Latest AI and machine learning research in leukemia for healthcare professionals.
This study aimed to develop and validate an interpretable machine learning (ML) model using routine ...
BACKGROUND: Effective risk stratification in sepsis remains a critical clinical challenge. Serum lac...
BACKGROUND: Clavien-Dindo (CD) grade ≥II complications occur in roughly one in five patients after c...
Advanced pancreatic ductal adenocarcinoma (PDAC) often progresses rapidly during chemotherapy despit...
Kidney transplantation is the preferred treatment for end-stage renal disease, yet donor scarcity an...
Gastric cancer (GC) shows strong biological heterogeneity and frequent disruption of inflammatory an...
The pseudoknot secondary structure in SARS-CoV-2 RNA is essential for regulating protein synthesis t...
OBJECTIVE: Develop a multimodal fusion model combining MRI radiomics and deep learning (DL) to predi...
OBJECTIVES: Pediatric acute pancreatitis (AP), Crohn's disease (CD), and irritable bowel syndrome (I...
Accurate prediction of molecular properties is essential for accelerating drug discovery, yet curren...
Acute lymphoblastic leukaemia (ALL), a common form of cancer, remains a life-threatening condition t...
BACKGROUND: Understanding how epigenome variation contributes to gene expression in disease and deve...
Non-small cell lung cancer (NSCLC) is the most common cancer-related cause of death among all countr...
RATIONALE: After inadequate response to first-line biologic or targeted synthetic (b/ts) disease-mod...
BACKGROUND: Multiparameter flow cytometry is a cornerstone of B cell non-Hodgkin lymphoma (B-NHL) di...
Prognostic heterogeneity remains a challenge for non-metastatic renal cell carcinoma (RCC) patients ...
Head and neck squamous cell carcinoma (HNSCC) is a highly heterogeneous malignancy with poor prognos...
BACKGROUND: Neoadjuvant chemotherapy (NACT) is an established treatment strategy for advanced epithe...
Interpretable machine learning approaches to quantitative structure-activity relationship (QSAR) mod...
PURPOSE: Cancer-associated fibroblasts (CAFs) are central drivers of PDAC progression and therapeuti...
Background and purpose Artificial intelligence (AI)-based tools for CT angiography (CTA) have been i...