Other Cancers

Phenotyping of Patients with Age-Related Macular Degeneration Using Artificial Intelligence-Driven Biomarker Patterns in OCT.

PURPOSE: To leverage artificial intelligence-based OCT analysis to classify age-related macular degeneration (AMD) images into distinct subgroups based on retinal layer and fluid biomarkers. DESIGN: Retrospective analysis of a data set of retinal OCT images. PARTICIPANTS: Anonymized data from 157 patients with AMD and 58 healthy volunteers. METHODS: This study analyzed OCT scans from patients with...

Explainable Artificial Intelligence-Driven Salivary Exosome Spectroscopic Profiling for Clinical Diagnosis and Metastasis Detection of Oral Cancer.

Oral squamous cell carcinoma (OSCC), the most common oral malignancy, requires accurate diagnostic methods for patient stratification and treatment guidance. Exosome-based liquid biopsy represents a promising minimally invasive approach to cancer detection. This study develops an explainable artificial intelligence (xAI)-assisted label-free surface-enhanced Raman spectroscopy (SERS) platform for p...

AlphaMissense pathogenicity scores predict response to immunotherapy and enhances the predictive capability of tumor mutation burden.

Tumor Mutational Burden (TMB) is a widely used biomarker for selecting cancer patients for immune checkpoint inhibitor (ICI) therapy. However, TMB alo...

Expanded Indications in Advanced Endoscopic Resection of Malignant Gastrointestinal Lesions.

PURPOSE OF REVIEW: Endoscopic resection (ER) has transformed the management of early gastrointestinal (GI) malignancies by offering curative treatment...

Metabolic characterization of tumor-immune interactions by multiplexed immunofluorescence reveals spatial mechanisms of immunotherapy response in non-small cell lung carcinoma (NSCLC).

Immune checkpoint inhibitors (ICI) have improved clinical outcomes for some patients with advanced NSCLC, however a substantial proportion of patients...

Development and validation of an artificial intelligence-based model for diagnosing benign, borderline, and malignant adnexal masses.

Classification of benign, borderline, and malignant adnexal masses is critical to effective clinical management, but remains a challenge. We developed...

Integrated multi-dataset screening to predict prognosis and identify immunotherapy gene targets in hepatocellular carcinoma patients.

This study systematically predicts prognosis and key gene targets for immunotherapy in hepatocellular carcinoma (HCC) patients based on the joint scre...

Brain-cancer interactions outside the CNS.

Emerging research highlights the key role of the central nervous system in regulating peripheral tumor progression via neural, neuroendocrine, and imm...

Micro-/nanorobots in nanomedicine - Guidance, imaging and the integration of AI and robotics.

The integration of robotics and artificial intelligence (AI) into nanomedicine represents a significant advancement in developing targeted therapeutic...

Global priorities for advancing cancer survivorship.

PURPOSE OF REVIEW: Cancer survivorship is increasingly recognized as an important component of cancer care, yet access to high-quality care remains in...

IR Spectroscopy and Linear Support Vector Machine Analysis of Colorectal Liver Metastasis.

The Colorectal Liver Metastasis (CLM) library contains 756,096 full range Fourier transform infrared (FTIR) microscope imaging spectra of 14 frozen ti...

AI-Guided Design of pH- and Redox-Responsive Lignin@GO@ZIF-8 Nanocarriers for Targeted Co-Delivery of 5-Fluorouracil and Metformin in Prostate Cancer Therapy.

Prostate cancer therapy is limited by systemic toxicity and inefficient tumor-selective delivery. Here we report a multi-stimuli-responsive nanocompos...

Identification and validation of NETs-related biomarkers in hepatocellular carcinoma through bioinformatics analysis and machine learning algorithms.

BACKGROUND: Emerging evidence highlights the significant role of Neutrophil Extracellular Traps (NETs) in hepatocellular carcinoma (HCC), but the unde...

An integrative deep learning model based on dual-mode ultrasound for diagnosing gallbladder polyps.

OBJECTIVES: The aim of this study was to develop an artificial intelligence model to automatically differentiate between non-neoplastic and neoplastic...

Interpretable MRI-Based Machine Learning Model for Noninvasive Prediction of Axillary Lymph Node Metastasis After Neoadjuvant Chemotherapy in Breast Cancer.

RATIONALE AND OBJECTIVES: Accurate prediction of axillary lymph node metastasis (ALNM) after neoadjuvant chemotherapy (NAC) remains challenging in bre...

Integrative Multiomics and Drug Sensitivity Profiling Reveal Potential Biomarkers and Therapeutic Strategies in Pediatric Solid Tumors.

UNLABELLED: Cure rates for childhood malignancies using established therapy protocols have increased to an average of 80% but have reached a plateau. ...

Integrative Analysis of Multi-omic Pathways Predict Cancer-Affected Lobes in Lung Cancer.

Lung cancer is the leading cause of cancer-related deaths. The human microbiome plays an important role in regulating response to cancer therapeutics,...

EXPRESS: Convolutional Autoencoder for Automated Pre-Processing of Tumor Cell and Tissue Raman Spectra.

Raman spectroscopy (RS) is a label-free, non-destructive optical modality that provides a detailed profile of the molecular composition of a sample. T...

SH3BP5L triggers the RAB11A-regulated integrin recycling network implicated in breast cancer metastasis.

Metastatic progression in aggressive breast cancer (BC) depends on a tightly controlled vesicular recycling network regulated by RAB11, a small guanos...

Artificial Intelligence-Assisted Infrared Spectroscopy and Chemometrics for Enhanced Histopathology Screening of Micro- and Macrocancer Lesions.

Accurate detection of micro- and macrocancer lesions remains a critical challenge in histopathology, as conventional hematoxylin and eosin staining re...