Latest AI and machine learning research in lymphoma for healthcare professionals.
Since its outbreak in December 2019, the persistent coronavirus disease (COVID-19) became a global h...
The novel coronavirus disease 2019 (COVID-19) pandemic has led to a worldwide crisis in public healt...
This study aimed to investigate the predictive efficacy of positron emission tomography/computed tom...
IMPORTANCE: An end-to-end efficacy evaluation approach for identifying progression risk after epider...
We present comboFM, a machine learning framework for predicting the responses of drug combinations i...
Correcting or reducing the effects of voxel intensity non-uniformity (INU) within a given tissue typ...
Segmentation of lymphoma lesions in FDG PET/CT images is critical in both assessing individual lesio...
Diagnostic histopathology is a gold standard for diagnosing hematopoietic malignancies. Pathologic d...
We apply for the first-time interpretable deep learning methods simultaneously to the most common sk...
Chronic intermittent hypoxia (CIH) is the primary feature of obstructive sleep apnoea (OSA), a cruci...
We aim to generate an artificial neural network (ANN) model to predict early TNF inhibitor users in ...
OBJECTIVE: Muscle atrophy is associated with autologous stem cell transplantation (ASCT)-related out...
Pre-treatment determination of renal cell carcinoma aggressiveness may help guide clinical decision-...
Small non-coding RNAs (ncRNAs) are short non-coding sequences involved in gene regulation in many bi...
This project aimed to develop and evaluate a fast and fully-automated deep-learning method applying ...
ETHNOPHARMACOLOGICAL RELEVANCE: Kidney deficiency is the main pathogenesis of osteoporosis based on ...
The human-in-the-loop technology requires studies on sensory-motor characteristics of each hand for ...
BACKGROUND: Autism spectrum disorders (ASD) refer to a range of neurodevelopmental conditions, which...
Live sheep export has become a public concern. This study aimed to test a non-contact biometric syst...
Although there is no agreement on a definition of elderly, commonly an age cutoff of ≥ 65 or 75 year...
Stroke lesion volume is a key radiologic measurement in assessing prognosis of acute ischemic stroke...