Latest AI and machine learning research in genetics for healthcare professionals.
BACKGROUND: Neoadjuvant therapy (NAT) is recommended for locally advanced gastric cancer (LAGC), but some patients respond poorly. We aimed to construct a multimodal model integrating CT images, transcriptomic sequencing, and clinicopathological data to assess prognosis in LAGC patients receiving NAT. MATERIALS AND METHODS: This multicenter study included 505 LAGC patients who underwent NAT. Radio...
INTRODUCTION: Thyroid cancer is the most common endocrine malignancy, and despite advances in understanding its genomic drivers, significant challenges remain in predicting tumor behavior, therapeutic response, and disease progression. This review summarizes advances in transcriptomic profiling and liquid biopsy approaches that are reshaping molecular classification, biomarker discovery, and preci...
Liquid biopsy holds immense potential for the early detection of cancer, yet its clinical utility is hindered not by the lack of available tumor-assoc...
Bacterial osteomyelitis remains a formidable challenge in clinic because existing monotherapies fail to block inevitable infection, uncontrolled infla...
BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) exhibits marked molecular heterogeneity and diverse clinical outcomes, partly influenced by ...
Bladder cancer (BC) exhibits profound molecular heterogeneity and a highly dynamic tumor microenvironment, posing major challenges for effective thera...
DNA methylation (DNAm) episignatures are stable disorder-specific epigenetic patterns that serve as valuable biomarkers for assessing variant pathogen...
BACKGROUND: Accurate preoperative distinction between uterine leiomyoma (UM) and uterine leiomyosarcoma (UMS) remains a major clinical challenge. Misc...
The emergence of KPC variants with altered substrate profiles poses a major challenge for β-lactam antibiotic therapy. KPC-14, which contains a double...
Microbiology laboratories play a critical role in the diagnosis and management of infectious diseases. However, recent advancements aimed at reducing ...
Genetic variation influences human physiology across biological scales from molecules to cells, tissues, organs and the whole organism. Unravelling ho...
Major depressive disorder (MDD) is a risk factor for neurodegeneration, yet its heterogeneity makes identifying at-risk subtype challenging. Notably, ...
This review highlights that integrating physiological, molecular, imaging, and AI-based approaches enables early and reliable detection of graft incom...
Deep learning has been increasingly applied to evolutionary genomics as genomic datasets have grown in scale and complexity. However, the literature e...
UNLABELLED: Hepatocellular carcinoma (HCC) remains a major global health burden with persistently high morbidity and mortality. Dysregulation of the t...
Genomic language models (gLMs) are rapidly becoming important tools for learning biological information directly from sequence data. By adapting conce...
Understanding causality is central to scientific discovery, importantly enabling the elucidation of mechanisms within complex systems. However, curren...
Artificial intelligence (AI) is rapidly becoming a core methodological pillar of molecular biology and precision medicine, and Africa is a uniquely co...
Hypertension is a hallmark of vascular aging; however, the epigenetic link between biological aging and blood pressure remains unclear. This epigenome...
INTRODUCTION: Biliary tract cancer (BTC) is a biologically heterogeneous and highly aggressive malignancy with limited therapeutic options and poor su...