An efficient and accurate distributed learning algorithm for modeling multi-site zero-inflated count outcomes

Abstract Clinical research networks (CRNs), made up of multiple healthcare systems each with patient data from several care sites, are beneficial for studying rare outcomes and increasing generalizability of results.While CRNs encourage sharing aggregate data across healthcare systems, individual systems within CRNs often cannot share patient-level

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A Rare Case of Tuberous Sclerosis with Giant Cell Astrocytoma

Tuberous sclerosis complex (TSC) is a neurocutaneous disease inherited in an autosomal dominant pattern with variable penetration.This case report is of a 12-year-old boy who presented with complaints of headache, vomiting, and fits.His neurocutaneous stigmata combined Deep Fryers with radiological imaging led us to the diagnosis of TSC with sub ep

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