Latest AI and machine learning research in lymphoma for healthcare professionals.
LncRNAWiki, a knowledgebase of human long non-coding RNAs (lncRNAs), has been rapidly expanded by in...
BACKGROUND: Timely and accurate diagnosis of genetic diseases can lead to proper action and preventi...
As the last decade of human genomics research begins to bear the fruit of advancements in precision ...
Intramedullary lesions can be challenging to diagnose, given the wide range of possible pathologies....
Malignant lymphomas are a family of heterogenous disorders caused by clonal proliferation of lymphoc...
OBJECTIVES: To describe a newly developed machine-learning (ML) algorithm for the automatic recognit...
BACKGROUND: In Japan, docetaxel, a cytotoxic monotherapy, is the standard drug administered to older...
It is difficult to effectively distinguish the key information of non-stationary dynamic signals in ...
Efficient management of hospitalized patients requires carefully planning each stay by taking into a...
MOTIVATION: Monoclonal antibody (mAb) therapeutics are often produced from non-human sources (typica...
To compare the clinical effects of single-incision robot-assisted laparoscopic radical prostatectom...
INTRODUCTION: Immune cell functional assay (ImmuKnow®) is a non-invasive method that measures the st...
INTRODUCTION: The possibility of low-dose positron emission tomography (PET) imaging using high sens...
An Automatic deep learning semantic segmentation (ADLS) using DeepLab-v3-plus technique is proposed ...
Aortic dissection (AD) is a rare but potentially fatal disease with high mortality. The aim of this ...
Gastrointestinal (GI) diseases are amongst the most painful and dangerous clinical cases, due to ine...
Photoplethysmography (PPG) is a non-invasive and cost-efficient optical technique used to assess blo...
PURPOSE: Clinical TNM staging is a key prognostic factor for patients with lung cancer and is used t...
We sought to describe the incidence, risk factors, and survival outcomes associated with pathologic...
Objective We developed a universal lesion detector (ULDor) which showed good performance in in-lab e...
General practitioners (GPs) are playing a key role in skin cancer screening. Non-melanoma skin cance...