Current research in structural biology
Feb 11, 2026
Proliferating cell nuclear antigen (PCNA) protein is an emerging therapeutic target for several diseases including cancers, and certain viral infections. It was previously regarded as being undruggable, due to its functions as a molecular hub that re... read more
Advancements in computer vision and deep learning have revolutionized sports video analysis, enabling automated and precise data labeling. However, these technologies rely heavily on high-quality annotated datasets, which are essential for training s... read more
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Feb 11, 2026
Chronic Obstructive Pulmonary Disease (COPD) is a major global respiratory illness causing death and disability. Traditional methods lack consistent standards, often miss diagnoses, and cannot explore diseases' molecular relationships. Thus, there is... read more
Detecting DNA damage response (DDR) using cell painting profiles is challenging due to limited sample sizes and skewed class distributions. We established a robust classification framework to enhance DDR prediction based on synthetic data. Using the ... read more
European heart journal. Digital health
Feb 11, 2026
AIMS: Artificial intelligence electrocardiography (AI-ECG) algorithms are emerging tools for identifying individuals at risk of atrial fibrillation (AF). We evaluated the predictive performance of a validated AI-ECG algorithm for incident AF in UK Bi... read more
Journal of chemical theory and computation
Feb 11, 2026
The study of rare events is one of the major challenges in atomistic simulations, and several enhanced sampling methods toward its solution have been proposed. Recently, it has been suggested that the use of the committor, which provides a precise fo... read more
Prussian blue nanoparticles (PBNPs) are a versatile platform for administering photothermal therapy (PTT) in cancer therapy applications. PBNPs combine biocompatibility, safety, and clinical translational potential with durable treatment outcomes in ... read more
Online journal of public health informatics
Feb 11, 2026
BACKGROUND: For accurate medication usage statistics and medication adherence calculations, we need to have an accurate days' supply (DS) for each prescription. Unfortunately, often the DS or the information needed for calculating the DS is not provi... read more
BACKGROUND: Large language models (LLMs) have fundamentally transformed approaches to natural language processing tasks across diverse domains. In health care, accurate and cost-efficient text classification is crucial-whether for clinical note analy... read more
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