Oncology/Hematology

The interplay between Peptostreptococcus and Fusobacterium as novel signatures in colorectal cancer recurrence.

BACKGROUND: After resection surgery, recurrence occurs in more than 30% of colorectal cancer (CRC) p...

Multiview 2.5D Deep Learning Outperforms 2D and 3D Models for Preoperative Prediction of Visceral Pleural Invasion in Stage IA Lung Adenocarcinoma.

OBJECTIVE: This study evaluated the predictive performance of 2 novel 2.5-dimensional (2.5D) deep le...

Veteran oropharyngeal cancer outcomes in the modern era: a multi-institutional retrospective analysis.

OBJECTIVE: To define oncologic outcomes in Veterans in the modern era using a multi-institutional co...

Machine Learning for Predicting Colorectal Cancer-Specific Mortality: The Role of Socioeconomic Inequalities in Public Policy.

BACKGROUND: Colorectal cancer remains a leading cause of mortality worldwide. We investigated whethe...

AI-Derived Electronic Tumor Marker For Cancer Antigen 19-9 Nonproducers With Pancreatic Ductal Adenocarcinoma.

IMPORTANCE: Cancer antigen 19-9 (CA19-9) is used to assess treatment response among patients with pa...

A Scoping Review of Machine Learning Applications for Diagnosis, Classification, and Prognosis in Lupus Nephritis.

BACKGROUND: Over the past decade, machine learning (ML) has transformed histopathology, yet its appl...

Letter: Beyond One-Size-Fits-All: Rethinking Early Palliative Cancer Care Through Personalization and Artificial Intelligence.

Design and Photophysical Engineering of Functional Organic Luminogens for Precision Cancer Theranostics.

Cancer remains a significant global health challenge, necessitating innovative therapeutic strategie...

Artificial Intelligence for Predicting Treatment Response in Patients With Anxiety Disorders After Cognitive Behavioral Therapy: Systematic Review and Meta-Analysis.

BACKGROUND: Artificial intelligence (AI) models have been increasingly explored for predicting treat...

Text-guided automatic segmentation of clinical target volume in rectal cancer radiotherapy.

OBJECTIVE: Current automatic segmentation models in radiotherapy, which are predominantly unimodal a...

Token-guided multimodal prognosis in hepatocellular carcinoma: a framework steered by tumour-stroma ratio.

BACKGROUND: The tumour-stroma ratio (TSR) is a potential prognostic indicator, yet hindered by quant...

Pretreatment Radiation Esophagitis Prediction Using Quantum Machine Learning in Patients With Esophageal Cancer.

PURPOSE: To introduce a hybrid quantum-classical machine learning approach and validate its feasibil...

High confidence Raman spectroscopy of tumor biomarker proteins through experimental and theoretical cross-validation.

Cancer represents a significant challenge to people's health and safety. Tumor biomarker detection p...

Rapid detection of drug-resistant leukemia cell using an optofluidic chip and machine learning.

BACKGROUND: Rapid detection of drug-resistant leukemia played a crucial role in formulating appropri...

dMMR prediction from colorectal cancer histopathology: Leveraging non-tumor and low-magnification regions.

BACKGROUND AND OBJECTIVE: Colorectal cancer is the second leading cause of cancer-related mortality ...

LymphUs: A multicenter open-access database of lymph node ultrasound images in patients with papillary thyroid carcinoma for clinical and artificial intelligence research.

Approximately 30-50% of Papillary thyroid carcinoma (PTC) patients develop cervical lymph nodes (LNs...

The role of clinical competency-based education in training in radiation science: A scoping review.

BACKGROUND: Clinical competency-based education (CBE) has emerged as a critical strategy to enhance ...

A hybrid deep learning approach integrating CNN and transformer for lung cancer classification using CT scans.

Lung cancer is an extremely fatal kind of cancer, resulting in the deaths of almost 7.6 million indi...

A generative explainable model for antimicrobial peptide prediction using bidirectional temporal convolutional neural network.

Advances in artificial intelligence (AI) and multi-omics integration are reshaping precision oncolog...

BKDRP: a biological knowledge-driven approach for drug response prediction using multi-omics data in cancer cell lines.

BACKGROUND: Cancer heterogeneity results in patients with the same diagnosis responding differently ...

Signs and symptoms indicating the transition to the palliative phase in patients with COPD and heart failure in primary healthcare: a mixed-methods study.