Latest AI and machine learning research in genetics for healthcare professionals.
DNA G-quadruplexes are known to play myriad functional roles in the cellular context and their struc...
The cross-species transmission of influenza viruses represents a critical link in the pandemic of zo...
The DNA binding of most Escherichia coli Transcription Factors (TFs) has not been comprehensively ma...
Several arthropod-borne (arbo)-viruses have overlapping symptoms, insect vectors and geographical oc...
Large Language Models (LLMs) have shown remarkable potential in various fields. This study explores ...
Facial morphology is a distinctive biometric marker, offering invaluable insights into personal iden...
BACKGROUND: Predicting protein-DNA binding sites in vivo is a challenging but urgent task in many fi...
Wastewater Based Epidemiology (WBE) has been identified as a tool for monitoring and predicting patt...
Head and neck squamous cell carcinoma (HNSCC) is a highly aggressive malignancy with complex molecul...
Chemotherapy is one of the most successful strategies for treating cancer. Unfortunately, up to 70 %...
Migraine has an assumed polygenic basis, but the genetic risk variants identified in genome-wide ass...
Artificial intelligence (AI) has emerged as a transformative tool in healthcare through data analysi...
Biomanufacturing stands as a cornerstone of sustainable industrial development, necessitating a shif...
Enhancers are short DNA fragments that enhance gene expression by binding to transcription factors. ...
OBJECTIVES: Early prediction of critical COVID-19 disease is crucial for an optimal clinical managem...
Most microbiota determination (skin, gut, soil, etc.) are currently conducted in a laboratory using ...
BACKGROUND: Artificial intelligence (AI)-based imaging analysis and circulating tumor-associated DNA...
The mutation status of isocitrate dehydrogenase1 (IDH1) in glioma is critical information for the di...
RNA is a remarkably versatile molecule that has been engineered for applications in therapeutics, di...
In this study, we developed a digital twin for SARS-CoV-2 by integrating diverse data and metadata w...
BACKGROUND: Sensitive molecular detection of hepatitis B virus (HBV) DNA is crucial for diagnosing a...