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 …

A review of deep learning applications in human genomics using next-generation sequencing data

WS Alharbi, M Rashid - Human Genomics, 2022 - Springer
Genomics is advancing towards data-driven science. Through the advent of high-throughput
data generating technologies in human genomics, we are overwhelmed with the heap of …

PhenoScore quantifies phenotypic variation for rare genetic diseases by combining facial analysis with other clinical features using a machine-learning framework

AJM Dingemans, M Hinne, KMG Truijen, L Goltstein… - Nature Genetics, 2023 - nature.com
Several molecular and phenotypic algorithms exist that establish genotype–phenotype
correlations, including facial recognition tools. However, no unified framework that …

Artificial intelligence (AI) in rare diseases: is the future brighter?

S Brasil, C Pascoal, R Francisco, V dos Reis Ferreira… - Genes, 2019 - mdpi.com
The amount of data collected and managed in (bio) medicine is ever-increasing. Thus, there
is a need to rapidly and efficiently collect, analyze, and characterize all this information …

Knowledge-based approaches to drug discovery for rare diseases

VM Alves, D Korn, V Pervitsky, A Thieme… - Drug Discovery …, 2022 - Elsevier
The conventional drug discovery pipeline has proven to be unsustainable for rare diseases.
Herein, we discuss recent advances in biomedical knowledge mining applied to discovering …

[HTML][HTML] Look-alike humans identified by facial recognition algorithms show genetic similarities

RS Joshi, M Rigau, CA García-Prieto, MC de Moura… - Cell Reports, 2022 - cell.com
The human face is one of the most visible features of our unique identity as individuals.
Interestingly, monozygotic twins share almost identical facial traits and the same DNA …

Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases

X Yuan, J Wang, B Dai, Y Sun, K Zhang… - Briefings in …, 2022 - academic.oup.com
It's challenging work to identify disease-causing genes from the next-generation sequencing
(NGS) data of patients with Mendelian disorders. To improve this situation, researchers have …

[HTML][HTML] Efficiency of computer-aided facial phenotyping (DeepGestalt) in individuals with and without a genetic syndrome: diagnostic accuracy study

JT Pantel, N Hajjir, M Danyel, J Elsner… - Journal of medical …, 2020 - jmir.org
Background Collectively, an estimated 5% of the population have a genetic disease. Many
of them feature characteristics that can be detected by facial phenotyping. Face2Gene …

KBG syndrome: videoconferencing and use of artificial intelligence driven facial phenotyping in 25 new patients

L Guo, J Park, E Yi, E Marchi, TC Hsieh… - European Journal of …, 2022 - nature.com
Abstract Genetic variants in Ankyrin Repeat Domain 11 (ANKRD11) and deletions in 16q24.
3 are known to cause KBG syndrome, a rare syndrome associated with craniofacial …

The case for open science: rare diseases

YR Rubinstein, PN Robinson, WA Gahl, P Avillach… - JAMIA …, 2020 - academic.oup.com
Abstract The premise of Open Science is that research and medical management will
progress faster if data and knowledge are openly shared. The value of Open Science is …