COVID-19

Wetland dynamics in the Indus River Delta: A Sentinel-2 and machine learning approach.

Coastal wetlands of the Indus River Delta are vital ecological regions that have undergone significa...

Prediction of human pathogenic start loss variants based on self-supervised contrastive learning.

BACKGROUND: Start loss variants are a class of genetic variants that affect the bases of the start c...

Predicting COVID-19 severity in pediatric patients using machine learning: a comparative analysis of algorithms and ensemble methods.

COVID-19 has posed a significant global health challenge, affecting individuals across all age group...

Adenovirus Burden in Allogeneic Hematopoietic Stem Cell Transplantation: Monitoring Versus Symptoms-Based Testing-A Cost-Effectiveness Analysis.

BACKGROUND: Adenovirus infection (AdVi) causes significant morbidity and mortality in allogeneic hem...

LGD_Net: Capsule network with extreme learning machine for classification of lung diseases using CT scans.

Lung diseases (LGDs) are related to an extensive range of lung disorders, including pneumonia (PNEUM...

Fifty years of monoclonals: the past, present and future of antibody therapeutics.

In 1975, Köhler and Milstein invented hybridoma technology for the generation of murine monoclonal a...

Identification and experimental validation of mitochondrial and endoplasmic reticulum stress related gene in diabetic nephropathy.

Diabetic nephropathy (DN) is a kidney disease. Mitochondrial and endoplasmic reticulum stress (ERS) ...

Determination of high-confidence germline genetic variants in next-generation sequencing through machine learning models: an approach to reduce the burden of orthogonal confirmation.

Integrating Physics-Based Simulations with Data-Driven Deep Learning Represents a Robust Strategy for Developing Inhibitors Targeting the Main Protease.

The coronavirus main protease, essential for viral replication, is a well-validated antiviral target...

Socioeconomic impact of artificial intelligence-driven point-of-care testing devices for liquid biopsy in the OncoCheck system.

Cancer disparities in low- and middle-income countries (LMICs) persist because of socioeconomic ineq...

Predicting Subcutaneous Antibody Bioavailability Using Ensemble Protein Language Models.

Monoclonal antibodies are pivotal in modern therapeutics, yet predicting their subcutaneous bioavail...

PreMode predicts mode-of-action of missense variants by deep graph representation learning of protein sequence and structural context.

Accurate prediction of the functional impact of missense variants is important for disease gene disc...

A Deep Learning Model for Predicting the Cement Soil Deformation Modulus.

Cement, widely used for backfill grouting in shield tunnels, plays a crucial role in maintaining the...

Rational engineering of allosteric protein switches by in silico prediction of domain insertion sites.

Domain insertion engineering is a powerful approach to juxtapose otherwise separate biological funct...

Convolutional transform learning based fusion framework for scale invariant long term target detection and tracking in unmanned aerial vehicles.

Unmanned aerial vehicles (UAVs) become increasingly available devices with extensive usage as enviro...

Prediction of aggregation in monoclonal antibodies from molecular surface curvature.

Protein aggregation is one of the key challenges in the biopharmaceutical industry as its control is...

Development and Pilot Testing of an Artificial Intelligence and Care Coach Intervention for Cognitively Impaired Older Adults.

BACKGROUND: Care transitions from the emergency department (ED) to community settings are particular...

A successive framework for brain tumor interpretation using Yolo variants.

Accurate identification and segmentation of brain tumors in Magnetic Resonance Imaging (MRI) images ...

Deep learning-based real-time detection of head and neck tumors during radiation therapy.

Clinical drivers for real-time head and neck (H&N) tumor tracking during radiation therapy (RT) are ...

Influencing factors and dynamic changes of COVID-19 vaccine hesitancy in China: From the perspective of machine learning analysis.

Exploring the influencing factors of COVID-19 vaccine hesitancy and summarizing countermeasures is o...

Radiation enteritis associated with temporal sequencing of total neoadjuvant therapy in locally advanced rectal cancer: a preliminary study.

BACKGROUND: This study aimed to develop and validate a multi-temporal magnetic resonance imaging (MR...