Oncology/Hematology

Pediatric SleepNet: A Deep Learning Network for Reliable Pediatric Sleep Staging Across Developmental Stages.

STUDY OBJECTIVES: Manual sleep staging in pediatric populations is challenging due to developmental ...

Clinical Validation of AI-assisted Evaluation of Indeterminate Biliary Strictures in Digital-Single Operator Cholangioscopy: a Transcontinental Multicentric Study.

INTRODUCTION: Biliary strictures (BS) are a significant challenge, with malignant strictures frequen...

Integrated and Ultrafast Multiomics Sample Preparation Workflow for Screening Biomarker Panel of Platelet Biomolecules for Early Diagnosis of HCC.

Early detection of hepatocellular carcinoma (HCC) remains a persistent worldwide challenge. Owing to...

AI might be the next stage of our natural evolution: A cancer neuroscience perspective.

Cancer neuroscience is an emerging field at the intersection of oncology, neuroscience, and immunolo...

Deciphering lncRNA-disease associations based on multi-representation fusion and boosting with Gaussian process.

LncRNA-disease association (LDA) identification can provide valuable insights for understanding dise...

Machine learning and logistic regression in estimating survival in patients with high-malignant deep-seated soft tissue sarcomas: development and analysis based on a population-based retrospective cohort.

BACKGROUND AND PURPOSE:  Soft tissue sarcomas are a heterogeneous group of malignant tumors with a h...

[Digital transformation in endocrinology/diabetology, pneumology, and hematology/oncology : Where do we stand today-and what lies ahead?].

As in many areas of medicine, increasing digitalisation is also having an impact on everyday practic...

Educational Impact of a National Training Webinar on AI-based Automatic Contouring in Radiation Oncology.

Quantification of Ki-67 labeling index in pediatric brain tumor immunohistochemistry images.

Quantification of the Kiel 67 (Ki-67) labeling index (LI) is critical for assessing proliferation an...

AGPAT3 reshapes tumor cell vulnerability to IFNγ-mediated ferroptosis and enhances immunotherapy efficacy through lipid remodeling.

BACKGROUND: Ferroptosis plays a critical role in immune regulation and tumor microenvironment remode...

Accuracy and reproducibility of tumor size measurement using a deep-learning-based CDSS in resected lung cancer.

PURPOSE: MONCAD LCT is a commercially available deep-learning based clinical decision support system...

Precision immunotherapies for systemic lupus erythematosus: From pathogenic targets to translational horizons.

Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disorder in which aberrant B-cell a...

Predictive biomarkers of response to chimeric antigen receptor (CAR) T-cell therapy for pan-haematologic cancer.

Chimeric antigen receptor (CAR) T-cell therapy holds great promise for patients with cancer, and the...

Multiphase CT-based deep learning radiomics nomogram models for preoperative WHO/ISUP grading of clear cell renal cell carcinoma: a two-center validation study.

BACKGROUND: Preoperative determination of clear cell renal cell carcinoma (ccRCC) World Health Organ...

SMC4/SMAD3/NF-κB axis drives cervical cancer progression and radioresistance via DNA damage repair and immune modulation.

OBJECTIVE: Cervical cancer remains a significant global health burden, with the molecular determinan...

Revolutionizing hepatic fibrosis staging: A machine learning approach combining clinical, biochemical, and microbiome insights.

Non-alcoholic Steatohepatitis (NASH) is a common disease that not only affects adults but has also b...

Harnessing the Power of artificial intelligence for clinical trials in cancer.

INTRODUCTION: Cancer research has become increasingly data-intensive, with digital pathology, imagin...

Dysbiosis of fecal virome in pediatric Crohn's disease and its dynamic changes during infliximab therapy.

UNLABELLED: The gut virome is an emerging but underexplored component of the human microbiota, espec...

Effect of a Computer-Aided Device for Detecting Gastric Neoplasms: A Multicenter, Randomized Controlled Trial.

BACKGROUND & AIMS: Evidence about the effect of artificial intelligence (AI) on upper endoscopy in m...

Development and validation of an interpretable MRI-based multimodal fusion model for predicting lymph node metastasis after neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicenter study.

OBJECTIVE: To develop an interpretable multimodal model that integrates pre-treatment Magnetic reson...

A two-step scoring model incorporating visceral-to-subcutaneous fat ratio and systemic immunoinflammatory index for predicting cytokine release syndrome severity in patients with gastric cancer receiving Claudin18.2-targeted CAR-T cell therapy.

Cytokine release syndrome (CRS) greatly impacts survival in patients who undergo chimeric antigen re...