Genetics

Turbocharging crop breeding with integrated biotechnology for a climate-resilient future.

Global agriculture faces unprecedented challenges from climate change and population growth, creatin...

Variant Calling in the Dark Genome: Benchmarking SNV Calls in the Flanks of Structural Variants.

Single nucleotide variant calling protocols routinely discard calls in the regions immediately flank...

Integrating multi-encoding sequence features via stacking ensemble learning for RNA m5C site prediction.

RNA 5-methylcytosine (m5C) is an important epitranscriptomic modification involved in RNA stability,...

Optimal treatment selection for hepatocellular carcinoma in the era of immunotherapy.

Immunotherapy has revolutionized hepatocellular carcinoma (HCC) management, necessitating personaliz...

Clinician-deployable deep hypergraph model integrating clinical and CT radiomics predicts immunotherapy outcomes in NSCLC.

Current image-based deep learning models that predict the benefits of immunotherapy in non-small cel...

Deciphering the molecular network of Trichostatin A in regulating Alzheimer's disease screening of core genes and mechanistic investigation based on multidimensional bioinformatics and molecular simulation.

BACKGROUND: Histone deacetylases (HDACs) regulate neuroprotection; however, Trichostatin A (TSA), an...

SOHO State of the Art Updates and Next Questions | Management of Primary Central Nervous System Lymphoma.

Primary Central Nervous System Lymphoma (PCNSL) is a rare and aggressive form of extranodal non-Hodg...

plasmaCHORD: A Machine Learning Approach to Distinguish Clonal Hematopoiesis-Derived Variants in Liquid Biopsies from Patients with Solid Tumors.

PURPOSE: Targeted next-generation sequencing (NGS) of cell-free DNA (cfDNA) enables comprehensive mo...

Clinical Machine Learning Model for Predicting Pathological Complete Response in Patients with Esophageal and Gastroesophageal Junction Adenocarcinoma After Trimodality Therapy.

BACKGROUND: Accurate prediction of pathological complete response (pCR) after preoperative chemoradi...

From Time-Limited Therapy to Treatment-Free Observation: The Evolving Role of MRD in CLL Management.

The integration of measurable residual disease (MRD) into the management of chronic lymphocytic leuk...

Advances in Oral Cavity Stem Cell Research Revealed through Multi-omics Analysis.

Oral stem cell research encompasses the study of dental pulp stem cells, periodontal ligament stem c...

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 ...

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 mechan...

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 canc...

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

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

Cranio-maxillofacial bone defects resulting from trauma, tumors, infection, or congenital malformati...

Medical digital twin insights: Enhancing cancer treatment through generative modeling.

Medical digital twins enhanced with generative modelling represent a revolutionary advancement in ca...

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 cross...

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 scop...

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 t...

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...