HIV/AIDS

Technology in Medicine: Improving Clinical Documentation.

The association between electronic health record (EHR) documentation and physician burnout is well-k...

CADD v1.7: using protein language models, regulatory CNNs and other nucleotide-level scores to improve genome-wide variant predictions.

Machine Learning-based scoring and classification of genetic variants aids the assessment of clinica...

ViralZone 2024 provides higher-resolution images and advanced virus-specific resources.

ViralZone (http://viralzone.expasy.org) is a knowledge repository for viruses that links biological ...

Artificial Intelligence and Family Medicine.

Artificial intelligence (AI) is certainly going to have a large, potentially huge, impact on the pra...

Machine learning-based prediction of cerebral oxygen saturation based on multi-modal cerebral oximetry data.

This study develops machine learning-based algorithms that facilitate accurate prediction of cerebra...

Multimodality Risk Assessment of Patients with Ischemic Heart Disease Using Deep Learning Models Applied to Electrocardiograms and Chest X-rays.

Comprehensive management approaches for patients with ischemic heart disease (IHD) are important aid...

Solubility of dapsone in deep eutectic solvents: Experimental analysis, molecular insights and machine learning predictions.

BACKGROUND: Dapsone (DAP) is an anti-inflammatory and antimicrobial active pharmaceutical ingredient...

ProsperousPlus: a one-stop and comprehensive platform for accurate protease-specific substrate cleavage prediction and machine-learning model construction.

Proteases contribute to a broad spectrum of cellular functions. Given a relatively limited amount of...

Efficacy and Tolerability of Tenofovir/Lamivudine/Dolutegravir among Antiretroviral Therapy Naive Human Immunodeficiency Virus Infected Patients of a Tertiary Care Center in Eastern India.

BACKGROUND: Although many drug regimens have been used in the treatment of human immunodeficiency vi...

Musculoskeletal CT Imaging: State-of-the-Art Advancements and Future Directions.

CT is one of the most widely used modalities for musculoskeletal imaging. Recent advancements in the...

Deep Learning Empowered Fresnel-based Lensless Fluorescence Microscopy.

Miniaturized fluorescence microscopy has revolutionized the way neuroscientists study the brain in-v...

COPPER: an ensemble deep-learning approach for identifying exclusive virus-derived small interfering RNAs in plants.

Antiviral defenses are one of the significant roles of RNA interference (RNAi) in plants. It has bee...

State-of-the-art Application of Artificial Intelligence to Transporter-centered Functional and Pharmaceutical Research.

Protein transporters not only have essential functions in regulating the transport of endogenous sub...

[Method to Generate Complex Predictive Features for Machine Learning-Based Prediction of the Local Structure and Functions of Proteins].

Recently, prediction of the structure and function of a protein from its sequence underwent a rapid ...

The Impact of Dental Artificial Intelligence for Radiograph Analysis.

Dental artificial intelligence (AI) software can analyze and annotate radiographs in near real-time,...

Computer Aided Reverse Vaccinology: A Game-changer Approach for Vaccine Development.

One of the most dynamic approaches in biotechnology is reverse vaccinology, which plays a huge role ...

A deep learning solution to the marginal stability problems of acoustic feedback systems for hearing aids.

For hearing aids, it is critical to reduce the acoustic coupling between the receiver and microphone...

Current state of the art and recommendations in robotic mitral valve surgery.

Past, Present, and Future of Machine Learning and Artificial Intelligence for Breast Cancer Screening.

Breast cancer screening has evolved substantially over the past few decades because of advancements ...

Robotic, self-propelled, self-steerable, and disposable colonoscopes: Reality or pipe dream? A state of the art review.

Robotic colonoscopes could potentially provide a comfortable, less painful and safer alternative to ...

Prediction of HIV sensitivity to monoclonal antibodies using aminoacid sequences and deep learning.

MOTIVATION: Knowing the sensitivity of a viral strain versus a monoclonal antibody is of interest fo...