Latest AI and machine learning research in hiv/aids for healthcare professionals.
MOTIVATION: Protein activity is a significant characteristic for recombinant proteins which can be u...
Cardiovascular imaging is going to change substantially in the next decade, fueled by the deep learn...
"Just-in-time" interventions (JITs) delivered via smartphones have considerable potential for reduci...
Currently, the development of medicines for complex diseases requires the development of combination...
Delineation of alveolar bone aids the diagnosis and treatment of periodontal diseases. In current pr...
Soft-tissue Sarcomas (STS) are a heterogeneous group of malignant neoplasms with a relatively high m...
Intra-retinal cysts (IRCs) are significant in detecting several ocular and retinal pathologies. Segm...
Robot-based neurorehabilitation strategies often ignore cognitive performance during treatment, but ...
Data science is likely to lead to major changes in cardiovascular imaging. Problems with timing, eff...
Deep learning is a genre of machine learning that allows computational models to learn representatio...
MOTIVATION: N4-methylcytosine (4mC), an important epigenetic modification formed by the action of sp...
Recent progress in the development of scientific libraries with machine-learning techniques paved th...
Guangxi, a province in southwestern China, has the second highest reported number of HIV/AIDS cases ...
This review critically analyzes how machine learning is being used to support clinical decision-maki...
BACKGROUND: Dolutegravir (DTG) plus boosted darunavir (bDRV) is a compact, adherence-friendly salvag...
We report a 45-year-old male with AIDS who had a Cryptococcus neoformans central nervous system infe...
PURPOSE: Entering all information from narrative documentation for clinical research into databases ...
In the course of digitalization it is becoming increasingly rare for medical documents to be handwri...
PURPOSE OF REVIEW: Over the past 10 years, the use of information and communication technologies (IC...
BACKGROUND: Mortality prediction aids clinical decision making and is necessary for quality improvem...
INTRODUCTION Flow cytometry allows immunophenotypic characterization of important lymphocyte subpopu...