This study presents a data-driven workflow for upstream process development in biologics manufacturing, aimed at improving consistency, efficiency, and decision-making using established statistical and machine learning tools. Rather than relying on s... read more
Journal of chemical information and modeling
Mar 11, 2026
In the field of quantum machine learning (QML), parametrized quantum circuits (PQCs)─constructed using a combination of fixed and tunable quantum gates─provide a promising hybrid framework for tackling complex machine learning problems. Despite numer... read more
BACKGROUND: Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection and remains a major global health challenge. Polymorphonuclear neutrophils (PMNs), as major effectors of innate immunity, are essential for... read more
Capillary electrophoresis (CE) often provides superior separation of macromolecules such as monoclonal antibodies (mAbs), a major biopharmaceutical class, compared with liquid chromatography. However, electropherograms frequently exhibit complex base... read more
BACKGROUND: Artificial intelligence-enabled coronary plaque analysis (AI-CPA) has been shown to improve cardiovascular risk prediction. However, little is known about how these measures influence management. OBJECTIVES: This study sought to define ch... read more
Journal of the Royal Society, Interface
Mar 11, 2026
Accurate phase estimation-the process of assigning phase values between 0 and 2π to repetitive or periodic signals-is a cornerstone in the analysis of oscillatory signals across diverse fields, from neuroscience to robotics, where it is fundamental, ... read more
In humans and other animals, social robots can serve as effective tutors for learning new skills. Young oscines learn their song by imitating conspecific adults. In a previous study, we demonstrated that a robotic bird can be as effective as a live t... read more
BACKGROUND: Polysubstance use continues to complicate the US overdose landscape, with over 107,000 lives lost to drug overdoses in 2022. The present study uses hierarchical agglomerative clustering to identify distinct spatiotemporal profiles of opio... read more
Lentiviral vectors (LVs) have emerged as the most promising tool for cell and gene therapy. However, LVs are very fragile and sensitive to shear stress, buffer pH and salt concentration, resulting in serious hurdles in downstream processing. To addre... read more
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