Hematology

Peptide Therapeutics for Solid Tumors: Functional Classes, AI-Enhanced Discovery and Clinical Advances.

Solid tumors, the most prevalent form of malignancy, pose therapeutic challenges distinct from hematologic malignancies due to their complex biology, including high tumor heterogeneity, a dense extracellular matrix (ECM), an immunosuppressive tumor microenvironment (TME), and multifaceted drug resistance. Peptide drugs have emerged as a focal point in precision oncology, combining the deep tissue ...

EfficientNet-B0-Based Screening of WBC-Diff Scattergram Images for Hematological Abnormalities.

White blood cell differential (WBC-Diff) scattergrams are used to screen for hematological abnormalities in potential hematopoietic malignancies and abnormal conditions. However, these potential indications can be easily missed. We applied deep learning models to develop a new and rapid workflow by learning the characteristics of WBC-Diff scattergram images for early hematological abnormality scre...

Artificial Intelligence in Xenotransplantation: A Prioritized Roadmap for Early Clinical Translation, Opportunities and Challenges.

Xenotransplantation represents a potential solution to the persistent global organ shortage, yet its clinical application remains stalled by complex i...

Correction to: Machine learning-based prediction of peripherally inserted central catheter-related thrombosis in hematological malignancies: development and validation of a dynamic model in a multicenter cohort.

Cancer-associated fusion transcripts: mechanisms, functional roles, and clinical implications.

Fusion transcripts are hybrid RNA molecules generated through genomic rearrangements or RNA-level fusion mechanisms. They represent important molecula...

Silencing SLC52A2 promotes tertiary lymphoid structure formation and inhibits IL-17 pathway to ameliorate melanoma progression.

Tertiary lymphoid structure (TLS) correlates with improved prognosis in melanoma. The role of solute carrier family 52 member A2 (SLC52A2) in mediatin...

Machine Learning-Driven Risk Clusters for Adverse Outcomes in Patients Hospitalized with Acute Heart Failure: Using a Retrospective Cohort Data.

AIM: Heart failure (HF) poses a growing public health burden, yet conventional risk stratification models fail to capture the multidimensional complex...

Exploratory immunomonitoring during radiochemotherapy in HNSCC and machine-learning reveal immune parameters associated with disease-free survival.

Immunological biomarkers are increasingly relevant for personalized cancer treatment, but peripheral blood-derived biomarkers are not yet used to guid...

Identification of Epigenetic Regulator-Associated Genes in Keloid Disease Through Integrated Bulk and Single-Cell Transcriptomics With RT-qPCR Validation.

There exists a close correlation between epigenetic factors and the progression of keloid disease (KD). The research aims to identify the key genes li...

A Review of the Role of Artificial Intelligence in Patients on Extracorporeal Membrane Oxygenation: A Scoping Review Study.

BACKGROUND AND AIMS: ECMO is used to deliver cardiopulmonary support in extreme failure where standard therapies are unfruitful. Although ECMO is asso...

Gut microbiota and blood biomarkers as correlating factors in patients with postoperative delirium: analysis of three prospective observational studies.

Postoperative delirium is associated with both gut microbiota alterations and Tau phosphorylation; however, how these factors interact and jointly con...

Development and Validation of the GLORIA-AF Stroke Weighted Risk Score for Patients with Atrial Fibrillation.

BACKGROUND AND AIMS: Accurate stroke-risk stratification is central to anticoagulation decision-making in patients with atrial fibrillation (AF), but ...

Antibiotic Resistance in Helicobacter pylori: Pathogenic Mechanisms and Eradication Barriers.

Antibiotic resistance in Helicobacter pylori is an important factor in the ineffectiveness of eradication regimens. The rate of resistance is not cons...

Preserving Expertise in Vitamin K Antagonists in the Era of Direct Oral Anticoagulants: Avoiding Therapeutic Segregation.

The rapid uptake of direct oral anticoagulants (DOACs) has sharply reduced the prescribing of vitamin K antagonists (VKAs), giving rise to an underapp...

Machine learning-based prediction model for predicting the impact of insulin resistance on the risk of ischemic cardiomyopathy.

BACKGROUND: The triglyceride-to-high-density lipoprotein cholesterol (TG/HDL-C) ratio and triglyceride glucose-body mass (TyG-BMI) index are reliable ...

Comparison of Machine Learning-Based Reporting with Surgeon Reporting of Postoperative Complication in Cardiothoracic Morbidity and Mortality Conferences.

BACKGROUND: Traditional morbidity and mortality (M&M) conferences incompletely capture postoperative complications, potentially limiting quality impro...

An artificial intelligence and numerical simulation-based strategy for multi-objective optimization of hemodynamics in curved vessels.

Understanding and optimizing blood flow behavior in curved vessels is crucial for improving cardiovascular treatment planning and reducing complicatio...

Development and Validation of an Interpretable Machine Learning Model for Predicting In-Hospital Mortality in Diabetic Patients with Sepsis-Associated Acute Kidney Injury.

BackgroundSepsis-associated acute kidney injury (SA-AKI) is a common and severe complication in critically ill patients, with poor prognosis. Diabetes...

Machine learning prediction of human blood optical properties: a comparative study of optimized algorithms with SHAP-based interpretability analysis.

Accurate characterization of the optical properties of blood is essential for biomedical optics, diagnostic imaging, and therapeutic applications. con...

Accurate differentiation of metastatic and ultrasound-atypical reactive hyperplastic lymph nodes using a fusion model integrating ultrasound radiomics and habitatomics: A multicenter study.

BACKGROUND: The significant sonographic overlap between metastatic and ultrasound-atypical reactive hyperplastic lymph nodes remains a challenge in su...