Absolute eosinophil count correlates with temperature and CD4 count independently of HIV infection among tuberculosis patients.

Objective: To determine clinical correlates of the peripheral absolute eosinophil count (AEC) among bacteriologically confirmed TB patients in Uganda.

Materials And Methods: We evaluated data of bacteriologically confirmed adult TB patients who had a peripheral blood AEC measurement at the National TB Treatment Center in Uganda during a cross-sectional study. We performed linear regression analysis for correlates of log-transformed AEC.

A survey of machine learning applications in HIV clinical research and care.

A wealth of genetic, demographic, clinical and biomarker data is collected from routine clinical care of HIV patients and exists in the form of medical records available among the medical care and research communities. Machine learning (ML) methods have the ability to identify and discover patterns in complex datasets and predict future outcomes of HIV treatment. We survey published studies that make use of ML techniques in HIV clinical research and care.