Results 31 to 40 of about 285,431 (226)
HEAVY-CHAIN DISEASES AND MYELOMA-ASSOCIATED FANCONI SYNDROME: AN UPDATE
The heavy chain diseases (HCDs) are rare B-cell malignancies characterized by the production of a monoclonal immunoglobulin heavy chain without an associated light chain.
Roberto Ria+2 more
doaj +1 more source
Machine Learning for Infectious Disease Risk Prediction: A Survey [PDF]
Infectious diseases, either emerging or long-lasting, place numerous people at risk and bring heavy public health burdens worldwide. In the process against infectious diseases, predicting the epidemic risk by modeling the disease transmission plays an essential role in assisting with preventing and controlling disease transmission in a more effective ...
arxiv
AI-Based Decadal Predictive Analysis of Twenty Infectious Diseases in China with an Improved BSTS-MCMC Model [PDF]
This study embarks on a comprehensive exploration of the decadal trends and future trajectories of twenty distinct infectious diseases in China from 1998 to 2021. A refined Hybrid Bayesian Structural Time Series (BSTS)-Markov Chain Monte Carlo (MCMC) model is employed, intertwining with Long Short-Term Memory (LSTM) networks to dissect intricate ...
arxiv
Genetic approaches to identify pathological limitations in aortic smooth muscle contraction. [PDF]
Aortic smooth muscle contains limiting amounts of myosin light chain kinase (MLCK) for myosin regulatory light chain (RLC) phosphorylation and contraction that predisposes to thoracic aortic disease in humans containing heterozygous loss-of-function ...
Jian Huang+5 more
doaj +1 more source
Mu heavy chain disease (HCD) is the most rare variant of HCD, a 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 with the immunoglobulin ...
Bianchi, Giada, Anderson, Kenneth C
openaire +3 more sources
Bayesian latent time joint mixed effect models for multicohort longitudinal data [PDF]
Characterization of long-term disease dynamics, from disease-free to end-stage, is integral to understanding the course of neurodegenerative diseases such as Parkinson's and Alzheimer's; and ultimately, how best to intervene. Natural history studies typically recruit multiple cohorts at different stages of disease and follow them longitudinally for a ...
arxiv +1 more source
Heart failure (HF) is known as the final manifestation of cardiovascular diseases. Although cellular heterogeneity of the heart is well understood, the phenotypic transformation of cardiac cells in progress of HF remains obscure.
Luojiang Zhu+6 more
doaj +1 more source
Immunoglobulin heavy chain gene rearrangements in patients with Gaucher disease [PDF]
Background: Several studies support the evidence of increased incidence of hematological complications in Gaucher disease including monoclonal and polyclonal gammopathies and blood malignancies, especially multiple myeloma.
Rodić Predrag+8 more
doaj
Heavy-chain deposition disease associated with multiple myeloma: a case report [PDF]
Heavy-chain deposition disease (HCDD) is a rare disorder characterized by the deposition of monoclonal immunoglobulin. Due to the disease's rarity and diagnostic challenges, its prognosis is generally poor.
Young Rong Lee+5 more
doaj +1 more source
AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions [PDF]
Antibodies have become an important class of therapeutic agents to treat human diseases. To accelerate therapeutic antibody discovery, computational methods, especially machine learning, have attracted considerable interest for predicting specific interactions between antibody candidates and target antigens such as viruses and bacteria.
arxiv