Latest AI and machine learning research in lymphoma for healthcare professionals.
In randomized, placebo controlled clinical trials (RCT) in major depressive disorders (MDD), treatme...
Citrus fruits are widely consumed for their nutritional value and taste; however, juice sac granulat...
BACKGROUND AND OBJECTIVE: Diagnosis of pathology in the mediastinum has proven quite challenging, gi...
Highly selective C-H functionalization remains an ongoing challenge in organic synthetic methodologi...
BACKGROUND: Epidermal growth factor receptor (EGFR) T790M mutation often occurs during long duration...
BACKGROUND AND OBJECTIVE: Positron emission tomography/computed tomography (PET/CT) is recommended a...
Coronary artery disease (CAD) is one of the most common causes of sudden cardiac arrest, accounting ...
BACKGROUND: The angiography-derived non-hyperemic pressure ratio (angioNHPR) is a novel index of NHP...
Post-transplant allograft fibrosis remains a challenge in prolonging allograft survival. Regulated ...
BACKGROUND/INTRODUCTION: To evaluate the performance of pre-trained deep learning schemes (DLS) in h...
Precise measurement of firmness was crucial for determining optimal harvesting times, implementing r...
INTRODUCTION: Gliomas are the most common primary malignant intraparenchymal brain tumors with a dis...
This study proposes a novel non-linear modelling approach to predict the dissolution profiles of ext...
The existing clinical diagnostic methods of pulmonary tuberculosis (TB) usually have some of the fol...
Stroke is a neurological complication that can occur in patients admitted to the intensive care unit...
Hepatocellular carcinoma (HCC) represents a significant health burden in Egypt, largely attributable...
RATIONALE AND OBJECTIVES: Missed nodules in chest radiographs (CXRs) are common occurrences. We asse...
Recent advancements in Large Language Models (LLMs) and Prompt Engineering have made chatbot customi...
This paper studies the asynchronous output feedback control and H synchronization problems for a cla...
Traceability and mislabelling of black tea for their geographical origin is known as a major fraud c...
Understanding the cell cycle at the single-cell level is crucial for cellular biology and cancer res...