Latest AI and machine learning research in work force for healthcare professionals.
Many stroke patients are expected to rehabilitate at home, which limits their access to proper rehab...
The dual challenge of increasing numbers of older adults and overall increases in those with some fo...
Artificial neural networks (NNs) represent a relatively recent approach for the prediction of molecu...
The vast amount and diversity of the content shared on social media can pose a challenge for any bus...
This paper presents a novel electromyography (EMG)-driven hand exoskeleton for bilateral rehabilitat...
It is unclear how the variability of kinematic errors experienced during motor training affects skil...
Robots are a promising tool for rehabilitation, and research suggests combining assistance with subj...
Physical therapy is an important component of gait recovery for individuals with locomotor dysfuncti...
The aim of this study was to present a new training algorithm using artificial neural networks calle...
Robust training and validation of Autonomous Driving Systems (ADS) require massive, diverse datasets...
Accurate gene prediction remains a major bottleneck in fungal genomics, where lineage diversity and ...
Deep neural networks have achieved impressive performance across a wide range of tasks, but this suc...
While scaling laws have established a fundamental framework for foundation models in natural languag...
Background: Large language models (LLMs) are increasingly used in telehealth, but their safety in an...
Distilled one-step (T=1) or few-step (T$\leq$4) diffusion models enable real-time image generation b...
RLHF is widely used to align flow-matching text-to-image models with human preferences, but often le...
Annotating bounding boxes is costly and limits the scalability of object detection. This challenge i...
We present EDDY (Exact-marginal Diversification via Divergence-free dYnamics), a guidance mechanism ...
High-quality datasets that span broad sequence diversity are essential for understanding protein seq...
The scarcity of high-quality annotated medical data, particularly in mental health, poses a signific...
Background: Emerging evidence suggests that the oral microbiome may contribute to aberrant gut immun...