Latest AI and machine learning research in lymphoma for healthcare professionals.
Placebo effect represents a serious confounder for the assessment of treatment effect to the extent ...
In this study, the biological activities of Lactarius deliciosus were determined. Experimental studi...
Seymour's Second Neighborhood Conjecture claims that there will always exist a node whose out-degr...
Federated Graph Learning (FGL) has demonstrated the advantage of training a global Graph Neural Ne...
Study Objectives: We investigate Mamba-based deep learning approaches for sleep staging on signals...
In today's data-driven world, algorithms operating with vertically distributed datasets are crucia...
Intracranial hemorrhage (ICH) refers to the leakage or accumulation of blood within the skull, whi...
Non-semantic features or semantic-agnostic features, which are irrelevant to image context but sen...
Non-alcoholic fatty liver disease (NAFLD) is one of the most widespread liver disorders on a globa...
Compute-in-memory (CiM)-based binary neural network (CiM-BNN) accelerators marry the benefits of C...
Most data-driven models for medical image analysis rely on universal augmentations to improve accu...
Complex networks are susceptible to contagious cascades, underscoring the urgency for effective epid...
In this comprehensive review, we delve into the transformative role of artificial intelligence (AI) ...
The seminal work of Bencz\'ur and Karger demonstrated cut sparsifiers of near-linear size, with se...
Over the past two decades, tools from network science have been leveraged to characterize the orga...
Functional brain network properties are heavily influenced by how the the network nodes are define...
Researchers have attempted to identify the factors involved in lymph node recurrence in cT1-2N0 tong...
The large volume and variety of imaging data from high-throughput screening (HTS) in the pharmaceu...
BACKGROUND: Due to similar clinical manifestations and imaging signs, differential diagnosis of prim...
The information flows among the people while they communicate through social media websites. Due t...
The inherent heterogeneity of cancer contributes to highly variable responses to any anticancer trea...