HIV/AIDS

Application of causal forest double machine learning (DML) approach to assess tuberculosis preventive therapy's impact on ART adherence.

Adherence to antiretroviral therapy (ART) is critical for HIV treatment success, yet the impact of t...

A Systematic Review on Effect of Bifidobacterium Isolated from Skin Microbiota on GLP-1 Production to Alleviate Human Ailments.

The skin, a complex ecosystem, hosts diverse microorganisms that interact with the immune system and...

Analysis of Factors Influencing Immunological Failure in Elderly People Living with HIV Undergoing Antiretroviral Therapy: A LASSO-Logistic Regression Approach.

This study aimed to identify key predictors of immunological failure in elderly patients with HIV re...

Machine learning algorithms to predict the risk of admission to intensive care units in HIV-infected individuals: a single-centre study.

Antiretroviral therapy (ART) has transformed HIV from a rapidly progressive and fatal disease to a c...

Accurate Biomolecular Structure Prediction in CASP16 With Optimized Inputs to State-Of-The-Art Predictors.

Biomolecular structure prediction has reached an unprecedented level of accuracy, partly attributed ...

The state of the art in artificial intelligence and digital pathology in prostate cancer.

Prostate cancer is among the most common cancers worldwide, with ~1.5 million new diagnoses globally...

A dual self-attentive transformer U-Net model for precise pancreatic segmentation and fat fraction estimation.

Accurately segmenting the pancreas from abdominal computed tomography (CT) images is crucial for det...

Identification of prognostic genes related to T cell proliferation in papillary thyroid cancer based on single-cell RNA sequencing and bulk RNA sequencing data.

Papillary thyroid carcinoma (PTC) is the main pathological subtype of thyroid cancer. Given the stro...

Performance of Clinical Risk Prediction Models for Post-ERCP Pancreatitis: A Systematic Review.

OBJECTIVES: Pancreatitis is common following endoscopic retrograde cholangiopancreatography (ERCP). ...

Artificial intelligence scribes in general practice: sacrificing the art of medicine for promised efficiency.

Revolutionizing CRISPR technology with artificial intelligence.

Genome engineering has made remarkable strides, evolving from DNA-binding proteins such as zinc fing...

Evaluating the Performance of State-of-the-Art Artificial Intelligence Chatbots Based on the WHO Global Guidelines for the Prevention of Surgical Site Infection: Cross-Sectional Study.

BACKGROUND: Surgical site infection (SSI) is the most prevalent type of health care-associated infec...

Digital Therapeutics in Cardiovascular Healthcare: A Narrative Review.

The rapid development of digital therapeutics (DTx) presents opportunities for cardiovascular diseas...

Longitudinal single-cell RNA model aids prediction of EGFR-TKI resistance.

Resistance is inevitable and a major challenge in treating Lung adenocarcinoma (LUAD) patients with ...

AI in therapeutic and assistive exoskeletons and exosuits: Influences on performance and autonomy.

Therapeutic and assistive exoskeletons and exosuits show promise in both clinical and real-world set...

The Future Use of AI to Improve Accessibility of Assisted Reproductive Technology (ART) in Low- and Middle-Income Countries.

ABSTRACT: People in low- and middle-income countries face many obstacles when trying to access ferti...

Explaining care need assessment surveys: qualitative and quantitative evaluation of state-of-the-art local and global explainable artificial intelligence methods.

OBJECTIVE: With extended life expectancy, the number of people in need of care has been growing. To ...

Proactive recognition and early detection in communities through targeted HIV screening.

Human Immunodeficiency Virus (HIV) remains a critical public health concern, and is a significant gl...

Comparison of machine learning models to predict loss to follow-up among people with Human Immunodeficiency Virus (HIV).

OBJECTIVE: To compare different machine learning models of loss to follow-up among people with HIV (...

Evaluating predictive performance, validity, and applicability of machine learning models for predicting HIV treatment interruption: a systematic review.

BACKGROUND: HIV treatment interruption remains a significant barrier to achieving global HIV/AIDS co...

Equity-enhanced glaucoma progression prediction from OCT with knowledge distillation.

Glaucoma is a progressive disease that can lead to permanent vision loss, making progression predict...