With the advancement of neural networks, end-to-end neural automatic speech recognition (ASR) systems have demonstrated significant improvements in identifying contextually biased words. However, the incorporation of bias layers introduces additional... read more
Brain insulin action plays an important role in metabolic and cognitive health, but there is no biomarker available to assess brain insulin resistance in humans. Here, we developed a machine learning framework based on blood DNA methylation profiles ... read more
We propose a method to extend foundational monocular depth estimators
(FMDEs), trained on perspective images, to fisheye images. Despite being
trained on tens of millions of images, FMDEs are susceptible to the covariate
shift introduced by changes... read more
The dream to create AI assistants as capable and versatile as the fictional
J.A.R.V.I.S from Iron Man has long captivated imaginations. With the evolution
of (multi-modal) large language models ((M)LLMs), this dream is closer to
reality, as (M)LLM-... read more
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Aug 6, 2025
OBJECTIVES: After stroke, hand function assessments are used as outcome measures to evaluate new rehabilitation therapies, but do not reflect true performance in natural environments. Wearable (egocentric) cameras provide a way to capture hand functi... read more
Frontier LLMs only recently enabled serviceable, autonomous web agents. At
that, a model poses as an instantaneous domain model backend. Ought to suggest
interaction, it is consulted with a web-based task and respective application
state. The key p... read more
OBJECTIVES: Medication management in the ICU is causally linked to both treatment success and adverse drug events. The purpose of this evaluation was to explore the effect of comprehensive medication management (CMM) on mortality in critically ill pa... read more
Advances in health sciences education : theory and practice
Aug 6, 2025
Many medical schools primarily use multiple-choice questions (MCQs) in pre-clinical assessments due to their efficiency and consistency. However, while MCQs are easy to grade, they often fall short in evaluating higher-order reasoning and understandi... read more
In this paper, we propose new randomized algorithms for estimating the
two-to-infinity and one-to-two norms in a matrix-free setting, using only
matrix-vector multiplications. Our methods are based on appropriate
modifications of Hutchinson's diago... read more
This study evaluates advanced natural language processing (NLP) techniques to
enhance crash data quality by mining crash narratives, using secondary crash
identification in Kentucky as a case study. Drawing from 16,656 manually
reviewed narratives ... read more
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