Leukemia

Integrated machine learning and structural bioinformatics guided identification of novel molecular scaffolds as renin inhibitors.

Cardiovascular diseases (CVDs) remain the leading cause of death globally, with hypertension as its critical hallmark. The Renin-Angiotensin-Aldosterone-System (RAAS) plays a central role in regulating blood pressure, highlighting its relevance for antihypertensive drug development. Despite extensive research, Aliskiren remains the only clinically approved direct renin inhibitor (DRI), underscorin...

PRISM: Prior-enhanced Inference for Spatial Transcriptomic Cell Type Mapping.

MOTIVATION: Cell type annotation in spatial transcriptomics (ST) is fundamental for deciphering complex tissue organization and spatially resolved biological processes. Most existing methods perform ST cell type annotation by transferring labels from single-cell RNA-seq (scRNA) data to ST data, but typically rely on weakly constrained representations that neglect structured spatial dependencies an...

Metabolomic Profiling and Machine Learning-Based Prediction of High-Dose Methotrexate-Induced Liver Injury in Pediatric Acute Lymphoblastic Leukemia.

BACKGROUND: High-dose methotrexate (HD-MTX) is essential for pediatric acute lymphoblastic leukemia (ALL) but frequently causes hepatotoxicity. To add...

A Semi-Automated Microfluidic Platform Employing Machine Learning Analysis to Study Adhesion Kinetics in Acute Myeloid Leukemia.

Current platforms for drug screening typically do not account for the tumor microenvironment. Microfluidic shear flow assays provide a highly sensitiv...

Hypertension-associated DNA methylation signatures and multi-generational epigenetic clocks in Korean adults.

Hypertension is a hallmark of vascular aging; however, the epigenetic link between biological aging and blood pressure remains unclear. This epigenome...

Chemical-Sensing Catheters for Long-Term and Personalized Therapeutic Management.

Long-term intravenous catheterization is vital for delivering chemotherapy to cancer patients and parenteral nutrition to those with intestinal failur...

Utilizing machine learning to identify multimodal signatures for patients who would benefit from the addition of tremelimumab to durvalumab and chemotherapy (TRIDENT).

PURPOSE: POSEIDON (NCT03164616) was a randomized, open-label, multicenter phase 3 trial comparing first-line durvalumab with or without tremelimumab i...

clinTALL: machine learning-driven multimodal subtype classification and treatment outcome prediction in pediatric T-ALL.

BACKGROUND: Childhood T-lineage acute lymphoblastic leukemia (T-ALL) is an aggressive hematologic malignancy with poor prognosis. Differently from B-c...

Keratin gene expression signature predicts prognosis and immunotherapy efficacy in lung adenocarcinoma.

Keratins (KRTs) are intermediate filament proteins expressed in epithelial cells and serve as diagnostic cancer biomarkers. They serve pivotal roles i...

Real-World Evidence-Based Study on Treatment-Free Remission in Chronic Myeloid Leukemia.

BACKGROUND: Treatment-free remission (TFR) has become a treatment goal for chronic myeloid leukemia (CML). This study aimed to define precise conditio...

Recent Advances in Immunotherapy for Breast Cancer: An Updated Review.

Immunotherapy has revolutionized the treatment landscape of breast cancer, particularly for triple-negative breast cancer (TNBC), yet primary and acqu...

Deep learning approaches for predicting response to neoadjuvant chemotherapy in muscle invasive bladder cancer: A systematic review.

Neoadjuvant chemotherapy (NAC) followed by radical cystectomy is the standard of care for muscle-invasive bladder cancer (MIBC), yet treatment respons...

Semantic edge detection of fractures in geological outcrops using edge aware dilated convolutional networks.

Natural fracture networks govern subsurface fluid flow, rock-mass stability, and strain accommodation in the brittle crust, yet their automated deline...

Sex-specific predictors of lower-limb strength: an interpretable machine learning analysis of anthropometric and body composition measures.

Muscular strength is a key indicator of physical function. However, its direct laboratory assessment often requires specialized, high-cost equipment a...

A bladder cancer-associated gene signature for exploratory qPCR-based survival stratification in NAC-Treated muscle-invasive bladder cancer.

BACKGROUND: Muscle-invasive bladder cancer (MIBC) is an aggressive and heterogeneous malignancy with limited biomarkers to guide patient stratificatio...

Explainable machine learning model for early prediction of ICU death in chronic heart failure with pulmonary infection.

OBJECTIVE: To develop and validate a machine learning model for predicting ICU mortality in CHF patients with pulmonary infection. METHODS: Clinical d...

Screening of shared molecular markers between cervical cancer and major depressive disorder and the mechanism of CRAT/CLIC4 regulating EMT in cervical cancer cells.

BACKGROUND: Cervical cancer (CC) ranks among the most prevalent malignant neoplasms affecting women worldwide. Tumor recurrence, distant metastases, a...

Bioinformatics reveals the prognostic potential of manganese metabolism-related genes in lung adenocarcinoma.

Manganese metabolism may be involved in the malignant progression of lung adenocarcinoma (LUAD). Clarifying the roles of manganese metabolism-related ...

Tumor cells escape from therapy-induced senescence: from molecular mechanisms to targeted intervention.

Tumor recurrence represents a significant challenge in the field of tumor therapy, severely affecting patients' survival rates and quality of life. Ev...

A Machine-Learning Model Using Pre-treatment Multimodal Data to Predict Sentinel Lymph Node Status After Neoadjuvant Chemotherapy in Operable Early-stage Breast Cancer.

RATIONALE AND OBJECTIVES: Although accurate preoperative prediction of sentinel lymph node (SLN) status in operable early-stage breast cancer (EBC) af...