Other Cancers

Genetic Predictors of Progression and Skin Rash in Japanese mCSPC Patients Treated With Apalutamide: CUARTET Study.

Despite promising evidence of the efficacy of the androgen deprivation therapy (ADT) plus apalutamid...

Quantitative whole-body measurement of inflammothrombotic immunologic response disease using Fleming method for tissue and vascular differentiation and metabolism.

BACKGROUND: Precision theranostics in nuclear medicine requires reproducible, calibrated quantificat...

Volumetric phase-specific three-dimensional radiomics and machine learning for differentiation of non-mass enhancement in breast magnetic resonance imaging.

PURPOSE: Non-mass enhancement (NME) in breast magnetic resonance imaging (MRI) is a diagnostically c...

Application of artificial intelligence in paediatric oncology imaging.

Paediatric oncology relies heavily on medical imaging for diagnosis, treatment planning, and longitu...

Integrating single-cell and bulk transcriptomes to reveal prognostic and immunological features of ecDNA-related genes in osteosarcoma.

BACKGROUND: The role of extrachromosomal DNA (ecDNA)-related genes in osteosarcoma remains largely u...

OCTN1 variants shape innate immunity and predict individual response to anti-TNFα in ulcerative colitis patients: An exploratory study.

BACKGROUND: Ulcerative colitis (UC) exhibits substantial heterogeneity in inflammatory pathways and ...

Evaluation of AI-Driven Automatic Segmentation Algorithms for Lung Shunt Fraction Estimation in 90Y-Labeled Microsphere Therapy.

90Y-labeled microsphere (90Y-microsphere) hepatic arterial radioembolization is a direct treatment f...

[Current status of artificial intelligence applications in cervical cancer screening: a systematic review].

Objective: To systematically summarize and evaluate the current application status and research prog...

A machine learning predictive model for staging chronic hepatitis B inflammation based on non-invasive metrics.

Early screening and antiviral therapy for significant liver inflammation in chronic hepatitis B (CHB...

BrainFusionNet: a deep learning and XAI model to understand local, global, and sequential features of MRI images for improved brain tumour detection.

The noise of Magnetic Resonance Imaging (MRI) poses challenges for Deep Learning (DL) when tumor bou...

AI-Powered Image-Based Assessment of Pressure Injuries Using You Only Look Once Version 8 (YOLOv8) Models.

OBJECTIVE: The primary objective of this study is to enhance the detection and staging of pressure i...

Multi-Omics and Machine Learning Analyses Reveal PIK3CG, PRKCD, and TRIM22 as Potential Markers of Poor Prognosis and Immune Activation in Glioblastoma.

BACKGROUND: Glioblastoma (GBM) is one of the most aggressive brain tumors with a poor prognosis desp...

Automated Eosinophil Quantification Using Deep Learning to Predict Therapy Escalation in Pediatric Ulcerative Colitis.

BACKGROUND: Emerging evidence implicates eosinophils as important modulators of disease activity and...

Biomarker identification of triple negative breast cancer subtypes using machine learning.

Triple Negative Breast Cancer is a clinically aggressive and molecularly heterogeneous subtype of br...

Interpretable Deep Learning with Multi-Scale CT for Predicting Occult Lymph Node Metastasis in Early-Stage NSCLC: A Multicenter Study.

Accurate preoperative prediction of occult lymph node metastasis (OLNM) in early-stage non-small cel...

Virus-immune signatures reveal distinct clinical phenotypes and predict prognosis in patients with Kaposi's sarcoma.

A machine learning-driven framework integrating cell death and senescence signatures for multi-target drug design and immunotherapy optimization in ovarian cancer.

Ovarian cancer (OC) remains therapeutic challenge due to its complex molecular heterogeneity and the...

Emerging role of artificial intelligence in necrotizing enterocolitis and implementation challenges.

Necrotizing enterocolitis (NEC) remains a persistent clinical challenge, with diagnostic strategies ...

Plasma multi-omics profiling unravels molecular alterations and biomarker panels during recovery from severe coronavirus disease 2019: a pilot study.

BACKGROUND: The potential multidimensional molecular alterations during recovery of severe patients ...

A macrophage co-expression signature enables robust prognostic prediction in glioblastoma.

BACKGROUND: Glioblastoma (GBM) exhibits profound cellular heterogeneity and a highly immunosuppressi...

3D-printed real-time biosensing system integrating deep learning for label-free in vitro T cell culture analysis.

Recent advances in T cell-based immunotherapies highlight the urgent need for precise and dynamic mo...