Latest AI and machine learning research in hiv/aids for healthcare professionals.
The UNAIDS 90-90-90 target has prioritized achieving high rates of viral suppression. We identified ...
There is an increasing population of people living with both HIV and stroke around the world with no...
The performance of a deep-learning-based speech enhancement (SE) technology for hearing aid users, c...
OBJECTIVE: Universal HIV screening programs are costly, labor intensive, and often fail to identify ...
PURPOSE: Globally, transgender women (TGW) experience a high burden of adverse health outcomes, incl...
BACKGROUND: To investigate the impact of switching from stable Combined Antiretroviral Therapy (cART...
BACKGROUND: HIV infection induces alterations in the gut-associated lymphoid tissue (GALT) that cons...
BACKGROUND: TRIP (Transmission Reduction Intervention Project) was a network-based, contact tracing ...
Introduced more than two decades ago, computer-aided orthopaedic surgery (CAOS) has emerged as a new...
Despite great advances in hearing-aid technology, users still experience problems with noise in wind...
INTRODUCTION: Hemolytic uremic syndrome (HUS) in Human Immunodeficiency Virus (HIV)-positive patient...
To characterize long-term nonprogressors (LTNPs) and viremia controllers (VCs), infected with HIV-1 ...
Determining the factors modulating the genetic diversity of HIV-1 populations is essential to unders...
In plant phenotyping, it has become important to be able to measure many features on large image set...
Quantitative analysis of brain MRI is routine for many neurological diseases and conditions and reli...
OBJECTIVE: To develop automated classification methods for eligibility criteria in ClinicalTrials.go...
INTRODUCTION: "Social big data" from technologies such as social media, wearable devices, and online...
HIV testing is the foundation for consolidated HIV treatment and prevention. In this study, we aim t...