Infectious Disease

HIV/AIDS

Latest AI and machine learning research in hiv/aids for healthcare professionals.

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Telerobotic Haptic Exploration in Art Galleries and Museums for Individuals with Visual Impairments.

This paper presents a haptic telepresence system that enables visually impaired users to explore loc...

Automatic classification of diseases from free-text death certificates for real-time surveillance.

BACKGROUND: Death certificates provide an invaluable source for mortality statistics which can be us...

Multistage virtual screening and identification of novel HIV-1 protease inhibitors by integrating SVM, shape, pharmacophore and docking methods.

The HIV-1 protease has proven to be a crucial component of the HIV replication machinery and a relia...

Parsing clinical text: how good are the state-of-the-art parsers?

BACKGROUND: Parsing, which generates a syntactic structure of a sentence (a parse tree), is a critic...

Developing an Intelligent Automatic Appendix Extraction Method from Ultrasonography Based on Fuzzy ART and Image Processing.

Ultrasound examination (US) does a key role in the diagnosis and management of the patients with cli...

Machine learning methods enable predictive modeling of antibody feature:function relationships in RV144 vaccinees.

The adaptive immune response to vaccination or infection can lead to the production of specific anti...

Markers of HIV reservoir size and immune activation after treatment in acute HIV infection with and without raltegravir and maraviroc intensification.

BACKGROUND: It is unclear whether intensification of standard highly active antiretroviral therapy (...

State of the art of fuzzy methods for gene regulatory networks inference.

To address one of the most challenging issues at the cellular level, this paper surveys the fuzzy me...

Hierarchical neural networks perform both serial and parallel processing.

In this work we study a Hebbian neural network, where neurons are arranged according to a hierarchic...

Lung cancer prediction using neural network ensemble with histogram of oriented gradient genomic features.

This paper reports an experimental comparison of artificial neural network (ANN) and support vector ...

BiNChE: a web tool and library for chemical enrichment analysis based on the ChEBI ontology.

BACKGROUND: Ontology-based enrichment analysis aids in the interpretation and understanding of large...

Adaptive semi-supervised recursive tree partitioning: The ART towards large scale patient indexing in personalized healthcare.

With the rapid development of information technologies, tremendous amount of data became readily ava...

A comparative study of family-specific protein-ligand complex affinity prediction based on random forest approach.

The assessment of binding affinity between ligands and the target proteins plays an essential role i...

Ensemble learning of inverse probability weights for marginal structural modeling in large observational datasets.

Inverse probability weights used to fit marginal structural models are typically estimated using log...

Evaluating the state of the art in disorder recognition and normalization of the clinical narrative.

OBJECTIVE: The ShARe/CLEF eHealth 2013 Evaluation Lab Task 1 was organized to evaluate the state of ...

Prediction of peripheral blood lymphocyte subpopulations after renal transplantation.

Immune monitoring is essential for maintaining immune homeostasis after renal transplantation (RT). ...

BegoniaGPT: Cultivating the large language model to be an exceptional K-12 English teacher.

Large language models (LLMs) have taken the natural language processing (NLP) domain by storm, and t...

The Critical Role of APOE+ Macrophages in the Immune Microenvironment and Prognosis of Lung Adenocarcinoma.

The immunoregulatory functions and clinical implications of APOE+ macrophages within the tumour micr...

Generation of synthetic tomographic images from biplanar X-ray: a narrative review of history, methods, and the state of the art.

This narrative review presents deep learning-based strategies for generating synthetic 3D CT-like im...

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