Latest AI and machine learning research in lymphoma for healthcare professionals.
SARS-CoV-2 is a novel virus, responsible for causing the COVID-19 pandemic that has emerged as a pan...
Leak detection techniques are effective ways of controlling water leakage in real water distribution...
Many methodologies are used to predict the genetic merit in animals and plants, but some of them req...
Infrared absorption spectroscopy is a widely used tool to quantify and monitor compositions of gases...
Single-cell impedance flow cytometry (IFC) is emerging as a label-free and non-invasive method for c...
Human T-cell Leukemia Virus type-1 (HTLV-1) is an oncovirus that may cause two main life-threatening...
In this study, the potential of microfluidic systems with different microchannel geometries (microch...
Deep learning (DL) has become a remarkably powerful tool for image processing recently. However, the...
As a revolutionary technology, terrestrial laser scanning (TLS) is attracting increasing interest in...
We present a novel approach for first-in-human (FIH) dose selection of the CD20xCD3 bispecific antib...
Infliximab (IFX) is an effective medication for ulcerative colitis (UC) patients. However, one-third...
BACKGROUND: There is no unified treatment standard for patients with extranodal NK/T-cell lymphoma (...
Stem/progenitor cell transplantation is a potential novel therapeutic strategy to induce angiogenesi...
Defensins are host defense peptides present in nearly all living species, which play a crucial role ...
Robotised Non-Destructive Testing (NDT) has revolutionised the field, increasing the speed of repeti...
The internal combustion engine faces increasing societal and governmental pressure to improve both e...
Photothermal therapy (PTT) requires tight thermal dose control to achieve tumor ablation with minima...
Background Preoperative mediastinal staging is crucial for the optimal management of clinical stage ...
Artificial intelligence-based tools designed to assist in the diagnosis of lymphoid neoplasms remain...
Multi-view clustering has become an active topic in artificial intelligence. Yet, similar investigat...
This article aims at demonstrating the feasibility of modern deep learning techniques for the real-t...