Infectious Disease

COVID-19

Latest AI and machine learning research in covid-19 for healthcare professionals.

6,294 articles
Stay Ahead - Weekly COVID-19 research updates
Subscribe
Browse Specialties
Showing 337-357 of 6,294 articles
Dataset of compression after impact testing on carbon fiber reinforced plastic laminates.

This dataset covers the data obtained from the compression after impact (CAI) tests. Before the CAI ...

Critical scenarios adversarial generation method for intelligent vehicles testing based on hierarchical reinforcement architecture.

The widespread deployment of intelligent vehicles necessitates comprehensive testing across diverse ...

Multi-modal MRI synthesis with conditional latent diffusion models for data augmentation in tumor segmentation.

Multimodality is often necessary for improving object segmentation tasks, especially in the case of ...

FaciaVox: A diverse multimodal biometric dataset of facial images and voice recordings.

FaciaVox is a multimodal biometric dataset that consists of face images and voice recordings under b...

Flip Learning: Weakly supervised erase to segment nodules in breast ultrasound.

Accurate segmentation of nodules in both 2D breast ultrasound (BUS) and 3D automated breast ultrasou...

Development and validation of a machine learning-based nomogram for predicting prognosis in lung cancer patients with malignant pleural effusion.

Malignant pleural effusion (MPE) is a common complication in patients with advanced lung cancer, sig...

Automatic detection and extraction of key resources from tables in biomedical papers.

BACKGROUND: Tables are useful information artifacts that allow easy detection of missing data and ha...

Reducing hepatitis C diagnostic disparities with a fully automated deep learning-enabled microfluidic system for HCV antigen detection.

Viral hepatitis remains a major global health issue, with chronic hepatitis B (HBV) and hepatitis C ...

Predicting coronavirus disease 2019 severity using explainable artificial intelligence techniques.

Predictive models for determining coronavirus disease 2019 (COVID-19) severity have been established...

Forecasting stock prices using long short-term memory involving attention approach: An application of stock exchange industry.

The Stability of the economy is always a great challenge across the world, especially in under devel...

Preoperative Assessment of Ki-67 Labeling Index in Pituitary Adenomas Using Delta-Radiomics Based on Dynamic Contrast-Enhanced MRI.

BACKGROUND: Ki-67 labeling index (Ki-67 LI) is a proliferation marker that is correlated with aggres...

Current experimental, statistical, and mechanistic approaches to optimizing biomolecule separations in aqueous two-phase systems.

Aqueous two-phase systems (ATPS) have been used to purify a range of biomolecules, including small m...

Enhancing Relation Extraction for COVID-19 Vaccine Shot-Adverse Event Associations with Large Language Models.

OBJECTIVE: The rapid evolution of the COVID-19 virus has led to the development of different vaccine...

Establishment and validation of a ResNet-based radiomics model for predicting prognosis in cervical spinal cord injury patients.

Cervical spinal cord injury (cSCI) poses a significant challenge due to the unpredictable nature of ...

Prediction of prostate biopsy outcomes at different cut-offs of prostate-specific antigen using machine learning: a multicenter study.

BACKGROUND: Machine learning (ML) is a significant area of artificial intelligence, which can improv...

A novel seven-tier framework for the classification of MEFV missense variants using adaptive and rigid classifiers.

There is a great discrepancy between the clinical categorization of MEFV gene variants and in silico...

Emerging rapid detection methods for the monitoring of cardiovascular diseases: Current trends and future perspectives.

Cardiovascular diseases (CVDs) persist as the foremost cause of global mortality, necessitating adva...

Automatic pre-screening of outdoor airborne microplastics in micrographs using deep learning.

Airborne microplastics (AMPs) are prevalent in both indoor and outdoor environments, posing potentia...

Deep learning prioritizes cancer mutations that alter protein nucleocytoplasmic shuttling to drive tumorigenesis.

Genetic variants can affect protein function by driving aberrant subcellular localization. However, ...

Browse Specialties