomes not only quickly, but also accurately and efficiently …

Ontologies, knowledge representation, and machine learning for translational research: recent contributions

PN Robinson, MA Haendel - Yearbook of medical informatics, 2020 - thieme-connect.com
Objectives: To select, present, and summarize the most relevant papers published in 2018
and 2019 in the field of Ontologies and Knowledge Representation, with a particular focus …

Exome and whole genome sequencing in the neonatal intensive care unit

M Muriello - Clinics in Perinatology, 2022 - perinatology.theclinics.com
There has in the past been controversy about the role of genetic testing in the inpatient
setting that has led to our current situation with usage of advanced sequencing in the …

Role of next generation sequencing in diagnosis and management of critically ill children with suspected monogenic disorder

S Bhatia, S Pal, S Kulshrestha, D Gupta… - European Journal of …, 2024 - nature.com
Next generation sequencing based diagnosis has emerged as a promising tool for
evaluating critically ill neonates and children. However, there is limited data on its utility in …

Detection of point mutations and chromosomal translocations based on massive parallel sequencing of enriched 3C libraries

EA Mozheiko, VS Fishman - Russian Journal of Genetics, 2019 - Springer
The diagnosis and treatment of patients with hereditary diseases require the creation of
efficient methods for the study of individual genomes. The existing approaches either are …

Automated prioritization of sick newborns for whole genome sequencing using clinical natural language processing and machine learning

B Peterson, EJ Hernandez, C Hobbs… - Genome Medicine, 2023 - Springer
Background Rapidly and efficiently identifying critically ill infants for whole genome
sequencing (WGS) is a costly and challenging task currently performed by scarce, highly …

The Landscape of Clinical Whole Genome Sequencing and the Emergence of Rapid Genetic Diagnosis in Critical Care

JE Gorzynski, S Goenka… - Advances in …, 2023 - advancesinmolecularpathology.com
Incorporating comprehensive genetic testing such as whole genome sequencing (WGS) into
the traditional diagnostic process allows clinical teams to understand a patient's disease at …

RUBICON: a framework for designing efficient deep learning-based genomic basecallers

G Singh, M Alser, K Denolf, C Firtina, A Khodamoradi… - Genome Biology, 2024 - Springer
Nanopore sequencing generates noisy electrical signals that need to be converted into a
standard string of DNA nucleotide bases using a computational step called basecalling. The …