Latest AI and machine learning research in genetics for healthcare professionals.
DNA-based storage offers exceptional information density, durability, and energy efficiency compared to conventional digital media, yet practical implementation faces challenges including high synthesis costs, sequencing errors, and slow access speeds. Here, we present an integrated DNA storage system with optimized encoding and processing strategies to address practical implementation issues. Our...
BACKGROUND: Uveal melanoma (UVM) is the most common intraocular malignancy in adults and exhibits poor prognosis upon metastasis. Stemness, a hallmark of cancer aggressiveness, remains understudied in UVM, especially in relation to pathology-derived features and therapeutic implications. METHODS: We integrated single-cell RNA sequencing (scRNA-seq), bulk transcriptomic data, and histopathological ...
Vancomycin is a critical glycopeptide antibiotic for treating severe infections caused by Gram-positive bacteria, particularly MRSA and Clostridioides...
The escalating drug-resistance of Klebsiella pneumoniae (K. pneumoniae), a leading cause of both community-acquired and nosocomial infections, poses a...
The rapid development of deep learning-based computational pathology and genomics has demonstrated the significant promise of effectively integrating ...
Accurate quality assessment is critical for computational prediction and design of RNA three-dimensional (3D) structures, yet it remains a significant...
High-dimensional genomic datasets often contain redundant, noisy, and sparse features that make accurate classification challenging for conventional d...
BACKGROUND: Endometrial carcinoma (UCEC) exhibits a rising incidence in China, imposing a substantial burden on both women and society. Identifying bi...
Chromosomal abnormality detection is a fundamental task in clinical genetics, as accurate identification of structural and numerical defects is essent...
Giant congenital melanocytic nevi (GCMN) are rare pigmented skin lesions present at birth that carry an increased risk of malignant melanoma and neuro...
BACKGROUND: Acute cellular rejection (ACR) remains a major cause of morbidity after heart transplantation despite advances in immunosuppression. Whole...
The transition from anaerobic to aerobic life was a pivotal adaptation in Earth's history, yet the timing and genomic drivers remain poorly resolved. ...
N6-methyladenosine (m6A) modification constitutes a crucial layer of post-transcriptional regulations, but the landscape of its downstream readout eff...
A growing number of diseases are now treated with immunotherapies, which consist of interventions that suppress or stimulate the patient's immune syst...
PURPOSE: Aging and metabolic syndrome (MetS) are intertwined risk factors for breast cancer (BC), but the core molecular nexus integrating these state...
PURPOSE: Preoperative assessment of pathologic complete response (pCR) to neoadjuvant therapy is an urgent need for anorectal preservation in patients...
BACKGROUND: Data on neoadjuvant treatment with trastuzumab biosimilars, particularly CT-P6, in combination with pertuzumab, are limited. This study ev...
MOTIVATION: Microbial communities consist of thousands of microorganisms and viruses and have a tight connection with an environment, such as gut micr...
Imbalanced small datasets are common scenarios in the field of machine learning for medical imaging, especially in real-world clinical applications. M...
INTRODUCTION: Artificial Intelligence (AI) is increasingly recognized as a transformative force in healthcare. In the field of rare diseases, AI can e...