AI-generated characters for supporting personalized learning and well-being

P Pataranutaporn, V Danry, J Leong… - Nature Machine …, 2021 - nature.com
Advancements in machine learning have recently enabled the hyper-realistic synthesis of
prose, images, audio and video data, in what is referred to as artificial intelligence (AI) …

The human phenotype ontology in 2017

S Köhler, NA Vasilevsky, M Engelstad… - Nucleic acids …, 2017 - academic.oup.com
Deep phenotyping has been defined as the precise and comprehensive analysis of
phenotypic abnormalities in which the individual components of the phenotype are observed …

[PDF][PDF] The human phenotype ontology in 2017

S Kohler, NA Vasilevsky, M Engelstad, E Foster… - 2017 - repository.ubn.ru.nl
Deep phenotyping has been defined as the precise and comprehensive analysis of
phenotypic abnormalities in which the individual components of the phenotype are observed …

Forensic DNA phenotyping: predicting human appearance from crime scene material for investigative purposes

M Kayser - Forensic Science International: Genetics, 2015 - Elsevier
Forensic DNA Phenotyping refers to the prediction of appearance traits of unknown sample
donors, or unknown deceased (missing) persons, directly from biological materials found at …

Genome-wide mapping of global-to-local genetic effects on human facial shape

P Claes, J Roosenboom, JD White, T Swigut, D Sero… - Nature …, 2018 - nature.com
Genome-wide association scans of complex multipartite traits like the human face typically
use preselected phenotypic measures. Here we report a data-driven approach to …

Shared heritability of human face and brain shape

S Naqvi, Y Sleyp, H Hoskens, K Indencleef… - Nature …, 2021 - nature.com
Evidence from model organisms and clinical genetics suggests coordination between the
developing brain and face, but the role of this link in common genetic variation remains …

Identification of individuals by trait prediction using whole-genome sequencing data

C Lippert, R Sabatini, MC Maher… - Proceedings of the …, 2017 - National Acad Sciences
Prediction of human physical traits and demographic information from genomic data
challenges privacy and data deidentification in personalized medicine. To explore the …

[HTML][HTML] Inference in the age of big data: Future perspectives on neuroscience

D Bzdok, BTT Yeo - Neuroimage, 2017 - Elsevier
Neuroscience is undergoing faster changes than ever before. Over 100 years our field
qualitatively described and invasively manipulated single or few organisms to gain …

A genome-wide association scan implicates DCHS2, RUNX2, GLI3, PAX1 and EDAR in human facial variation

K Adhikari, M Fuentes-Guajardo… - Nature …, 2016 - nature.com
We report a genome-wide association scan for facial features in∼ 6,000 Latin Americans.
We evaluated 14 traits on an ordinal scale and found significant association (P values< 5× …

Genome-wide association study reveals multiple loci influencing normal human facial morphology

JR Shaffer, E Orlova, MK Lee, EJ Leslie… - PLoS …, 2016 - journals.plos.org
Numerous lines of evidence point to a genetic basis for facial morphology in humans, yet
little is known about how specific genetic variants relate to the phenotypic expression of …