Latest AI and machine learning research in covid-19 for healthcare professionals.
Tumor segmentation plays a critical role in histopathology, but it requires costly, fine-grained i...
The reliance on large labeled datasets presents a significant challenge in medical image segmentat...
Autonomous navigation is a fundamental task for robot vacuum cleaners in indoor environments. Sinc...
Rapid advancement of sequencing technologies now allows for the utilization of precise signals at si...
Accurate prediction of pathogenic variants in human disease-associated genes would have a profound e...
In post-genome-wide association study era, interpretation of noncoding variants remains a significan...
BACKGROUND: Multianalyte machine learning (ML) models can potentially identify previously undetectab...
Machine learning applications in protein sciences have ushered in a new era for designing molecule...
With growing demand in media and social networks for personalized images, the need for advanced he...
The development of therapeutic antibodies heavily relies on accurate predictions of how antigens w...
The organization of subcellular components in a cell is critical for its function and studying cellu...
Breast cancer affects millions globally, necessitating precise biomarker testing for effective treat...
Conflicting results from randomized trials regarding the efficacy of remdesivir for COVID-19 have be...
Feature attribution methods from explainable artificial intelligence (XAI) provide explanations of m...
Magnetic Resonance Imaging (MRI) Super-Resolution (SR) addresses the challenges such as long scan ...
While deep learning has significantly advanced medical image segmentation, most existing methods s...
Amyotrophic Lateral Sclerosis (ALS) constitutes a progressive neurodegenerative disease with varyi...
Vertical Federated Learning (VFL) enables collaborative training with feature-partitioned data, ye...
In the last years, especially since the COVID-19 pandemic, precision medicine platforms emerged as...
Depression is a mental disorder and can cause a variety of symptoms, including psychological, phys...
Point cloud upsampling aims to generate dense and uniformly distributed point sets from sparse poi...