Other Cancers

Using precision medicine methods to identify disease stages for chronic limb-threatening ischemia in participants of the BEST-CLI trial.

BACKGROUND: Chronic limb-threatening ischemia (CLTI), the most severe form of peripheral artery dise...

Machine learning-based integration develops a lactate metabolism related gene signature for improving outcomes in pancreatic ductal adenocarcinoma.

OBJECTIVES: Given its high global mortality rate, pancreatic ductal adenocarcinoma (PDAC) remains a ...

Comprehensive multi-omics data to construct hepatocellular carcinoma pathway subtypes and classification model.

The high heterogeneity of Hepatocellular Carcinoma (HCC) severely hampers clinical outcomes. Current...

4-Nonylphenol mediated tumor progression and immune modulation through CDK2: Computational and experimental validation.

As an endocrine-disrupting chemical, 4-nonylphenol (4-NP) has been found above safe limits in global...

CSF1R and macrophage infiltration: Integrated magnetic resonance imaging radiomics and deep learning-driven models for the preoperative assessment of glioma.

BACKGROUND: Colony-stimulating factor-1 receptor (CSF1R) signaling is crucial for the ability of tum...

NHOC/NHOP as novel biomarkers for predicting lymph node metastasis in NSCLC using PET/CT radiomics and machine learning: a two-center retrospective study.

PURPOSE: NHOC and NHOP, defined as the normalized distances from peak uptake to tumour centroid and ...

Long-Term Survival and Beneficiaries of Adjuvant Anti-PD-1 Therapy in Resected Hepatocellular Carcinoma.

BACKGROUND: Early and late hepatocellular carcinoma (HCC) recurrences, which are driven by residual ...

Histopathology-based Artificial Intelligence Algorithms for the Prediction of Prostate Cancer Metastasis After Radical Prostatectomy.

BACKGROUND AND OBJECTIVE: Multimodal artificial intelligence (AI) algorithms have been validated to ...

Interpretable machine learning models for predicting depression status and remission three years later in older adults in China: A longitudinal study.

BACKGROUND: Depression significantly impacts older adults, making it valuable to use machine learnin...

Deep Learning-Based Motion-Compensated Reconstruction for Accelerating 4-Dimensional Magnetic Resonance Fingerprinting.

PURPOSE: To develop and validate DeepMocor, a deep learning-based method for motion-compensated 4-di...

Multi-omics and machine learning framework reveals ABCG2 as a therapeutic target of Eleven Flavored Shenqi Tablets in clear cell renal cell carcinoma.

ETHNOPHARMACOLOGICAL RELEVANCE: Eleven Flavored Shenqi Tablets (EFST) is a classical multi-herbal pr...

Artificial Intelligence and Radiogenomics for Pediatric CNS Neoplasms.

The 5th edition of the WHO CNS tumor classification (2021) emphasizes molecular alterations, especia...

Fully automated volumetric assessment of tumor burden using artificial intelligence on 68Ga-PSMA-11 PET predicts survival after 177Lu-PSMA therapy in metastatic Castration-resistant prostate cancer.

PURPOSE: Despite the rapid development of artificial intelligence (AI)-powered automated segmentatio...

AI-assisted basal cell carcinoma diagnosis with LC-OCT: A multicentric retrospective study.

BACKGROUND: Basal cell carcinoma (BCC) is the most common skin cancer, requiring an early diagnosis ...

Multidimensional Artificial Intelligence-Based Cancer Progression Prediction in Oral Leukoplakia.

Oral cancer often develops from oral potentially malignant disorders. Oral leukoplakia (OL) is the m...

Utility of multimodal deep learning model to diagnose lymph node metastasis in esophageal cancer using computed tomography and positron emission tomography images.

PURPOSE: This study aimed to assess the performance of a deep learning model using multimodal imagin...

The Application of Radiomics in Laryngeal Cancer Management: A Scoping Review of the Literature.

OBJECTIVE: Laryngeal cancer is a significant head and neck malignancy, whose prevalence is increasin...

Development and validation of a nomogram combining PI-RADS v2.1 and clinical indicators for the diagnosis of prostate cancer in patients with PSA ≤ 20 ng/mL.

PURPOSE: This investigation focused on developing a predictive clinical tool that combines biparamet...

Home-Based Pain Management in Palliative Care in the Context of Artificial Intelligence.

Breaking the bottleneck of asthma treatment: the future of omni-targeted therapy.

BACKGROUND: Bronchial asthma is a complex, highly heterogeneous disease involving multiple pathologi...

Prognostic prediction of hepatoblastoma in children: development and validation of machine learning models-an SEER-based study.

Hepatoblastoma (HB) is the most common primary malignant liver tumor in children. Although the incid...