Latest AI and machine learning research in geriatrics for healthcare professionals.
The increasing global aging population necessitates improved methods to assess brain aging and its...
Early diagnosis and discovery of therapeutic drug targets are crucial objectives for the effective...
Adversarial input image perturbation attacks have emerged as a significant threat to machine learn...
Recent advances in imitation learning have shown significant promise for robotic control and embod...
Conventional multi-stage cell tracking approaches rely heavily on detection or segmentation in eac...
This study explores a novel approach for analyzing Sit-to-Stand (STS) movements using millimeter-w...
The paper describes a cohort of patients with post-acute COVID-19 syndrome, evaluated for the first ...
Proximal humeral fractures are among the most common fractures seen in emergency departments. Accura...
Augmenting traditional genome-wide association studies (GWAS) with advanced machine learning algorit...
Recent advances in single-cell RNA-Sequencing (scRNA-Seq) technologies have revolutionized our abili...
Alzheimer's disease (AD) is characterized by progressive neurodegeneration and results in detrimen...
Radiology reporting generative AI holds significant potential to alleviate clinical workloads and ...
The prevalence of multi-modal content on social media complicates automated moderation strategies....
Traditional compilers, designed for optimizing low-level code, fall short when dealing with modern...
Modern transformer-based deep neural networks present unique technical challenges for effective ac...
Neuropathologic changes of Alzheimer disease (AD) including Aβ accumulation and neuroinflammation ar...
The success of machine learning models relies heavily on effectively representing high-dimensional...
Understanding the relationship between cognition and intrinsic brain activity through purely data-...
We show that assuming the availability of the processor with variable precision arithmetic, we can...
With the popularity of location-based services, human mobility prediction plays a key role in enha...
In this work, we consider the problem of learning end to end perception to control for ground vehi...