Oncology/Hematology

Smart nanoparticle vaccines integrate nanotechnology artificial intelligence and immunoengineering for precision immunization.

The rise of multidrug-resistant microbes, rapidly evolving viruses, and recurring pandemics underscores the urgent need for advanced vaccine technologies. Nanoparticle-based vaccines have emerged as a transformative approach capable of overcoming the major shortcomings of traditional immunization methods. Their nanoscale architecture allows precise antigen targeting, enhanced stability, and contro...

Integrative machine learning reveals a TLS signature and CCL5-CCR1 axis-associated immune remodeling in breast cancer.

BACKGROUND: The transition from ductal carcinoma in situ (DCIS) to invasive ductal carcinoma (IDC) is a critical but poorly understood step in breast cancer progression. This study characterizes the dynamic remodeling of the tumor microenvironment (TME) during this transition, focusing on tertiary lymphoid structures (TLS) and chemokine signaling. METHODS: Using an integrated multi-omics approach-...

A modern review of uveal melanoma: molecular insights, clinical management, and emerging therapies.

Uveal melanoma is the most frequent primary intraocular malignancy in adults and is characterized by an aggressive clinical course, high propensity fo...

Clinical Study on the Prevention of High-Risk Pulmonary Nodule Progression With Yifei Sanjie Pill: Protocol for a Multicenter Randomized Controlled Trial.

BACKGROUND: High-risk subsolid pulmonary nodules, especially mixed ground-glass nodules, can represent precancerous or early-stage lung adenocarcinoma...

Metrics Used for the Evaluation of Chatbots Providing Cancer Genetic Risk Assessment and Education: Systematic Review.

BACKGROUND: Chatbots have recently emerged as an alternative approach for delivering cancer risk assessment and genetic counseling. Understanding the ...

CMTM3 links inflammation-related transcriptional dysregulation to immune and therapeutic stratification in gastric cancer.

Gastric cancer (GC) shows strong biological heterogeneity and frequent disruption of inflammatory and metabolic programs, which affect tumor progressi...

Improved risk stratification for oral tongue squamous cell carcinoma using deep learning-based MRI classifier and pathological markers to guide postoperative radiotherapy: A multicenter cohort study.

BACKGROUND: Current risk stratification for oral tongue squamous cell carcinoma (OTSCC) has limited accuracy in identifying patients who would benefit...

An explainable multimodal 2.5D deep learning-radiomics model for predicting extranodal extension in lung adenocarcinoma using preoperative CT: a multicenter retrospective cohort study.

OBJECTIVE: This study aimed to develop the Radiomics-Assembled ENE system (RAIEm), a multimodal preoperative computed tomography (CT) radiomics model,...

Deep learning reconstruction-applied PROPELLER diffusion-weighted imaging in uterine malignancies: a comparison study with MUSE.

PURPOSE: To compare the image quality of diffusion-weighted imaging (DWI) between deep learning reconstruction (DLR)-applied Periodically Rotated Over...

The Promise of Machine Learning-Guided Adjuvant Chemotherapy for Resected Gallbladder Cancer.

Scientific evidence of commercial artificial intelligence products for pulmonary nodule assessment on CT scans: a systematic review.

OBJECTIVES: This systematic review evaluates the available evidence on the efficacy of commercially available AI-software applications for lung nodule...

Aconitine from Aconiti Lateralis Radix Praeparata (Fuzi) Suppresses Intrahepatic Cholangiocarcinoma via TOP2A: A Study Combining Machine Learning with Functional Validation.

OBJECTIVE: To elucidate the therapeutic potential and mechanisms of Fuzi (Aconiti Lateralis Radix Praeparata) against intrahepatic cholangiocarcinoma ...

From Symptom Control to Precision Supportive Oncology: Integrating Artificial Intelligence in Supportive Oncology for Gastrointestinal Cancers.

PURPOSE OF REVIEW: Gastrointestinal (GI) cancers are among the most common malignancies worldwide and impose a substantial symptom burden from diagnos...

Association of inflammation-related composite indices with lung cancer risk in US adults and all-cause mortality among lung cancer patients: evidence from the 1999-2018 NHANES.

BACKGROUND: Chronic inflammation is implicated in lung cancer pathogenesis. Inflammation-related haematologic indices are accessible biomarkers, but t...

Differentiating Radiotherapy-Specific Distress From General Cancer Distress: Natural Language Processing Analysis of Patient Narratives.

BACKGROUND: Psychological distress is common among patients with cancer, and it negatively impacts treatment adherence and quality of life. Radiothera...

Integrating MRI radiomics and deep learning for predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer: a multicenter study.

OBJECTIVE: Develop a multimodal fusion model combining MRI radiomics and deep learning (DL) to predict pathologic complete response (pCR) in breast ca...

MRI-based radiomics interpretable model predicts microsatellite instability status in endometrioid adenocarcinoma.

OBJECTIVE: To develop and validate a multiparametric MRI-based radiomics model for noninvasive preoperative prediction of microsatellite instability (...

Maintaining SUV accuracy in low-count PET with PETfectior: a deep learning denoising solution.

The diagnostic image quality of positron emission tomography (PET) acquisitions strongly depends on the administered radiotracer activity and acquisit...

Automated model-based lesion tracking in CT: colorectal liver metastases as a use case for development and performance analysis.

OBJECTIVE: To develop and evaluate an automated CT liver lesion-tracking algorithm that matches lesions over time, detects new metastases, and reports...

Deep learning-driven discovery of anti-metastatic phytochemicals targeting MMP-1 in breast cancer via advanced contrastive learning and structural attention.

Matrix metalloproteinase-1 (MMP-1) is a key enzyme that drives extracellular matrix degradation and facilitates breast cancer progression, invasion, a...