Latest AI and machine learning research in lymphoma for healthcare professionals.
In this paper, an algorithm based on collective neurodynamic system is investigated for distributed ...
In heart failure, invasive angiography is often employed to differentiate ischaemic from non-ischae...
Learning in neural networks inspired by brain tissue has been studied for machine learning applicati...
In cancer radiation therapy, large tumor motion due to respiration can lead to uncertainties in tumo...
In order to provide a viable option for remediation of PAHs-contaminated soils, a greenhouse experim...
PURPOSE: To examine physiological responses and perceived exertion during robot-assisted treadmill w...
OBJECTIVE: Attenuation correction (AC) of positron emission tomography (PET) data poses a challenge ...
In this work, we demonstrate a robust, dual marker, biosensing strategy for specific and sensitive e...
Sepsis is the leading cause of death in non-coronary intensive care units. Moreover, a delay of anti...
The goal of this study is to estimate micro-architectural parameters of cortical porosity such as po...
This paper solves the event-triggered passivity and synchronization problems for delayed multiple-we...
Chemists continuously harvest the power of non-covalent interactions to control phenomena in both th...
In recent years, there has been a significant increase in the number of end-of-life vehicles (ELVs) ...
The imaging workup in acute stroke can be simplified by deriving non-contrast CT (NCCT) from CT perf...
The advent of deep learning has pushed medical image analysis to new levels, rapidly replacing more ...
Previous PM related epidemiological studies mainly relied on data from sparse regulatory monitors to...
Multiple sclerosis (MS) is the most common demyelinating disease. In MS, demyelination occurs in the...
Colorectal cancer (CRC) is third in prevalence and mortality among all cancers in the US. Currently,...
Artificial intelligence (AI) will pave the way to a new era in medicine. However, currently availabl...
One of the main problems of the decellularization technique is the subjectivity of the final evaluat...
Reducing radiation dose is important for PET imaging. However, reducing injection doses causes incre...