Latest AI and machine learning research in oncology/hematology for healthcare professionals.
MicroRNAs (miRNAs) have been studied in cutaneous T-cell lymphoma (CTCL) for more than 15 years, revealing oncogenic and tumor-suppressive networks, the JAK/STAT-miRNA signaling circuit, diagnostic classifiers, and therapeutic miRNA targeting (Cobomarsen, targeting miRNA-155). Yet, no miRNA diagnostic has reached clinical practice. We synthesize the CTCL miRNA literature and argue that translation...
Cancer cells exhibit metabolic reprogramming, most notably the Warburg effect, which underscores their heightened dependency on glucose uptake facilitated by glucose transporters (GLUTs). While targeting GLUTs holds promise for disrupting tumor metabolism, monotherapeutic inhibition often leads to compensatory resistance mechanisms, metabolic plasticity, and dose-limiting toxicity. This review com...
Bruton's Tyrosine Kinase (BTK) has been recently recognized as an important drug design target for treating B-cell malignancies. Unfortunately, drug r...
AimTo gather nurses' perceptions nursing hematologic management on patients undergoing CAR-T cell therapy. A combined approach using statistical analy...
Accurate breast tumor segmentation in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is vital for diagnosis and treatment planning. De...
Heart failure (HF) remains a major cause of morbidity, mortality, impaired quality of life and healthcare expenditure worldwide. The global burden of ...
BACKGROUND: Radiation-induced thrombocytopenia (RIT) is a severe, dose-limiting complication of cancer radiotherapy with limited clinical management o...
PURPOSE: Recent studies indicate that lung function can change significantly during radiation therapy (RT) course. However, additional function imagin...
Hepatobiliary cancers are highly heterogeneous malignant tumors, and the drug resistance frequently emerges at advanced stages. Patient-derived organo...
Neoantigen vaccines have rekindled interest in therapeutic cancer vaccination, yet their clinical efficacy remains constrained by imperfect antigen pr...
OBJECTIVES: Lymphoma is a prevalent hematologic malignancy with complex pathogenesis involving dysregulated signaling pathways and high treatment resi...
Ovarian cancer remains the most lethal gynaecological malignancy, largely due to late-stage diagnosis and the limited sensitivity of CA-125 for border...
Emerging evidence indicates that coagulation-related molecular programs are associated with thrombosis, tumor progression, and molecular dysregulation...
PURPOSE: With AI tools being increasingly utilized for medical inquiries, this study evaluated the agreement between clinicians, text-only clinicians,...
Machine learning methods have been growing in prominence across all areas of medicine. In pathology, recent advances in deep learning (DL) have enable...
BACKGROUND: Dedicated service for Barrett's oesophagus (BO) surveillance may be more effective than conventional service, according to some single cen...
Solid tumors, the most prevalent form of malignancy, pose therapeutic challenges distinct from hematologic malignancies due to their complex biology, ...
Camptothecin (CPT), a plant-derived monoterpene indole alkaloid first identified in Camptotheca acuminata, is a drug precursor widely used for cancer ...
BACKGROUND: Artificial intelligence (AI) is reshaping clinical decision support systems (CDSSs). In acute and critical care, nurses provide continuous...
BACKGROUND: Deep learning has shown promising performance in cervical cytology; however, many studies have relied on presegmented single-cell images r...