Background Tuberculosis is the leading killer of patients with human immunodeficiency virus
(HIV) infection. Preventive therapy is effective, but current regimens are limited by poor …

Background Post-tuberculosis lung damage (PTLD) is a recognised consequence of
pulmonary TB (pTB). However, little is known about its prevalence, patterns and associated …

While genetic advances have successfully defined part of the complexity in Parkinson's
disease (PD), the clinical characterization of phenotypes remains challenging. Therapeutic …

Aim Early warning scores (EWS) are widely used in well-resourced healthcare settings to
identify patients at risk of mortality. The Modified Early Warning Score (MEWS) is a well …

Inspired by natural biochemicals that perform complex information processing within living
cells, we design and simulate a chemically implemented feedforward neural network, which …

Consumer wearables and sensors are a rich source of data about patients' daily disease
and symptom burden, particularly in the case of movement disorders like Parkinson's …

Background: Many HIV-infected individuals present with advanced HIV disease. These
patients are at high risk of death after antiretroviral therapy (ART) initiation, but risk factors for …

Grassroot Soccer designed a curriculum and sport‐based teaching model to build resiliency,
targeting boys and girls in Lusaka, Zambia, and Johannesburg, South Africa, where most …

Reservoir computing (RC) is a novel approach to time series prediction using recurrent
neural networks. In RC, an input signal perturbs the intrinsic dynamics of a medium called a …

State-of-the-art biochemical systems for medical applications and chemical computing are
application-specific and cannot be reprogrammed or trained once fabricated. The …