Artificial intelligence in clinical and genomic diagnostics
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 …
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 …
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
Several molecular and phenotypic algorithms exist that establish genotype–phenotype
correlations, including facial recognition tools. However, no unified framework that …
correlations, including facial recognition tools. However, no unified framework that …
Next-generation phenoty** integrated in a national framework for patients with ultrarare disorders improves genetic diagnostics and yields new molecular findings
A Schmidt, M Danyel, K Grundmann, T Brunet… - Nature …, 2024 - nature.com
Individuals with ultrarare disorders pose a structural challenge for healthcare systems since
expert clinical knowledge is required to establish diagnoses. In TRANSLATE NAMSE, a 3 …
expert clinical knowledge is required to establish diagnoses. In TRANSLATE NAMSE, a 3 …
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 …
is a need to rapidly and efficiently collect, analyze, and characterize all this information …
Knowledge-based approaches to drug discovery for rare diseases
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 …
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
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 …
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 …
(NGS) data of patients with Mendelian disorders. To improve this situation, researchers have …
[HTML][HTML] Efficiency of computer-aided facial phenoty** (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 phenoty**. Face2Gene …
of them feature characteristics that can be detected by facial phenoty**. Face2Gene …
KBG syndrome: videoconferencing and use of artificial intelligence driven facial phenoty** in 25 new patients
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 …
3 are known to cause KBG syndrome, a rare syndrome associated with craniofacial …