Latest AI and machine learning research in devices and vaccines for healthcare professionals.
Robotics in total knee arthroplasty (TKA) has undergone vast improvements. Although some of the syst...
Diagnosis of lower urinary tract dysfunction with urodynamics has historically relied on data acquir...
Deformable joint contact models can be used to estimate loading conditions for cartilage-cartilage, ...
MOTIVATION: Effective computational methods for peptide-protein binding prediction can greatly help ...
BACKGROUND: Biomedical event extraction has been a major focus of biomedical natural language proces...
BACKGROUND/PURPOSE: Coronary stent deployment outcomes can be negatively impacted by inaccurate lesi...
BACKGROUND: The necessity for urinary diversion with trans-anastomotic ureteral stenting during pyel...
Telerobotic systems enable humans to explore and manipulate remote environments for applications suc...
Many stroke patients are expected to rehabilitate at home, which limits their access to proper rehab...
Medical device design is a challenging process, often requiring collaboration between medical and en...
The adaptive immune response to vaccination or infection can lead to the production of specific anti...
The immune system has evolved to make a diverse repertoire of peptides processed from self and forei...
PURPOSE: The aim of this study is to describe the robotic assisted transfer device (RATD) and an ini...
Human memory stores vast amounts of information. Yet recalling this information is often challenging...
The patient population benefitting from cardiac implantable electronic devices (CIEDs) is increasing...
Abstract Background: Kaposi sarcoma (KS) is the most common cancer among men in several Eastern Afri...
Objectives: Older adults with comorbidities and polypharmacy have disproportionately high risk of ho...
Authoring OMOP concept sets from free-text descriptions remains a major bottleneck in scalable compu...
Background: Accurate estimation of childhood diarrheal disease burden in Africa remains challenging ...
Background: Adverse drug events (ADEs) are a critical indicator of patient safety but are often docu...