AIMC Topic: Acquired Immunodeficiency Syndrome
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Analysis and validation of hub genes for atherosclerosis and AIDS and immune infiltration characteristics based on bioinformatics and machine learning.
Scientific reports
Apr 10, 2025
Atherosclerosis is the major cause of cardiovascular diseases worldwide, and AIDS linked with chronic inflammation and immune activation, increases atherosclerosis risk. The application of bioinformatics and machine learning to identify hub genes for...
Machine learning-based prediction of mortality risk in AIDS patients with comorbid common AIDS-related diseases or symptoms.
Frontiers in public health
Mar 12, 2025
OBJECTIVE: Early assessment and intervention of Acquired Immune Deficiency Syndrome (AIDS) patients at high risk of mortality is critical. This study aims to develop an optimally performing mortality risk prediction model for AIDS patients with comor...
Study on the prediction performance of AIDS monthly incidence in Xinjiang based on time series and deep learning models.
BMC public health
Feb 25, 2025
OBJECTIVE: AIDS is a highly fatal infectious disease of Class B, and Xinjiang is a high-incidence region for AIDS in China. The core of prevention and control lies in early monitoring and early warning. This study aims to identify the best model for ...
First-line combination therapy of immunotherapy plus anti-angiogenic drug for thoracic SMARCA4-deficient undifferentiated tumors in AIDS: a case report and review of the literature.
Frontiers in immunology
Jan 9, 2025
BACKGROUND: Thoracic SMARCA4-deficient undifferentiated tumors (SMARCA4-UT) exhibit a notably aggressive phenotype, which is associated with poor patient survival outcomes. These tumors are generally resistant to conventional cytotoxic chemotherapy, ...
Accurate Prediction of Transcriptional Activity of Single Missense Variants in HIV Tat with Deep Learning.
International journal of molecular sciences
Mar 24, 2023
Tat is an essential gene for increasing the transcription of all HIV genes, and affects HIV replication, HIV exit from latency, and AIDS progression. The Tat gene frequently mutates in vivo and produces variants with diverse activities, contributing ...
Effective attention-based network for syndrome differentiation of AIDS.
BMC medical informatics and decision making
Oct 15, 2020
BACKGROUND: Syndrome differentiation aims at dividing patients into several types according to their clinical symptoms and signs, which is essential for traditional Chinese medicine (TCM). Several previous works were devoted to employing the classica...
A machine learning method to monitor China's AIDS epidemics with data from Baidu trends.
PloS one
Jul 11, 2018
BACKGROUND: AIDS is a worrying public health issue in China and lacks timely and effective surveillance. With the diffusion and adoption of the Internet, the 'big data' aggregated from Internet search engines, which contain users' information on the ...
Tuberculosis diagnosis support analysis for precarious health information systems.
Computer methods and programs in biomedicine
Jan 11, 2018
BACKGROUND AND OBJECTIVE: Pulmonary tuberculosis is a world emergency for the World Health Organization. Techniques and new diagnosis tools are important to battle this bacterial infection. There have been many advances in all those fields, but in de...
HHV-8-associated haemophagocytic lymphohistiocytosis in a patient with advanced AIDS.
BMJ case reports
Dec 22, 2017
We present a patient with advanced AIDS admitted with recurrent shock of unclear aetiology, fevers, altered mental status and refractory cytopenias. His case posed a diagnostic challenge because evaluation of septic shock in the setting of advanced A...
Sensitive detection of rare disease-associated cell subsets via representation learning.
Nature communications
Apr 6, 2017
Rare cell populations play a pivotal role in the initiation and progression of diseases such as cancer. However, the identification of such subpopulations remains a difficult task. This work describes CellCnn, a representation learning approach to de...
Monocytes
Signal Transduction
Acquired Immunodeficiency Syndrome
Survival Analysis
T-Lymphocyte Subsets
Killer Cells, Natural
Leukemia
Cytomegalovirus Infections
Cytokines
Humans
Rare Diseases
Immunologic Memory
Supervised Machine Learning
Neural Networks, Computer
Prognosis
Neoplasm, Residual
Single-Cell Analysis
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