Latest AI and machine learning research in practice management for healthcare professionals.
A visual object is characterized by multiple visual features, including its identity, position and s...
RNA-seq has been a powerful method to detect the differentially expressed genes/long non-coding RNAs...
Land-use control is local and highly varied. State agencies struggle to assess plan contents. Simila...
Elucidating functionality in non-coding regions is a key challenge in human genomics. It has been sh...
Pathology reports represent a primary source of information for cancer registries. Hospitals routine...
Exponential growth of biomedical literature and clinical data demands more robust yet precise comput...
Learning to synthesize free-hand sketches controllably according to specified categories and sketchi...
Both neurophysiological and psychophysical experiments have pointed out the crucial role of recurren...
Online physician review (OPR) websites have been increasingly used by healthcare consumers to make i...
How can we rethink 'rationality' in the wake of animal and artificial intelligence studies? Can nonh...
BACKGROUND: Secondary use of Electronic Health Records (EHRs) has mostly focused on health condition...
In contrast to the previous artificial neural networks (ANNs), spiking neural networks (SNNs) work b...
Nonnegative sparse representation has become a popular methodology in medical analysis and diagnosis...
The International Statistical Classification of Disease and Related Health Problems (ICD) is an inte...
Understanding the genetic regulatory code governing gene expression is an important challenge in mol...
Recent transformer-based pre-trained language models have become a de facto standard for many text c...
This work is aimed to study experimental and theoretical approaches for searching effective local tr...
About 50-80% of total energy is consumed by signaling in neural networks. A neural network consumes ...
Chronic intermittent hypoxia (CIH) is the primary feature of obstructive sleep apnoea (OSA), a cruci...
We aimed to assess the feasibility of machine learning (ML) algorithm design to predict proliferativ...
Small non-coding RNAs (ncRNAs) are short non-coding sequences involved in gene regulation in many bi...