Infectious Disease

HIV/AIDS

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

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Progressive multifocal leukoencephalopathy lesion and brain parenchymal segmentation from MRI using serial deep convolutional neural networks.

Progressive multifocal leukoencephalopathy (PML) is a rare opportunistic brain infection caused by t...

Facilitating the Development of Deep Learning Models with Visual Analytics for Electronic Health Records.

Electronic health record (EHR) data are widely used to perform early diagnoses and create treatment ...

Comparing machine learning with case-control models to identify confirmed dengue cases.

In recent decades, the global incidence of dengue has increased. Affected countries have responded w...

Better understanding and prediction of antiviral peptides through primary and secondary structure feature importance.

The emergence of viral epidemics throughout the world is of concern due to the scarcity of available...

Effective attention-based network for syndrome differentiation of AIDS.

BACKGROUND: Syndrome differentiation aims at dividing patients into several types according to their...

A Point-of-Care, Real-Time Artificial Intelligence System to Support Clinician Diagnosis of a Wide Range of Skin Diseases.

Dermatological diagnosis remains challenging for nonspecialists because the morphologies of primary ...

A deep learning approach to programmable RNA switches.

Engineered RNA elements are programmable tools capable of detecting small molecules, proteins, and n...

C-arm CT imaging with the extended line-ellipse-line trajectory: first implementation on a state-of-the-art robotic angiography system.

Three-dimensional cone-beam imaging has become valuable in interventional radiology. Currently, this...

EEG-Based Emotion Recognition: A State-of-the-Art Review of Current Trends and Opportunities.

Emotions are fundamental for human beings and play an important role in human cognition. Emotion is ...

Training Radiology Residents, Bloom Style.

Bloom's Taxonomy, an integral component of learning theory since its inception, describes cognitive ...

Unsupervised Clustering of Missense Variants in HNF1A Using Multidimensional Functional Data Aids Clinical Interpretation.

Exome sequencing in diabetes presents a diagnostic challenge because depending on frequency, functio...

Incomplete multi-view gene clustering with data regeneration using Shape Boltzmann Machine.

Deciphering patterns in the structural and functional anatomy of genes can prove to be very helpful ...

Neural signal analysis with memristor arrays towards high-efficiency brain-machine interfaces.

Brain-machine interfaces are promising tools to restore lost motor functions and probe brain functio...

A machine learning-based chemoproteomic approach to identify drug targets and binding sites in complex proteomes.

Chemoproteomics is a key technology to characterize the mode of action of drugs, as it directly iden...

Linear versus deep learning methods for noisy speech separation for EEG-informed attention decoding.

OBJECTIVE: A hearing aid's noise reduction algorithm cannot infer to which speaker the user intends ...

Reinventing radiation therapy with machine learning and imaging bio-markers (radiomics): State-of-the-art, challenges and perspectives.

Radiation therapy is a pivotal cancer treatment that has significantly progressed over the last deca...

Empathetic application of machine learning may address appropriate utilization of ART.

The value of artificial intelligence to benefit infertile patients is a subject of debate. This pape...

The art of atom descriptor design.

This review provides an overview of descriptions of atoms applied to the understanding of phenomena ...

State-of-the-art of intelligent minimally invasive surgical robots.

A number of developed countries are rapidly turning into super-aged societies. Consequently, the dem...

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