Latest AI and machine learning research in genetics for healthcare professionals.
The SARS-CoV-2 pandemic saw multiple outbreaks occur over short periods. This was linked to the viru...
Preeclampsia originates in placental dysfunction yet it is detected only after maternal hypertension...
Lynch syndrome is the most common hereditary colorectal cancer syndrome, and colonoscopy remains the...
A major clinical challenge in metastatic cancer management is determining not only the presence of t...
Predicting the impact of protein residue mutations on thermal stability is critical for protein engi...
Currently, several new spatial transcriptomics(ST) technologies have attained cellular or even subce...
IMPORTANCE: Early identification of patients at high risk of relapse is key to personalized preventi...
Genetic biosensors represent a particularly promising class of bioengineered instruments designed to...
Rapid ABO discrepancy resolution is critical for transfusion safety. However, current short-read seq...
Characterizing noncoding variant function remains an important challenge in human genetics. Genomic ...
Cuproptosis and N6-methyladenosine (m6A) RNA methylation have been identified as significant factors...
BACKGROUND: To evaluate whether baseline multi-parametric MRI radiomics models, integrating multiple...
BACKGROUND: Renal fibrosis (RF) is a progressive and irreversible pathological process for which eff...
The adaptive immune receptor repertoire (AIRR), composed of T-cell receptors (TCRs) and B-cell recep...
Veterinary parasitic diseases remain a major threat to livestock production, companion animal health...
Engineering large genomic segments is rapidly expanding the scope of plant genome manipulation from ...
Tools for manipulating RNA that rely on nonhuman proteins, such as ISC-based and Cas-based scaffolds...
Long-read sequencing enables accurate analysis of complex and repetitive genomic regions but has dis...
Pattern electroretinography (PERG) is a non-invasive test of macular and retinal ganglion cell funct...
Semi-supervised learning (SSL) is a natural fit for genomics, where unlabeled sequences are abundant...
BACKGROUND: Immune-inflammatory dysregulation and cortical structural vulnerability have been increa...