Latest AI and machine learning research in genetics for healthcare professionals.
Enhancers are DNA regions that are responsible for controlling the expression of genes. Enhancers ar...
The unique Swecrit Biobank and its associated clinical registries for sepsis, ARDS, cardiac arrest, ...
This paper addresses the crucial task of identifying DNA/RNA binding sites, which has implications i...
Heterogeneity in different genomic studies compromises the performance of machine learning models in...
Fast and accurate 3D RNA structure prediction remains a major challenge in structural biology, mostl...
MicroRNAs (miRNAs) play a crucial role in post-transcriptional gene regulation and have been implica...
BACKGROUND: Alzheimer's disease (AD) is an incurable, debilitating neurodegenerative disorder. Curre...
The identification of potential epigenetic targets for a known bioactive compound is essential and p...
Genome-wide association studies (GWAS) have identified genetic variations associated with adverse dr...
The development of next-generation sequencing (NGS) opens opportunities for new applications such as...
Generative artificial intelligence (AI) is a burgeoning field with widespread applications, includin...
Artificial Intelligence (AI)-enhanced histopathology presents unprecedented opportunities to benefit...
BACKGROUND: Listeria monocytogenes is a pathogenic bacterium that can lead to severe illnesses, espe...
Data obtained with the use of massive parallel sequencing (MPS) can be valuable in population geneti...
Artificial neural networks show promising performance in detecting correlations within data that are...
Spatial genetic variation is shaped in part by an organism's dispersal ability. We present a deep le...
Central nervous system tumours represent one of the most lethal cancer types, particularly among chi...
The integration of artificial intelligence technologies has propelled the progress of clinical and g...
Understanding protein function by deciphering 3D structure has distinct limitations. A recent study ...
Deep neural networks display impressive performance but suffer from limited interpretability. Biolog...
Breast cancer is a heterogeneous disease consisting of a diverse set of genomic mutations and clinic...