Latest AI and machine learning research in genetics for healthcare professionals.
BACKGROUND AND OBJECTIVE: Reliable detection of robust biomarkers from high-dimensional transcriptomic data remains a major challenge in computational oncology. Traditional approaches often suffer from overfitting and poor generalization due to the high dimensionality of genomic data and limited sample sizes. This study aims to identify an optimal, biologically meaningful subset of mRNA biomarkers...
The tumor suppressor p53 regulates transcription in response to cellular stress, with mutations in its DNA-binding domain (DBD) found in most human cancers. The L1 loop within the DBD is believed to play a critical role in DNA recognition, yet its conformational dynamics remain poorly understood. Using enhanced molecular dynamics simulations combined with machine learning-derived collective variab...
AIMS: Lipoprotein(a) [Lp(a)] is an inherited cardiovascular risk factor. However, its association with coronary plaque characteristics beyond traditio...
Circulating cell-free DNA (cfDNA) has firmly established itself as a cornerstone of liquid biopsy, advancing the noninvasive diagnosis and monitoring ...
Sperm DNA fragmentation is a recognized factor in male infertility with direct implications for embryo development, implantation and pregnancy outcome...
Knowledge distillation (KD) is an effective strategy to transfer learned representations from a pre-trained teacher model to a smaller student model. ...
Coronary atherosclerosis is a leading cause of morbidity and mortality worldwide and is characterized by complex molecular and cellular mechanisms inv...
Breast cancer is the leading cause of cancer-related deaths among women worldwide. It is standard practice for patients to undergo a sentinel lymph no...
A common task in forensic biology is to interpret and evaluate short tandem repeat DNA profiles. The first step in these interpretations is to assign ...
Proteins that impact phenotype and disease are often approximated by RNA expression, which poorly infers protein abundance. We developed DeepGxP, a de...
BACKGROUND: Brucellosis remains a major zoonotic threat worldwide, and early diagnosis is challenging due to nonspecific symptoms and complex immune e...
BACKGROUND: The complex and heterogeneous molecular mechanisms of asthma are currently unclear, and treatment outcomes are dismal in some patients. Th...
UNLABELLED: Next-generation sequencing is anticipated to transform infectious disease treatment by enabling faster diagnosis, yet a clinical-grade met...
Promoters are essential in transcriptional regulation, with the -10 and -35 boxes playing a critical role in determining their strength. Modulating th...
We benchmark exchange-correlation functionals for the calculation of fundamental band gaps of inorganic nitrides. These include conventional functiona...
Bacterial fructan-metabolizing enzymes exhibit substantial structural and mechanistic diversity to support their biotechnological uses. Recent finding...
CRISPR-Cas systems are transformative tools for gene editing that can be tuned or controlled by anti-CRISPRs (Acrs)-phage-derived inhibitors that regu...
Spiking neural membrane systems (SNP systems) are distributed parallel computing models inspired by neuronal spike mechanisms. Traditional SNP systems...
Angioimmunoblastic T-cell lymphoma (AITL) is an aggressive peripheral T-cell lymphoma with a poor prognosis. Lymphomatous serous effusion, defined as ...
The interplay between the commensal microbiota and the mammalian immune system may influence the outcomes of T cell-driven cancer immunotherapies. How...