Latest AI and machine learning research in devices and vaccines for healthcare professionals.
This paper discusses the design, construction, and characteristics of a six degree of freedom (6-DoF) robotic upper limb stroke rehabilitation device. The device is primarily designed to be used by stroke survivors suffering from hemi-paresis, post stroke therapy. The proposed device is aimed to substitute upper limb exoskeletons or end-effector robotic arm based rehabilitation systems, which are ...
This paper introduces design modifications to our MR-Conditional, 2-degree-of-freedom (DOF), remotely-actuated needle driver for MRI-guided spinal injections. The new needle driver should better meet cleaning and sterilization guidelines needed for regulatory approval, preserve the sterile field during intraoperative needle attachment, and offer better ergonomics and intuitiveness when handling th...
This novel deep-learning (DL) algorithm addresses the challenging task of predicting uterine shape and location when deformed from its natural anatomy...
Exosuits are close-fitting devices, which are meant to be worn without restricting the motion of the user in the way that a rigid device would. These ...
Since Food and Drug Administration approval in 2005, use of the robotic device in gynecologic surgery has continued to increase. There has been a grow...
With the continuing shortage and unequal distribution of medical resources, our objective is to develop a general diagnosis framework that utilizes a...
One of the main problems with the joint use of multiple drugs is that it may cause adverse drug interactions and side effects that damage the body. Th...
The ability to identify antigenic determinants of pathogens, or epitopes, is fundamental to guide rational vaccine development and immunotherapies, wh...
The development of vaccines for the treatment of COVID-19 is paving the way for new hope. Despite this, the risk of the virus mutating into a vaccine-...
Reverse vaccinology (RV) is the state-of-the-art vaccine development strategy that starts with predicting vaccine antigens by bioinformatics analysis ...
Knowledge in the fields of biochemistry, structural biology, immunological principles, microbiology, and genomics has all increased dramatically in re...
Often likened to "the new electricity," artificial intelligence (AI) has broad and sweeping impact in many areas. Perhaps most exciting among these ar...
The use of humanoid robot technologies within global healthcare settings is rapidly evolving; however, the potential of robots in health promotion and...
MOTIVATION: In silico identification of linear B-cell epitopes represents an important step in the development of diagnostic tests and vaccine candida...
Robotic percutaneous coronary intervention (R-PCI) is an emerging technology designed to improve operator safety and procedural precision. The interve...
How can an agency like the U.S. Food & Drug Administration ("FDA") effectively regulate software that is constantly learning and adapting to real-worl...
CONTEXT: Tracheal stent implantation with bronchoscope has become one of the main methods for the treatment of airway stenosis. Bronchoscopy is usuall...
For cochlear implant training and robotic cochlear implant experiments, the design method of scalable scala tympani model was proposed. The mathematic...
To compare the clinical effects of single-incision robot-assisted laparoscopic radical prostatectomy (RARP) with and without extraperitoneal special ...
'We present the development of a soft robotic-inspired device for lower limb compression therapy with application in the treatment of lymphedema. This...