Other Cancers

Preclinical and Virtual Models of Mucosal Melanoma: Bridging Translational Gaps in a Rare and Lethal Cancer.

Mucosal melanoma (MM) is a rare and lethal subtype of melanoma, disproportionately affecting Asian populations and exhibiting distinct clinicopathological and genetic features compared to cutaneous melanoma (CM). Often diagnosed at advanced stages, MM shows poor responses to conventional therapies, and no standardized treatment regimen currently exists. Progress in preclinical modeling, including ...

Blinded, bias-controlled multi-rater evaluation of human-versus-AI brain metastasis segmentation using a hybrid foundation-model framework.

BACKGROUND: Accurate segmentation of brain metastases (BM) is essential for diagnosis, stereotactic radiosurgery planning, and longitudinal assessment. However, manual contouring is time-intensive, limiting clinical scalability, and exhibits substantial inter-observer variability. This variability complicates objective assessment of automated segmentation methods and challenges interpretation of m...

Deep Unsupervised Domain Adaptation for Translating Cancer Dependency Maps From Cell Lines to Breast Cancer Tumor Genomics.

The Cancer dependency maps (DepMap) identify genetic dependencies in cancer cells using large-scale loss-of-function screens, providing a foundation f...

A Fully Automated Pipeline for Vertebral Structural Assessment From Medical Images. Application Under Metastatic Conditions.

Spinal bone metastases often lead to vertebral fractures and other skeletal events that severely affect patients' quality of life. Predicting structur...

AI-assisted Radiomic Model for Cervical Cancer Recurrence Prediction: A Multicenter Retrospective Study with Experimental Validation.

Purpose To evaluate the value of a nomogram model incorporating clinical parameters, hematologic inflammatory biomarkers, and MRI radiomic features in...

Real-time intraoperative identification of malignant ovarian tumors using deep learning of clinical gross specimen images.

OBJECTIVE: Ovarian cancer is one of the most common gynecologic malignancies with high mortalities. A proper operation strategy is key to improve pati...

Accurate focal-plane selection is crucial for artificial intelligence assessment of three-dimensional urine cytology specimens for bladder cancer screening and surveillance.

BACKGROUND: Bladder cancer is a common and highly recurrent malignancy requiring lifelong surveillance. Urine cytology serves as a noninvasive triage ...

The IGF1-PGM5 Axis Inhibits Aerobic Glycolysis and Serves As a Tumor Suppressor in Nasopharyngeal Carcinoma.

Nasopharyngeal carcinoma (NPC) is a prevalent malignancy with a distinct geographical distribution. This study aimed to identify core glycolysis-relat...

Gamma Knife treatment planning using knowledge-based reinforcement learning.

BACKGROUND: Inverse planning is often used for Gamma Knife radiosurgery, allowing clinicians to mathematically specify desired clinical objectives and...

Advances and prospects in cell therapy for cancer: explorations from T cells to stem cells.

The increasing global burden of cancer necessitates innovative therapeutic strategies. Cell therapy represents a major breakthrough in oncology, evolv...

Metabolic reprogramming of myeloid cells in cancer: from lactate-NAMPT axis to AI-guided therapeutics.

Myeloid cells-including macrophages, monocytes, neutrophils and dendritic cells-are metabolically plastic sentinels that shape the tumor microenvironm...

Multimodal artificial intelligence models for liver fibrosis staging: a scoping review.

Multimodal artificial intelligence (AI) approaches integrating heterogeneous data sources represent an emerging frontier in liver fibrosis assessment....

An AI-Driven Multi-Omics Framework Identifies CASP8 as a Clinically Actionable Pyroptosis Biomarker in Bladder Cancer.

Despite rapid advances in multi-omics technologies, translating candidate biomarkers into clinical practice for bladder cancer remains challenging due...

Artificial intelligence-based automated sleep staging using heart rate variability: Assessment of performance and clinical prospects.

Background Some artificial intelligence models use heart rate variability (HRV) features to classify sleep stages. Estimation of HRV indices requires ...

Integrative Genomic and Clinical Profiling of Colorectal Cancer Liver Metastases to Guide Personalized Surgery and Liver Transplantation.

BACKGROUND/AIM: Colorectal cancer liver metastases (CRLM) remain a leading cause of cancer-related mortality. Although hepatic resection is the only e...

AI-powered real-time detection and classification of peritoneal nodules in colorectal cancer using multi-center laparoscopic data: A feasibility study.

OBJECTIVE: To explore the feasibility of developing an intraoperative real-time detection model for peritoneal nodules in laparoscopic colorectal canc...

Air pollution and hepatocellular carcinoma: Integrated network toxicology, machine learning, molecular docking and multiomics analysis.

Air pollution is closely related to the incidence and prognosis of hepatocellular carcinoma (HCC); however, the mechanisms remain elusive. Therefore, ...

Trajectory analysis of sleep disorders and anxiety-depression in female breast cancer patients undergoing chemotherapy: based on group-based Multi-Trajectory Model and machine learning.

BACKGROUND: Sleep disorders and anxiety-depression symptoms can significantly impair the quality of life and treatment adherence among breast cancer p...

Emerging Role of AI in Gastroenterology and Hepatology: Revolutionizing Medical Device-Assisted Diagnosis.

Recent advancements in AI have emerged in the diagnosis of different diseases by enhancing the analysis of various medical imaging. Similarly, the eng...

Multi-omics Signature Predicts Anti-EGFR Therapy Benefit in Colorectal Cancer Liver Metastases: A Multi-center Cohort Study.

INTRODUCTION: Clinical management of RAS wild-type colorectal cancer liver metastases (CRLM) remains challenging because many patients exhibit primary...