Latest AI and machine learning research in genetics for healthcare professionals.
Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a complex and multifaceted disorder t...
BACKGROUND: Senescence classification is an acknowledged challenge within the field, as markers are ...
BACKGROUND: Type 2 Diabetes Mellitus (T2DM) represents a major global health challenge, marked by ch...
BACKGROUND: The rising incidence of breast cancer and its heterogeneity necessitate precise tools fo...
Anaerobic digestion (AD), which relies on a complex microbial consortium for efficient biogas genera...
Artificial intelligence (AI) has been growing more powerful and accessible, and will increasingly im...
BACKGROUND: Convolutional neural networks have excellent modeling abilities to complex large-scale d...
Hemangiosarcoma is a highly malignant tumor commonly affecting canines, originating from endothelial...
Ulcerative colitis (UC) is a chronic gastrointestinal inflammatory disorder with rising prevalence. ...
BACKGROUND: Machine learning (ML) integration of clinical, metabolite, and genetic data reveals vari...
Mitophagy, the selective degradation of mitochondria by autophagy, plays a crucial role in cancer pr...
The connection between metabolic reprogramming and tumor progression has been demonstrated in an inc...
The Homo sapiens Chromosomal Location Ontology (HSCLO) is designed to facilitate the integration of ...
Colorectal cancer (CRC) is one of the top three most lethal malignancies worldwide, posing a signifi...
This study evaluated the performance of a deep-learning-based model that predicted cooking loss in t...
Predicting the outcome of antiretroviral therapies (ART) for HIV-1 is a pressing clinical challenge,...
Non-small cell lung adenocarcinoma (LUAD) is a markedly heterogeneous disease, with its underlying m...
This research aimed to identify novel indicators for sepsis by analyzing RNA sequencing data from pe...
Transfer learning aims to integrate useful information from multi-source datasets to improve the lea...
Complex deep learning models trained on very large datasets have become key enabling tools for curre...
Artificial intelligence (AI) is rapidly advancing our ability to identify and interpret genetic vari...