Latest AI and machine learning research in genetics for healthcare professionals.
BACKGROUND: Though droplet digital PCR (ddPCR) has emerged as a promising tool for early pathogen de...
Deep learning classification models based on Convolutional Neural Networks (CNNs) are increasingly u...
Butterfly wing patterns exhibit notable differences between the dorsal and ventral surfaces, and mor...
The present study aimed to assess spp. infection in 17 captive black-faced black spider monkeys (),...
BACKGROUND: The rising incidence of breast cancer and its heterogeneity necessitate precise tools fo...
Artificial intelligence (AI) has been growing more powerful and accessible, and will increasingly im...
Hemangiosarcoma is a highly malignant tumor commonly affecting canines, originating from endothelial...
The connection between metabolic reprogramming and tumor progression has been demonstrated in an inc...
Mitophagy, the selective degradation of mitochondria by autophagy, plays a crucial role in cancer pr...
This study evaluated the performance of a deep-learning-based model that predicted cooking loss in t...
Colorectal cancer (CRC) is one of the top three most lethal malignancies worldwide, posing a signifi...
Predicting the outcome of antiretroviral therapies (ART) for HIV-1 is a pressing clinical challenge,...
This research aimed to identify novel indicators for sepsis by analyzing RNA sequencing data from pe...
Non-small cell lung adenocarcinoma (LUAD) is a markedly heterogeneous disease, with its underlying m...
Complex deep learning models trained on very large datasets have become key enabling tools for curre...
Transfer learning aims to integrate useful information from multi-source datasets to improve the lea...
Artificial intelligence (AI) is rapidly advancing our ability to identify and interpret genetic vari...
Artificially synthesized DNA holds significant promise in addressing fundamental biochemical questio...
BACKGROUND: Dabigatran etexilate (DABE), a prodrug of dabigatran (DAB), is a direct thrombin inhibit...
With the development of deep learning (DL) techniques, there has been a successful application of th...
Inferring the ancestral origin of DNA evidence recovered from crime scenes is crucial in forensic in...