Latest AI and machine learning research in hiv/aids for healthcare professionals.
BACKGROUND AND OBJECTIVE: The difference in molecular characteristics of Triple negative breast cancer (TNBC) aids in distinguishing between its four prominent subtypes- basal-like 1, basal-like 2, mesenchymal, and luminal androgen receptor. This study presents the first integrative framework that combines explainable AI with machine learning approaches to classify TNBC subtypes. Unlike convention...
Cancer metastasis accounts for about 90% of cancer-related mortality, but is difficult to predict. In particular, distant metastasis is more difficult to predict by a learning method than lymph node metastasis due to the limited amount of data available for training a model and the inherent complexity of distant metastasis. Predicting distant metastatic sites from a primary cancer is even more dif...
Female genital schistosomiasis (FGS) is a sequela of infection with a waterborne parasite prevalent in sub-Saharan Africa and is associated with incre...
CMV/HIV coinfection markedly exacerbates disease progression, elevates treatment failure risk, and worsens patient outcomes, yet the underlying molecu...
BACKGROUND: Despite the growing use of digital platforms for sexual health education, many tools fail to meet the needs of LGBTQ+ (lesbian, gay, bisex...
BACKGROUND: The aging trend of people living with HIV or AIDS in China is increasing day by day. Frailty is a common condition among older adults livi...
Artificial intelligence (AI) continues to rapidly transform the practice of medicine, with clinicians increasingly adopting data-driven decision-makin...
Sjögren's Syndrome (SS) is a long-term autoimmune disorder marked by damage to exocrine glands and irregularities in the immune system. Currently, the...
OBJECTIVE: To comparatively evaluate the clinical responses of three digital platforms (ChatGPT 5.2, DeepSeek, Consensus) in terms of responsiveness, ...
Recent advances in artificial intelligence have led to the development of generative models for de novo protein design. We compared 13 state-of-the-ar...
Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy often diagnosed late due to the limited sensitivity and specificity of current m...
BACKGROUND: Abdominal aortic aneurysm (AAA) and major depressive disorder (MDD) are prevalent conditions with substantial global health burdens. Growi...
Coronary heart disease (CHD) affects life quality of patients by impaired coronary artery blood supply. We were planning to study the molecular mechan...
BACKGROUND: Pediatric cardiopulmonary resuscitation (CPR) is a highly complex and time-critical process that demands precise team coordination and str...
Influence maximization (IM) seeks to identify a subset of key nodes that maximize the spread of information or behavior through a network. While tradi...
INTRODUCTION: High costs of screening and diagnostic tests remain a major barrier to timely tuberculosis (TB) identification in resource-limited setti...
BACKGROUND: Postoperative pancreatic fistula (POPF) is the major driver of postoperative morbidity after pancreatoduodenectomy (PD) and a healthcare i...
BACKGROUND: Mitochondrial dysfunction contributes to the pathogenesis of multiple diseases. This study explores the involvement of mitochondrial dysfu...
BACKGROUND AND PURPOSE: Accurate detection of pituitary microadenomas is critical for the diagnosis and treatment of Cushing's disease (CD). However, ...
ConspectusViral proteases are essential enzymes required for viral replication and assembly, making them prime antiviral drug targets. However, under ...