Nanobodies have emerged as powerful biorecognition elements in various fields, while thermostability is a key factor in practical application. Experimental screening remains costly and low throughput, while the scarcity of thermostability data poses ... read more
BACKGROUND: Opioids are a widely prescribed class of medication for pain management. However, they have variable efficacy and adverse effects among patients, due to the complex interplay between biological and clinical factors. Pharmacogenetic testin... read more
MOTIVATION: Automatic information extraction from biomedical texts requires machine learning methodology that can recognise biomedical entities, characterise inter-entity relationships, and relate extracted information to specific research topics. La... read more
Artificial intelligence (AI) holds great promise for advancing diagnostics and treatment in nuclear medicine. The rapid growth of AI over the past decade largely driven by advances in hardware components such as graphics processing units (GPUs) and t... read more
In the present work, a structural model for the protein-protein interface of bone marrow stromal cell antigen 2 (BST-2) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) open reading frame 7a (ORF7a) is predicted using multiscale molec... read more
Biomedical physics & engineering express
Jan 21, 2026
The rapid development of deep learning-based computational pathology and genomics has demonstrated the significant promise of effectively integrating whole slide images (WSIs) and genomic data for cancer survival prediction. However, the substantial ... read more
Biomedical physics & engineering express
Jan 21, 2026
Knee Osteoarthritis (KOA) is a prevalent degenerative joint disease affecting millions worldwide. Accurate classification of KOA severity is crucial for effective diagnosis and treatment planning. This study introduces a novel multiclassification alg... read more
Biomedical physics & engineering express
Jan 21, 2026
Low-Dose Computed Tomography (LDCT) reduces radiation risk but introduces high noise levels that compromises diagnostic quality. To address this, we propose a Hybrid Generalized Efficient Layer Aggregation Network-UNet (GELAN-UNet) model, which incor... read more
Patients with locally advanced non-small cell lung cancer (LA-NSCLC) exhibit heterogeneous prognoses despite receiving standard treatments, highlighting the need for more reliable prognostic biomarkers. This study aims to develop and validate OmicsMa... read more
Journal of physics. Condensed matter : an Institute of Physics journal
Jan 21, 2026
The v = 5/2 fractional quantum Hall (FQH) state, as a special single-layer system with an even-denominator filling factor, serves as a promising platform for exploring exotic topological phases. In this study, we employ principal component analysis (... read more
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