COVID-19

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 flanking structural variants (often 50 bp either side) because it is technically challenging to call them accurately. Although there are undoubtedly true variants of interest in these regions, many remain hidden as they are considered too difficult to distinguish from false positive calls. Nevertheless, ...

AraBLA: cross-layer enhanced AraBERT with BiLSTM and attention for Arabic fake news detection.

The rapid growth of misinformation in Arabic digital media has created an urgent need for more accurate detection systems. Many existing approaches, whether based on traditional machine learning or transformer-based models, struggle with the linguistic complexity of Arabic and the variability of news sources. To address this challenge, we propose Arabic BERT with Layer-wise BiLSTM and attention (A...

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 molecular profiling and can guide the selection of g...

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 chemoradiation therapy, followed by surgery (trimodality th...

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 leukemia (CLL) has emerged as a major advance in risk ...

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 h...

Multi-modal feature learning to prioritize ADCs with favorable half-life in mice.

Favorable pharmacokinetic (PK) properties of antibody-drug conjugates (ADCs) enable higher systemic exposure and are associated with improved clinical...

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 ...

Artificial intelligence-assisted technology to reduce turnaround time for rapid diagnosis of infectious diseases.

BACKGROUND: Quantitative polymerase chain reaction (qPCR) is a fundamental tool for disease detection; however, the relatively large number of amplifi...

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 unconfined compressive strength of geopolymer-stabilized clays using a sector fruit fly-based extreme learning machine.

UNLABELLED: Accurate prediction of the unconfined compressive strength (UCS) of geopolymer-stabilized clayey soil is critical for geotechnical enginee...

Spatial proteomics of tertiary lymphoid structures reveals correlation with immunotherapy response in Merkel cell carcinoma.

BACKGROUND: Tertiary lymphoid structures (TLS) are ectopic lymphoid formations within or around tumours. They are emerging as important predictors of ...

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 ...

NetMHCIIphosPan: A Machine Learning Tool for Predicting HLA Class II Antigen Presentation of Phosphorylated Peptides.

Phosphorylated peptides presented by human leukocyte antigen (HLA) class II molecules play pivotal roles in immune regulation, yet their characterizat...

A Hybrid Approach for Differentiating Fibrotic Hypersensitivity Pneumonitis and Idiopathic Pulmonary Fibrosis: Deep Feature Extraction and Machine Learning.

In patients over 60 years of age who are male, non-smokers, and in whom no organic antigen is identified in the history, differentiating fibrotic hype...

Hybrid feature-selection and diversity-guided stacking framework for interpretable ensemble learning: Application to COVID-19 mortality prediction.

BACKGROUND: Reliable predictive modeling in high-dimensional biomedical data requires a balance between accuracy, interpretability, and computational ...

Enhancing generalizability in classification of peripheral neural recordings with graph neural network.

The peripheral nervous system plays a crucial role in facilitating communication between biological systems. However, decoding neural signals from per...

Transformer-based multi-agent traffic simulation for autonomous vehicle testing in shared urban road segments.

Microscopic traffic simulation plays a crucial role in the development and testing of autonomous driving systems. However, accurately reproducing traf...

Bridging In Silico Design and Experimental Validation: Virtual Screening and In Vitro Assessment of Biomimetic Anticancer Peptides Inspired by Horseshoe Crab Hemolymph Proteins.

BACKGROUND: Colorectal cancer (CRC) remains a leading cause of cancer-related mortality, necessitating the development of more selective and safer the...