Other Cancers

Development of a room temperature phosphorescence methodology to evaluate the interaction of AI-designed peptides with the tumor biomarker 5-hydroxyindoleacetic acid.

Early detection of neuroendocrine tumors (NETs) is crucial for early and effective intervention, thus reducing the likelihood of tumor progression and metastasis. These tumors have been thoroughly investigated and associated with an excessive secretion of the biomarker 5-hydroxyindoleacetic acid (5HIAA). Although, HPLC is the most commonly used method for 5HIAA detection, spectroscopic alternative...

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 disease, is associated with a high risk of limb loss. CLTI clinical presentation is highly heterogeneous, ranging from neuropathic ulcers with only mild to moderate ischemia to gangrene resulting from severe ischemia. Understanding the etiology and limb- and systemic-based disease patterns, as well as d...

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 significant area of investigation. However, a robu...

Harnessing Artificial Intelligence in Head and Neck Oncology Practice: Data, Diagnosis, and Therapy.

Artificial intelligence (AI) has emerged as a transformative tool across the various domains of head and neck oncology. From early screening and risk ...

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 classifications based on gene expression profiles...

Development of a selectively AURKB targeting peptide degradation drug with artificial intelligence-assisted design for the treatment of acute lymphoblastic leukemia.

INTRODUCTION: Acute lymphoblastic leukemia (ALL) is a highly heterogeneous hematologic malignancy with poor prognosis in refractory and relapsed cases...

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 tumor-associated macrophages (TAMs) to establish an i...

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 perimeter, are novel PET/CT metrics of tumour aggr...

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 and de novo tumors, respectively, differ in biolog...

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 predict prostate cancer (PCa) metastasis using com...

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 learning to predict their future depressive status and as...

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-dimensional magnetic resonance fingerprinting (4D-MR...

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 prescription in traditional Chinese medicine, tradit...

Artificial Intelligence and Radiogenomics for Pediatric CNS Neoplasms.

The 5th edition of the WHO CNS tumor classification (2021) emphasizes molecular alterations, especially in pediatric tumors, integrating histology wit...

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 segmentation tools for PET/CT imaging, their prognostic value...

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 and accurate margin definition to prevent function...

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

Oral cancer often develops from oral potentially malignant disorders. Oral leukoplakia (OL) is the most common oral potentially malignant disorder. Ho...

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 imaging for detecting lymph node metastasis in esophagea...

Virtual screening and experimental validation of small-molecule compounds targeting AR in prostate cancer.

Prostate cancer ranks as the second most prevalent malignancy among men, with its progression predominantly driven by androgen receptor (AR) signaling...

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 increasing. Radiomics consists of high-dimensional and repr...