Latest AI and machine learning research in genetics for healthcare professionals.
Classification of tumors in neuro-oncology today relies on molecular patterns (mostly DNA methylation) and their machine learning-supported interpretation. Understanding the process of algorithmic interpretation is essential for safe application in clinical routine. This is paradigmatically true for the most common primary intracranial tumor in adults, meningioma. Here, by applying multiomic profi...
Genomic Selection (GS) has revolutionised breeding programs by enabling the prediction of phenotypes based on genetic data. However, GS often only explains a portion of the phenotypic variation. This review paper explores the potential of integrating various data types beyond genomics to enhance the prediction ability of phenotypes. The paper categorises data integration strategies into five categ...
Myhre syndrome (MYHRS) is an ultra-rare, progressive multisystem disorder caused by recurrent heterozygous missense variants in the SMAD4 gene, a cent...
Elastin-like polypeptides (ELPs), inspired by the natural elasticity of human elastin, are rapidly evolving as next-generation platforms for precision...
BACKGROUND: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial pro...
With continuous progress of single-cell chromatin accessibility profiling techniques, scATAC-seq has become more commonly used in investigating regula...
Synthetic biology employs engineering principles to construct genetic circuits with customized functionality, empowering unprecedented control over bi...
Artificial intelligence (AI) has been used in many areas of medicine, and large language models (LLMs) have shown potential utility for various clinic...
Crop phenotyping of important agronomic traits in field conditions at single-plant resolution has long been a major bottleneck in both genetic analysi...
Recognition of protospacer adjacent motifs (PAMs) is crucial for target site recognition by CRISPR-Cas systems. In genome editing applications, the re...
DNA damage exhibits a strong correlation with gastric cancer (GC). However, there is still a paucity of comprehensive, in-depth investigations into th...
The scarcity of reliable biomarkers and predictive models for platinum resistance in lung adenocarcinoma (LUAD) poses a significant clinical challenge...
Drought stress is among the most critical threats to global food security, and its complex impact on plant physiology often exceeds the reach of tradi...
The large amount of data collected through automatic milking systems (AMS) may be used for early detection of intramammary infections and become instr...
BACKGROUND: Pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) is a critical prognostic marker in breast cancer, yet its predictio...
Genetic ancestry refers to an individual's biogeographical origins inferred from correlated allele frequencies shared with individuals from similar an...
In the last decades, critical advancements in research technology and knowledge on disease mechanisms steered therapeutic approaches for chronic infla...
Differential methylation is a key epigenetic process contributing to cancer development. Most DNA methylation prediction methods rely on DNA sequences...
OBJECTIVE: Idiopathic inflammatory myopathy (IIM) is a collection of autoimmune disorders marked by muscle inflammation, with heart failure (HF) being...
Kinship verification aims to determine whether two individuals share a familial relationship based on facial information. Cross-gender relationships (...