Latest AI and machine learning research in hiv/aids for healthcare professionals.
Protein-protein interaction (PPI) site prediction aids to ascertain the interface residues that participate in interaction processes. Fuzzy support vector machine (F-SVM) is proposed as an effective method to solve this problem, and we have shown that the performance of the classical SVM can be enhanced with the help of an interaction-affinity based fuzzy membership function. The performances of b...
OBJECTIVE: To analyze genetic characteristics of HIV isolated from men who have sex with men (MSM) in Beijing and predict the epidemic trend in this population.
OBJECTIVE: Regular HIV RNA testing for all HIV-positive patients on antiretroviral therapy (ART) is expensive and has low yield since most tests are u...
BACKGROUND: Mobile exoskeletons are increasingly being applied in the course of rehabilitation and provision of medical aids to patients with spinal c...
A great deal of recent work has been devoted to the topic of biomarkers as aids to diagnosis, prognosis and treatment evaluation. Basing our work on t...
As predicted by fuzzy-trace theory, people with a range of training—from untrained adolescents to expert physicians—are susceptible to biases and erro...
The issue of ontology evolution and change management is inadequately addressed by available tools and algorithms, mostly due to the lack of suitable ...
The designing of H∞ fuzzy controller for HIV/AIDS infected dynamic system has been considered in this paper. With TS fuzzy model and LMIs approach, th...
UNLABELLED: The similar routes of transmission for HIV and HBV place patients with either infection at greater risk for HIV/HBV co-infection.
BACKGROUND: Limited data exist comparing viral quasispecies between cerebrospinal fluid (CSF) and plasma compartments during primary HIV infection. De...
An estimated 183,000 Brazilian children are at risk of losing their mothers to AIDS, according to a survey released. The survey, sponsored by UNICEF, ...