Latest AI and machine learning research in lymphoma for healthcare professionals.
BACKGROUND: Recently, artificial neural networks (ANN) have been proposed as promising machines for ...
The skin sensitization potential of chemicals has been determined with the use of the murine local l...
BACKGROUND: Crizotinib, an ATP-competitive receptor tyrosine kinase inhibitor of both anaplastic lym...
In this paper, a non-invasive blood glucose sensing system is presented using near infra-red(NIR) sp...
Evaluation of potential chemical-induced eye injury through irritation and corrosion is required to ...
Recently, there have been great interests for computer-aided diagnosis of Alzheimer's disease (AD) a...
Non-canonical HLA-presented peptides are promising therapeutic targets, but their low abundance make...
Confirming Alzheimer's disease (AD) typically relies on positron emission tomography (PET), which re...
Video world models should maintain evolving states when evidence is unobserved, yet current generato...
Clonal haematopoiesis (CH) becomes ubiquitous as humans age. The role of somatic driver mutations in...
Purpose: To develop a data-efficient deep learning framework for rapid reconstruction of highly acce...
Background: Obesity significantly increases the risk of prognosis and clinical outcomes in pancreati...
Inference of cancer cell states is essential for understanding oncogenic mechanisms and predicting c...
Structural MRI-to-amyloid PET synthesis has been proposed as a non-invasive alternative for amyloid ...
Accurate histological differentiation between adenocarcinoma (ADC) and squamous cell carcinoma (SCC)...
Diffuse Large B-cell lymphoma (DLBCL) is the most common aggressive lymphoma in the Western world. F...
Background: Sezary syndrome (SS) is an aggressive leukemic variant of cutaneous T-cell lymphoma (CTC...
Alzheimer's disease (AD) confirmation often relies on positron emission tomography (PET) or cerebros...
Traditional clonogenic assays remain central to evaluating the self-renewal capacity of tumor cells....
Detecting amyloid-$β$ (A$β$) positivity is crucial for early diagnosis of Alzheimer's disease but ty...
Purpose: Automated medical image-based prediction of clinical outcomes, such as overall survival (OS...