Latest AI and machine learning research in infection control / modes of transmission for healthcare professionals.
Current surgical grippers rely on friction grip, where normal loads (i.e. pinch forces) are translated into friction forces. Operating errors with surgical grippers are often force-related, including tissue slipping out of the gripper because of too low pinch forces and tissue damaging due to too high pinch forces. Here, we prototyped a modular surgical gripper with elastomeric soft pads reinforce...
The bone drilling process is characterised by various parameters, the most important of which are the feed rate (mm/s) and the drill speed (rpm). They highly reflect the final effects and results of the drilling process, such as mechanical and thermal damages of bone tissue and hole quality. During manual drilling, these parameters are controlled by the surgeon based on his practical skills. But a...
This paper introduces a new generative deep learning network for human motion synthesis and control. Our key idea is to combine recurrent neural netwo...
Individuals who have lost the use of their hands because of amputation or spinal cord injury can use prosthetic hands to restore their independence. A...
Cutaneous leishmaniasis is one of the diseases that severely affects human skin. Nanogels are the well-known formulation for topical drug delivery due...
Schistosomiasis has been associated with kidney diseases leading to serious health problems especially in advanced cases. Most studies have used renal...
Previous research has shown that eye contact, in human-human interaction, elicits increased affective and attention related psychophysiological respon...
In order to improve the reliability, safety and whole digestive applicability of the gastrointestinal microrobot (GMR), a novel inchworm-like GMR is p...
Using Automated Planning for the high level control of robotic architectures is becoming very popular thanks mainly to its capability to define the ta...
Soft machines are a promising design paradigm for human-centric devices and systems required to interact gently with their environment. To enable soft...
Digital-enabled manufacturing systems require a high level of automation for fast and low-cost production but should also present flexibility and adap...
Meteorological parameters were crucial and effective factors in past infectious diseases, like influenza and severe acute respiratory syndrome (SARS),...
Information and communication technologies (ICTs) have contributed to advances in Occupational Health and Safety, improving the security of workers. T...
The rapid spread of COVID-19 has resulted in the shortage of medical resources, which necessitates accurate prognosis prediction to triage patients ef...
In this work we present a three-stage Machine Learning strategy to country-level risk classification based on countries that are reporting COVID-19 in...
To manage the COVID-19 pandemic, development of rapid, selective, sensitive diagnostic systems for early stage β-coronavirus severe acute respiratory ...
To create a miniature shapeshifting robot capable of controlled movement, subdivision, regeneration, passage through small channels, engulfment of par...
Photoplethysmography imaging (PPGI) for non-contact monitoring of preterm infants in the neonatal intensive care unit (NICU) is a promising technology...
Covid-19 is a rapidly spreading viral disease that infects not only humans, but animals are also infected because of this disease. The daily life of h...
A model that predicts levels of coronavirus (CoV) respiratory and fecal-oral transmission potentials based on the shell disorder has been built using ...