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GestaltMatcher: rare disease matching using facial phenotypic descriptors

Published on Jun 14, 202324 Views

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Chapter list

GestaltMatcher: rare disease matching using facial phenotypic descriptors00:00
What I would like to talk about today00:15
Computer Vision00:39
Interpretation of the achieved accuracy Computer Vision and next generation phenotyping (NGP) in the last decade01:02
Facial analysis by DeepGestalt (Face2Gene)02:19
Number of genes - 103:05
Number of genes - 203:42
Number of genes - 303:46
Factors that affect the performance of an AI: Algorithms - 104:49
Factors that affect the performance of an AI: Algorithms - 205:09
Factors that affect the performance of an AI: Algorithms - 305:27
GestaltMatcher in research06:42
Lumping and Splitting06:48
Lumper and splitter06:57
Match patients07:41
SMARCA2 subgroups with two different episignatures - 108:25
SMARCA2 subgroups with two different episignatures - 209:32
SMARCA2 subgroups with two different episignatures - 309:46
Phenotypic evidence for lumping and splitting10:41
GMDB can do lumper and splitter analysis11:16
Gestalt scores for variant classification - 112:40
Gestalt scores for variant classification - 213:29
GestaltMatcher Database - 113:53
Fair Principles14:01
GestaltMatcher Database - 214:05
Gallery14:10
GMDB is a novel publication medium for dynamic case reports14:30
GMDB an image repository and a node in MME14:44
World wide effort from the research community14:53