Genetics

Chicken disease detection and localization using multi-noise separation and acoustic recognition.

Early detection and prevention of chicken disease are crucial for the sustainability of the poultry industry. However, early identification is often hindered by environmental noise and disease-specific acoustic feature extraction. This study proposes a method for detecting and localization of chicken disease using multi-noise separation and acoustic recognition. A standardized acoustic dataset, in...

Single-cell sequencing and machine learning-based prediction of spliceosome-associated factor 2 may represent potential targets for osteoarthritis.

BACKGROUND: Osteoarthritis has become a global health challenge due to its complex pathologic mechanisms. Spliceosome-associated factor 2 (SYF2) has been reported in tumors and neurological diseases, but not in studies of osteoarthritis. We employed single-cell sequencing and machine learning techniques to predict SYF2 as a potential therapeutic target for osteoarthritis and the underlying mechani...

A noninvasive urinary microRNA-based assay for early detection of lung cancer and its potential application to prognosis and recurrence monitoring: a case-control study.

Lung cancer remains the leading cause of cancer-related mortality worldwide, with recurrence or cancer-related death occurring even after curative-int...

Machine learning-based models for tumor mutation burden prediction in gastrointestinal cancers: a systematic review and meta-analysis.

The B7 family subgroup reflects tumor cell heterogeneity and patient post-operative prognosis in gallbladder cancer.

PURPOSE: To elucidate the biological heterogeneity of gallbladder cancer (GBC) cells and refine post-operative risk stratification by investigating th...

[Advances in oral and craniofacial bone regeneration modulated by stem cells and biomaterials].

Cranio-maxillofacial bone defects resulting from trauma, tumors, infection, or congenital malformations not only severely impair patients' physiologic...

Beyond chemotherapy: The rise of nucleic acid nanoformulations in personalized lung cancer therapy.

Lung cancer remains the leading cause of cancer-related mortality worldwide, driven by complex crosstalk among genetic, molecular, and environmental f...

Large-scale human genomic resources drive innovations toward forensic intelligent source attribution and precision identification.

Large-scale human genomic initiatives and advances in sequencing technologies have expanded the scope and detail of forensic genetics. Deeply sampled ...

Identifying neuroimaging-based biomarkers for obsessive-compulsive disorder: A resting-state fMRI and machine learning study in patients and unaffected first-degree relatives.

BACKGROUND: Identifying whether brain alterations in obsessive-compulsive disorder (OCD) represent the illness itself or an underlying genetic vulnera...

BloomSight: An ultra-high-frequency phenotyping framework for diurnal flowering dynamics in japonica and indica rice to enable genetic dissection and hybrid-breeding applications.

Rice (Oryza sativa) production underpins food security in many rice-consuming nations. As a critical developmental transition that directly determines...

Novel therapeutic strategies for metastatic castration‑resistant prostate cancer: Beyond androgen receptor pathway inhibition (Review).

Metastatic castration‑resistant prostate cancer (mCRPC) remains a lethal disease due to universal resistance to androgen‑receptor pathway inhibitors (...

Predicting protein-nucleic acid interactions via protein language models with biophysical and evolutionary priors.

Protein interactions with nucleic acids are fundamental to numerous biological processes. Here, we present PNABPred, a multi-modal framework that inte...

A network-based deep learning model integrating subclonal architecture for therapy response prediction in cancer.

Predicting treatment response remains challenging in oncology, particularly given the growing diversity of therapeutic options. Despite efforts using ...

Unlocking non-model organisms with CRISPR-Cas: A roadmap for sustainable biotechnology.

The reliance on model organisms in biotechnology has advanced our understanding of fundamental biology but has failed to capture the complexity of rea...

Examining Genetic Variants Associated with FOXP1 Syndrome through Molecular Dynamics of Its DNA-Binding Domain and Self-Organizing Maps.

Genetic mutations in the transcription factor FOXP1 (forkhead box protein P1) cause an autosomal dominant neurodevelopmental disorder called FOXP1 syn...

Advances in HLA and Non-HLA Immune Profiling: Integrating Next-Generation Sequencing and Artificial Intelligence in Transplantation.

Understanding transplantation outcomes requires an integrated view of immunological, genetic, and clinical determinants that collectively shape graft ...

Leveraging long-read assemblies and machine learning to enhance short-read transposable element detection and genotyping.

Transposable elements (TEs) are parasitic genomic elements that are ubiquitous across the tree of life and play a crucial role in genome evolution. Ad...

Integrating Sperm Microscopy, Environmental Exposures, and Lifestyle Factors for Male Fertility Analysis: Protocol for the Nippon Semen and Environmental Exposure Database (N-SEED) Cross-Sectional Study.

BACKGROUND: Conventional semen analysis does not fully capture male reproductive potential. The sperm DNA fragmentation index (DFI) may detect latent ...

Tools and tactics for studying alternative splicing.

Alternative splicing generates transcriptomic diversity essential for cellular homeostasis, and its dysregulation contributes to diseases ranging from...

Novel biomarkers and multi-omics approaches for diagnosis and management of ulcerative colitis.

BACKGROUND: Ulcerative colitis (UC) remains challenging to diagnose, monitor, and treat due to heterogeneous disease presentation and lack of reliable...