RESUMEN
Shprintzen-Goldberg syndrome (SGS) is an autosomal dominant syndrome caused by de novo gene mutations. It is characterized by a number of congenital defects such as craniofacial, skeletal, neurological, and connective tissue abnormalities. It is characterized by craniosynostosis and marfanoid features. To our knowledge, approximately 75 shprintzen-goldberg syndrome cases have been documented since it was first described in 1982. Rare cases of shprintzen-goldberg syndrome have been reported in which the mutated gene was inherited from an unaffected parent through their germline cells i.e., egg or sperm cells. This is a case report of a 6-year-old boy with clinically diagnosed Shprintzen-Goldberg Syndrome with Hirschsprung disease. Patient reported with multiple caries and malpositioned teeth. The treatment initiated with awareness about cariogenic foods, oral hygiene instructions and diet counselling. Subsequently, comprehensive rehabilitation was done. Key words:Dental management, Craniosynostosis, Hirschsprung disorder.
RESUMEN
Neuromorphic computing technologies will be important for the future of computing, but much of the work in neuromorphic computing has focused on hardware development. Here, we review recent results in neuromorphic computing algorithms and applications. We highlight characteristics of neuromorphic computing technologies that make them attractive for the future of computing and we discuss opportunities for future development of algorithms and applications on these systems.