AIMC Topic: Autoimmune Diseases
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Characterizing Autoimmune Disease-associated Diffuse Large B-cell Lymphoma in a SEER-Medicare Cohort.
Clinical lymphoma, myeloma & leukemia
Dec 2, 2017
BACKGROUND: Severe immune dysregulation such as seen in autoimmune (AI) disease is known to act as a significant risk factor for diffuse large B-cell lymphoma (DLBCL). However, little is known about the demographics or clinical outcomes of DLBCL that...
Reviewing 741 patients records in two hours with FASTVISU.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Nov 5, 2015
The secondary use of electronic health records opens up new perspectives. They provide researchers with structured data and unstructured data, including free text reports. Many applications been developed to leverage knowledge from free-text reports,...
Cellular level robotic surgery: Nanodissection of intermediate filaments in live keratinocytes.
Nanomedicine : nanotechnology, biology, and medicine
Sep 6, 2014
We present the nanosurgery on the cytoskeleton of live cells using AFM based nanorobotics to achieve adhesiolysis and mimic the effect of pathophysiological modulation of intercellular adhesion. Nanosurgery successfully severs the intermediate filame...
Unmet needs in autoimmune liver diseases.
Current opinion in immunology
Aug 1, 2025
Autoimmune hepatitis, primary biliary cholangitis, and primary sclerosing cholangitis are well-defined autoimmune liver diseases, the pathophysiology of which remains enigmatic. While major therapeutic advances have been achieved for many other autoi...
Towards the Next Generation of Data-Driven Therapeutics Using Spatially Resolved Single-Cell Technologies and Generative AI.
European journal of immunology
Feb 1, 2025
Recent advances in multi-omics and spatially resolved single-cell technologies have revolutionised our ability to profile millions of cellular states, offering unprecedented opportunities to understand the complex molecular landscapes of human tissue...
Bursting the bubble on diagnostics: artificial intelligence in autoimmune bullous disease.
The British journal of dermatology
Jul 16, 2024
A deep learning approach to direct immunofluorescence pattern recognition in autoimmune bullous diseases.
The British journal of dermatology
Jul 16, 2024
BACKGROUND: Artificial intelligence (AI) is reshaping healthcare, using machine and deep learning (DL) to enhance disease management. Dermatology has seen improved diagnostics, particularly in skin cancer detection, through the integration of AI. How...
From data to diagnosis: how machine learning is revolutionizing biomarker discovery in idiopathic inflammatory myopathies.
Briefings in bioinformatics
Nov 22, 2023
Idiopathic inflammatory myopathies (IIMs) are a heterogeneous group of muscle disorders including adult and juvenile dermatomyositis, polymyositis, immune-mediated necrotising myopathy and sporadic inclusion body myositis, all of which present with v...
Convolutional neural network model to predict causal risk factors that share complex regulatory features.
Nucleic acids research
Dec 16, 2019
Major progress in disease genetics has been made through genome-wide association studies (GWASs). One of the key tasks for post-GWAS analyses is to identify causal noncoding variants with regulatory function. Here, on the basis of >2000 functional fe...
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