Latest AI and machine learning research in leukemia for healthcare professionals.
Rice crop disease is critical in precision agriculture due to various influencing components and uns...
To assess the efficacy of a deep learning platform for managing symptoms in chemotherapy patients, a...
Homologous recombination deficiency (HRD) is a well-recognized important biomarker in determining th...
Drug repositioning has emerged as a promising strategy for identifying new therapeutic applications ...
A thorough understanding of cell-line drug response mechanisms is crucial for drug development, repu...
OBJECTIVE: Â Ovarian cancer's complexity and heterogeneity pose significant challenges in treatment, ...
Gene selection is crucial for cancer classification using microarray data. In the interests of impro...
Surgical castration of males is carried out on a large scale in the US swine industry and the pain r...
OBJECTIVE: The aim of this study was to develop and validate a deep learning radiomics (DLR) model b...
CDK4/6 inhibitors in combination with endocrine therapy are widely used to treat HR+/HER2- metastati...
Single-cell image analysis is crucial for studying drug effects on cellular morphology and phenotypi...
BACKGROUND: Ovarian cancer (OC) is a severe malignant tumor with a significant threat to women's hea...
BACKGROUND: Neutrophil extracellular traps (NETs) play pivotal roles in various pathological process...
BackgroundSepsis complicates acute pancreatitis (AP), increasing mortality risk. Few studies have ex...
Colorectal cancer (CRC) is the most common malignancy in the digestive system, with a lower 5-year o...
Pyrimidine metabolism is a hallmark of tumor metabolic reprogramming, while its significance in the...
RATIONALE AND OBJECTIVES: Immunotherapy combined with chemotherapy has improved outcomes for some es...
BACKGROUND: Dysregulation or abnormality of the programmed cell death (PCD) pathway is closely relat...
Over 90% of gastrointestinal stromal tumors (GISTs) harbor mutations in KIT or PDGFRA that can predi...
PURPOSE: To develop models using different machine learning algorithms to predict high-risk symptom ...
In single-cell transcriptomics research, accurately predicting cell lineage allocation and identifyi...