Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Hematology research has greatly benefited from the integration of diverse biological data resources and advanced machine learning (ML) frameworks. This integration has not only deepened our understanding of blood diseases such as leukemia and lymphoma, but also enhanced diagnostic accuracy and personalized treatment strategies. By applying ML algorithms to analyze large-scale biological data, researchers can more effectively identify disease patterns, predict treatment responses, and provide new perspectives for the diagnosis and treatment of hematologic disorders. Here, we provide an overview of the current landscape of biological data resources and the application of ML frameworks pertinent to hematology research.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12321297 | PMC |
| http://dx.doi.org/10.1093/gpbjnl/qzaf021 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Biofilm Analysis by Confocal Microscopy-Basics and Practical Aspects.
Microsc Res Tech
September 2025
Department of River Ecology, Helmholtz Centre for Environmental Research-UFZ, Magdeburg, Germany.
This review is intended as a guideline for beginners in confocal laser scanning microscopy. It combines basic theoretical concepts, such as fluorescence principles, resolution limits, and imaging parameters with practical guidance on sample preparation, staining strategies, and data acquisition using confocal microscopy. The aim is to combine technical and methodological aspects in order to provide a comprehensive and accessible introduction.
View Article and Find Full Text PDFNeuroimaging Data Informed Mood and Psychosis Diagnosis Using an Ensemble Deep Multimodal Framework.
Hum Brain Mapp
September 2025
Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.
Investigating neuroimaging data to identify brain-based markers of mental illnesses has gained significant attention. Nevertheless, these endeavors encounter challenges arising from a reliance on symptoms and self-report assessments in making an initial diagnosis. The absence of biological data to delineate nosological categories hinders the provision of additional neurobiological insights into these disorders.
View Article and Find Full Text PDFClinical and Dermoscopic Characterization of Scalp Cutaneous Metastases From Breast Carcinoma: A Multicenter Study of the EADV Task Force on Hair Diseases.
Int J Dermatol
September 2025
Dermatology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Introduction: Cutaneous scalp metastases from breast carcinoma (CMBC) represent an uncommon manifestation of metastatic disease, with heterogeneous clinical presentations, including nodular or infiltrative lesions and scarring alopecia (alopecia neoplastica). The absence of standardized diagnostic criteria, particularly for alopecic phenotypes, poses challenges to early recognition of CMBC, which may represent either the first indication of neoplastic progression or a late recurrence.
Materials And Methods: We retrospectively analyzed a multicenter cohort of 15 patients with histologically confirmed CMBC.
Identifying potential drug triggers for bullous pemphigoid: a disproportionality analysis of the FDA adverse event reporting system and systematic review of case reports.
Cutan Ocul Toxicol
September 2025
Department of Pharmacy Practice, National Institute of Pharmaceutical Education and Research (NIPER) Guwahati, Kamrup, Assam, India.
Objective: This study aimed to assess the potential risk of Bullous pemphigoid (BP) associated with antidiabetic agents, antimicrobials, diuretics, immune checkpoint inhibitors, and biological agents.
Research Design And Methods: A retrospective pharmacovigilance data analysis was conducted using the FDA Adverse Event Reporting System (FAERS) between Q1/2004 and Q3/2024. Disproportionality analyses, viz.
Genetic factors associated with the co-occurrence of endometriosis with antiphospholipid syndrome (Review).
Exp Ther Med
October 2025
Section of Molecular Pathology and Human Genetics, Department of Internal Medicine, School of Medicine, University of Crete, 71003 Heraklion, Greece.
Immune-related factors may serve an important role in the development of endometriosis, considering the occurrence of substantial abnormalities in the immune system of women with endometriosis, including reduced T-cell reactivity and natural killer cell cytotoxicity, as well as increased numbers and activation of peritoneal macrophages. Moreover, women suffering from endometriosis are at a higher risk for developing various autoimmune diseases as comorbidities of endometriosis. Recent epidemiological data demonstrate that patients with endometriosis have a significantly higher risk (2.
View Article and Find Full Text PDF