HIV/AIDS

Enhancing Bone Cancer Diagnosis Through Image Extraction and Machine Learning: A State-of-the-Art Approach.

Bone cancer is a severe condition often leading to patient mortality. Diagnosis relies on X-rays, M...

Domain-informed variational neural networks and support vector machines based leakage detection framework to augment self-healing in water distribution networks.

The reduction of water leakage is essential for ensuring sustainable and resilient water supply syst...

Computational drug discovery on human immunodeficiency virus with a customized long short-term memory variational autoencoder deep-learning architecture.

Despite attempts to control the spread of human immunodeficiency virus (HIV) through the use of anti...

In silico evolution of autoinhibitory domains for a PD-L1 antagonist using deep learning models.

There has been considerable progress in the development of computational methods for designing prote...

Artificial intelligence for glaucoma: state of the art and future perspectives.

PURPOSE OF REVIEW: To address the current role of artificial intelligence (AI) in the field of glauc...

Association of Intermediate-Stage Age-Related Macular Degeneration with Plasma Inflammatory Biomarkers in Persons with AIDS.

PURPOSE: To evaluate associations of plasma levels of inflammatory biomarkers with age-related macul...

Artificial Intelligence and Deep Learning for Advancing PET Image Reconstruction: State-of-the-Art and Future Directions.

Positron emission tomography (PET) is vital for diagnosing diseases and monitoring treatments. Conve...

Addressing Chatbots as Artificial Intelligence Aids in Pediatric Pathology.

From Microcosm to Macrocosm: The -Omics, Multiomics, and Sportomics Approaches in Exercise and Sports.

This article explores the progressive integration of -omics methods, including genomics, metabolomic...

MDSR-NMF: Multiple deconstruction single reconstruction deep neural network model for non-negative matrix factorization.

Dimension reduction is one of the most sought-after strategies to cope with high-dimensional ever-ex...

NASS 2023 Presidential Address: Artificial Intelligence and its effect on the Art of Medicine and the Physician- Patient Relationship.

Contextually enhanced ES-dRNN with dynamic attention for short-term load forecasting.

In this paper, we propose a new short-term load forecasting (STLF) model based on contextually enhan...

Artificial intelligence in serum protein electrophoresis: history, state of the art, and perspective.

Serum protein electrophoresis (SPEP) is a valuable laboratory test that separates proteins from the ...

Risk of sexual transmission of HIV in the context of viral load suppression.

BACKGROUND: In 2018, the Public Health Agency of Canada (PHAC) published a systematic review to calc...

CLCAP: Contrastive learning improves antigenicity prediction for influenza A virus using convolutional neural networks.

Influenza viruses are detected year-round over the world and the viruses will usually circulate duri...

Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space.

Positron emission tomography/computed tomography (PET/CT) is increasingly used in oncology, neurolog...

[Faster diagnosis of rare diseases with artificial intelligence-A precept of ethics, economy and quality of life].

BACKGROUND: Approximately 300 million people worldwide suffer from a rare disease. An optimal treatm...

Artificial Intelligence-Generated Imagery: A New Approach to Art in Medicine.

Anaphylactic Shock to Intravenous Indocyanine Green During a Robotic Right Colectomy.

Intravenous indocyanine green (IV ICG) is regarded as a safe immunofluorescence agent used to assess...

[ChatGPT: aid to medical ethics decision making?].

BACKGROUND: Physicians have to make countless decisions every day. The medical, ethical and legal as...

Mutual-Attention Net: A Deep Attentional Neural Network for Keyphrase Generation.

Neural keyphrase generation (NKG) is a recently proposed approach to automatically extract keyphrase...