Latest AI and machine learning research in devices and vaccines for healthcare professionals.
Current tumor neoantigen calling algorithms primarily rely on epitope/major histocompatibility compl...
In this work, we improved a previous model used for the prediction of proteomes as new B-cell epitop...
Cochlear implants (CIs) are surgically implanted neural prosthetic devices that are used to treat se...
Hospital readmission is among the most critical issues in the healthcare system due to its high prev...
Development of the next generation of bio- and nano-electronics is inseparably connected to the inno...
BACKGROUND: New developments, based on the concept of wearable soft-robotic devices, make it possibl...
A generalization of active neural associative knowledge graphs (ANAKGs) to their minicolumn form is ...
Labeling activity data is a central part of the design and evaluation of human activity recognition ...
The classifier of support vector machine (SVM) learning for assessing the quality of arteriovenous f...
A preventive measure for debonding has not been established and is highly desirable to improve the s...
From memorizing a musical tune to navigating a well known route, many of our underlying behaviors ha...
Materials exhibiting memory or those capable of implementing certain learning schemes are the basic ...
 Artificial intelligence (AI) integrated circuits (IC) have memory devices as the key component. Due...
A decision support system (DSS) was developed to predict postoperative outcome of a kidney stone tre...
The apparent unpredictability of epileptic seizures has a major impact in the quality of life of peo...
A 34-year-old woman with history of surgical correction (Takeuchi procedure) of anomalous left coron...
Many efforts have been spent in the last decade for the development of nanoscale synaptic devices in...
In this paper, we solve the problem of mitosis event localization and its stage localization in time...
Influenza type A, a serious infectious disease of the human respiratory tract, poses an enormous thr...
Machine learning holds considerable promise for understanding complex biological processes such as v...
Measuring spasticity is important in treatment planning and determining efficacy after treatment. Ho...