The patient-centered medical home model has become a cornerstone for primary care delivery with over 13,000 recognized practices nationwide. However, the model still faces significant barriers including increases in data and administrative tasks and ... read more
A major challenge in single-cell RNA sequencing (scRNA-seq) analysis is recovering biologically meaningful cell ontology trees and conserved gene modules across datasets. Data integration and batch-effect correction methods have enabled effective ana... read more
Cone-Beam Computed Tomography (CBCT) scans were retrospectively collected and examined to acquire a balanced dataset representative of Normal Maxillary Sinus (NMS), Maxillary Sinusitis of Endodontic origin (MSEO), and Maxillary Sinusitis of Non-Endod... read more
In many viruses, intrinsically disordered proteins (IDPs) drive the formation of replicative organelles via liquid-liquid phase separation (LLPS). In species A rotaviruses, the disordered protein NSP5 forms condensates with NSP2, but its high sequenc... read more
Rapidly urbanising South Asian cities face increasing thermal risk, but comparative, physically grounded studies of their structural capacity to withstand heat loading are rare. We utilize a stacked ensemble of five machine learning architectures (Ra... read more
Neoadjuvant therapy is standard for locally advanced rectal cancer (LARC), yet regimen selection remains population-based, risking over- or undertreatment. We developed and validated a deep learning framework that provides a generalizable paradigm fo... read more
Flow cytometry (FC) is essential for detecting measurable residual disease (MRD) in chronic lymphocytic leukemia (CLL), but its use is limited by the expertise and time required for manual analysis. We developed an artificial intelligence (AI) pipeli... read more
Accurate prediction of soil surface wetness (SSW) is vital for effective land management and resource optimization, particularly in sensitive ecosystems like the Western Himalayas. The main objective of the present study is to improve the accuracy of... read more
The growing demand for sustainable construction materials has accelerated research into eco-friendly alternatives to traditional Portland cement. This research explores the potential of geopolymer concrete formulated from agricultural-waste ashes as ... read more
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