Results 11 to 20 of about 285,431 (226)
Heavy-Chain Deposition Disease [PDF]
Comment inOminous consequences of immunoglobulin deposition. [N Engl J Med. 1993]
Aucouturier, Pierre+7 more
openaire +5 more sources
Gamma-heavy chain disease [PDF]
Gamma-heavy chain disease is a rare disease, described so far in approximately 150 cases. The aim of this work was laboratory dia-gnostics of immunoglobulin heavy chain disease.A 60-year-old patient was referred to the University Hospital in Ostrava for suspected marginal zone lymphoma from gastric bio-psy.
Tomas Jelinek+3 more
openaire +3 more sources
Alpha heavy chain disease [PDF]
lpha heavy chain disease (HCD) is the most prevalent form of heavy chain diseases, a rare family of syndromes associated with or representing a B cell malignancy variant. The hallmark characteristic and the pathogenic mechanism of HCD is the synthesis of a mutant, misfolded immunoglobulin heavy chain (IgH) which cannot form a quaternary conformation ...
Bianchi, Giada, Anderson, Kenneth C
openaire +3 more sources
Multiple myeloma shows no intra-disease clustering of immunoglobulin heavy chain genes
Background Characterization of the immunoglobulin gene repertoire has improved our understanding of the immunopathogenesis of lymphoid tumors. Early B-lymphocyte precursors of multiple myeloma are known to exist and might be susceptible to antigenic ...
Simone Ferrero+24 more
doaj +3 more sources
Gamma heavy chain disease complicated by pulmonary hypertension, which was successfully treated with lenalidomide. [PDF]
Shibata S, Fukunaga A.
europepmc +3 more sources
Gamma heavy-chain disease accompanied with follicular lymphoma: a case report. [PDF]
San-José P+4 more
europepmc +3 more sources
T cell receptor rearrangements in a patient with γ-heavy chain disease: A case report. [PDF]
Zhou H+5 more
europepmc +3 more sources
Zero-state Coupled Markov Switching Count Models for Spatio-temporal Infectious Disease Spread [PDF]
Spatio-temporal counts of infectious disease cases often contain an excess of zeros. With existing zero inflated count models applied to such data it is difficult to quantify space-time heterogeneity in the effects of disease spread between areas. Also, existing methods do not allow for separate dynamics to affect the reemergence and persistence of the
arxiv +1 more source
![Figure][1] A 78-year-old woman from Sudan with presumed tuberculous lymphadenitis without preexisting autoimmune disease presented with fatigue, persistent fever, hepatosplenomegaly, and generalized lymphadenopathy.
Vidya Nagrale, Lois Richard
openaire +3 more sources
Disease X vaccine production and supply chains: risk assessing healthcare systems operating with artificial intelligence and industry 4.0 [PDF]
A set of six algorithmic solutions is presented for resolving vaccine production and supply chain bottlenecks. A different set of algorithmic solutions is presented for forecasting risks during a Disease X event.
arxiv +1 more source