Latest AI and machine learning research in genetics for healthcare professionals.
Crop domestication has induced a severe genetic bottleneck that reduces the adaptive diversity present in modern cultivars. Standard intra-population genomic prediction models reliant on linear reference genomes and SNPs fail to capture the full spectrum of phenotypic variance hidden in wild relatives. Realizing this potential requires broadening the predictive paradigm from selection within narro...
Lung adenocarcinoma (LUAD), the most common lung cancer subtype, exhibits a poor prognosis. Although mitotic catastrophe can be induced in LUAD, leading to cell death, the prognostic and biological significance of mitotic catastrophe-related genes (MCRGs) in this disease remains unclear. Differentially expressed genes (DEGs) associated with LUAD were screened from the TCGA-LUAD cohort, and overlap...
The terminology "Biobank" is used for the organized collection of biological materials consisting of tissue samples, blood, serum, body fluids, and DN...
BACKGROUND: Climate change poses a growing threat to chickpea production through abiotic stresses such as drought, heat, and salinity. Understanding t...
Artificial intelligence (AI)-based protein structure prediction has rapidly entered nephrology, providing plausible atomic models for channels, transp...
Hematopoietic stem cells (HSCs) constitute an organized hematopoietic system that undergoes age-related alterations, including increased platelet prod...
BACKGROUND & AIMS: Cholangiocarcinoma (CCA) is a major complication of primary sclerosing cholangitis (PSC), with a 20-year incidence of ∼15%. Early d...
This study aimed to identify novel biomarkers of atopic dermatitis (AD) and investigate their pathogenic mechanisms. We analyzed 7 AD-related datasets...
PURPOSE: The purpose of this study was to evaluate and compare four AI software programs-ChatGPT-5, Microsoft Copilot, Google Gemini (V 2.5), and Open...
Triple-negative breast cancer (TNBC) represents one of the most aggressive and therapeutically challenging subtypes of breast cancer, characterized by...
RNA splicing expands the functional output of eukaryotic genomes by enabling individual precursor messenger RNA (pre-mRNA) to generate multiple mature...
BACKGROUND: Predicting RNA splicing from genomic sequence is a crucial task for understanding gene regulation and interpreting genetic variation. Rece...
BACKGROUND: This study aimed to develop a single-photon emission computed tomography/computed tomography (SPECT/CT)-based radiomics model using bone m...
Clinical symptoms are critical for diagnosing and managing upper respiratory tract infections, yet systematic comparisons across common pathogens rema...
Efficient acquisition of spatial airflow information is vital for organisms to orient within complex environments and detect predators. For scorpions ...
Subject-specific finite element analysis (FEA) can estimate tissue-level stress, strain, contact pressure, and load transfer in the knee, but building...
Advanced gene editing tools have transformed oncology by facilitating precise molecular therapies aimed at the hereditary basis of cancer. This thorou...
Automated deep learning-based segmentation is increasingly used in medical imaging to enable rapid biomarker extraction. Manual quality control (QC) o...
OBJECTIVES: To explore the molecular mechanisms and key pharmacodynamic basis of Baishao for alleviating cancer-related fatigue (CRF) during chemother...
Neoadjuvant immunotherapy is reshaping the treatment landscape of locally advanced gastric cancer (GC). The central clinical challenge has expanded fr...