Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
In the field of robotic gait rehabilitation, controlling robotic devices to follow specific human-li...
Computational protein design has been demonstrated to be the most powerful tool in the last few year...
This paper presents a study on the use of impedance-based control of a 6-degree-of-freedom robot for...
The inductive tongue-computer interface allows individuals with tetraplegia to control assistive dev...
The analysis of maternal factors that impact the normal development of the fetal thalamus is an emer...
MOTIVATION: The size of available omics datasets is steadily increasing with technological advanceme...
Identifying disease-gene associations is a fundamental and critical biomedical task towards understa...
Accurate prediction of the phenotypic outcomes produced by different combinations of genotypes, envi...
SUMMARY: Limited by spatial resolution and visual contrast, bone scintigraphy interpretation is susc...
The role of segmentectomy for lung cancer is expected to increase owing to the results of Japan Clin...
A brain-computer interface (BCI) is a system that allows a human operator to use only mental command...
To investigate the effect of individualized positive end expiratory pressure (PEEP) setting guided ...
BACKGROUND: Persons living with dementia and their care partners place a high value on aging in plac...
The technique of robotic kidney transplantation (RKT) under regional hypothermia is being described....
Rapid eye movement (REM) sleep behavior disorder (RBD) is parasomnia and a prodromal manifestation o...
Earlier studies show frail seniors often experience loneliness and depression. Moreover, frailty can...
Finding a low dimensional representation of data from long-timescale trajectories of biomolecular pr...
SUMMARY: DeepKG is an end-to-end deep learning-based workflow that helps researchers automatically m...
Model-based control has great potential for use in real robots due to its high sampling efficiency. ...
PURPOSE: This study aimed to propose an effective end-to-end process in medical imaging using an ind...
Convolutional neural networks (CNNs) evolved from Fukushima's neocognitron model, which is based on ...