Infectious Disease

HIV/AIDS

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

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ABTCN: an efficient hybrid deep learning approach for atmospheric temperature prediction.

Temperature prediction is an important and significant step for monitoring global warming and the en...

Augmented Reality (AR) for Surgical Robotic and Autonomous Systems: State of the Art, Challenges, and Solutions.

Despite the substantial progress achieved in the development and integration of augmented reality (A...

Surgical Robotics for Intracerebral Hemorrhage Treatment: State of the Art and Future Directions.

Intracerebral hemorrhage (ICH) is a stroke subtype with high mortality and disability, and there are...

Humans versus AI: whether and why we prefer human-created compared to AI-created artwork.

With the recent proliferation of advanced artificial intelligence (AI) models capable of mimicking h...

Supervised learning and model analysis with compositional data.

Supervised learning, such as regression and classification, is an essential tool for analyzing moder...

DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization.

Since 2016, we have witnessed the tremendous growth of artificial intelligence+visualization (AI+VIS...

Chapter 7: Technological Aids and Coronal Caries.

In recent decades, dentistry has developed significantly in all areas. While in the past, caries was...

Discovery of a Novel DCAF1 Ligand Using a Drug-Target Interaction Prediction Model: Generalizing Machine Learning to New Drug Targets.

DCAF1 functions as a substrate recruitment subunit for the RING-type CRL4 and the HECT family EDVP E...

State-of-the-Art Deep Learning Methods for Objects Detection in Remote Sensing Satellite Images.

Object detection in remotely sensed satellite images is critical to socio-economic, bio-physical, a...

Deep Learning Methods for Identification of White Matter Fiber Tracts: Review of State-of-the-Art and Future Prospective.

Quantitative analysis of white matter fiber tracts from diffusion Magnetic Resonance Imaging (dMRI) ...

Infection diagnosis in hydrocephalus CT images: a domain enriched attention learning approach.

. Hydrocephalus is the leading indication for pediatric neurosurgical care worldwide. Identification...

Predicting the antigenic evolution of SARS-COV-2 with deep learning.

The relentless evolution of SARS-CoV-2 poses a significant threat to public health, as it adapts to ...

HLA-II immunopeptidome profiling and deep learning reveal features of antigenicity to inform antigen discovery.

CD4+ T cell responses are exquisitely antigen specific and directed toward peptide epitopes displaye...

A Machine Learning Model Ensemble for Mixed Power Load Forecasting across Multiple Time Horizons.

The increasing penetration of renewable energy sources tends to redirect the power systems community...

Rule ensemble method with adaptive group lasso for heterogeneous treatment effect estimation.

The increasing scientific attention given to precision medicine based on real-world data has led to ...

Real-time construction demolition waste detection using state-of-the-art deep learning methods; single-stage vs two-stage detectors.

Central to the development of a successful waste sorting robot lies an accurate and fast object dete...

3D printed biomedical devices and their applications: A review on state-of-the-art technologies, existing challenges, and future perspectives.

3D printing, also known as Additive manufacturing (AM), has emerged as a transformative technology w...

Machine learning and classical MD simulation to identify inhibitors against the P37 envelope protein of monkeypox virus.

Monkeypox virus (MPXV) outbreak is a serious public health concern that requires international atten...

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