Chemotherapy

Machine Learning for Predicting the Low Risk of Postoperative Pancreatic Fistula After Pancreaticoduodenectomy: Toward a Dynamic and Personalized Postoperative Management Strategy.

BACKGROUND: Postoperative pancreatic fistula (POPF) remains one of the most relevant complications f...

Recent Advances in Fe-Free M-N-C Catalysts for Oxygen Reduction Reaction.

Atomically dispersed metal-nitrogen-carbon (M-N-C) materials, characterized by well-defined coordina...

Hepatitis B In Silico Trials Capture Functional Cure, Indicate Mechanistic Pathways, and Suggest Prognostic Biomarker Signatures.

In silico trials, utilizing mathematical models calibrated with clinical data, present a transformat...

Spatial discovery of pyrotinib overcoming HER2-positive breast cancer resistance by breaking fibroblast-induced immune barriers.

BACKGROUND: The TCbHP regimen, consisting of combining docetaxel (T), carboplatin (Cb), trastuzumab ...

Serum-Based Assessment of Alopecia Areata Response to Treatment Using ATR-FTIR Spectroscopy.

: Serum diagnostic tests for alopecia areata may be used to monitor response to treatment, aiding in...

[Current status and trends of perioperative immunotherapy for gastric cancer].

In recent years,immunotherapy,particularly immune checkpoint inhibitors,has been widely used in the ...

Identification of a novel chemotherapy benefit index for patients with advanced ovarian cancer based on Bayesian network analysis.

BACKGROUND: This study aims to evaluate the efficacy of chemotherapy and optimize treatment strategi...

A novel fractional computational neural framework for analyzing cancer model under chemotherapy drug.

In this study, a novel Caputo fractional-order model is proposed to represent the complex interactio...

Improved analytical workflow towards machine learning supported N-glycomics-based biomarker discovery.

The composition and function of glycans are very complex thus manual data interpretation of their st...

Skeletal Muscle Density as a Predictive Marker for Pathologic Complete Response in Triple-Negative Breast Cancer Treated with Neoadjuvant Chemoimmunotherapy.

: The predictive value of muscle-related indicators in triple-negative breast cancer (TNBC) patients...

National Guidelines for Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy (HIPEC) in Peritoneal Malignancies: A Worldwide Systematic Review and Recommendations of Strength Analysis.

BACKGROUND: National guidelines (GLs) for surgical cytoreduction (CRS) and hyperthermic intraperiton...

Leveraging automated machine learning to predict colon cancer prognosis from clinical features and risk groups: a retrospective cohort study.

BACKGROUND: Predicting colon cancer recurrence is crucial for determining the need for adjuvant ther...

Leveraging Digital Twins for Stratification of Patients with Breast Cancer and Treatment Optimization in Geriatric Oncology: Multivariate Clustering Analysis.

BACKGROUND: Defining optimal adjuvant therapeutic strategies for older adult patients with breast ca...

End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study.

OBJECTIVES: Pancreatic cancer treatment plans involving surgery and/or chemotherapy are highly depen...

Development of Explainable Machine Learning Models to Identify Patients at Risk for 1-Year Mortality and New Distant Metastases Postendoprosthetic Reconstruction for Lower Extremity Bone Tumors: A Secondary Analysis of the PARITY Trial.

BACKGROUND: Accurate prediction of postoperative metastasis and mortality risks in patients undergoi...

Corrigendum to "Ultrasound-Based Deep Learning Radiomics Nomogram for Tumor and Axillary Lymph Node Status Prediction After Neoadjuvant Chemotherapy" [Academic Radiology 32 (2025) 12-23].

External validation of the Oncotype DX breast cancer recurrence score nomogram and development and validation of a novel machine learning-based model to predict postoperative overall survival and guide adjuvant chemotherapy in ER positive, Her-2 negative breast cancer patients: a retrospective cohort study.

BACKGROUND: This study aims to externally validate the performance of the Oncotype DX (ODX) breast c...

Microbial vitamin biosynthesis links gut microbiota dynamics to chemotherapy toxicity.

Dose-limiting toxicities pose a major barrier to cancer treatment. While preclinical studies show th...

Label-Free and Intelligent Cell Death Recognition Toward Lung Cancer Chemotherapy.

The lack of high-throughput, label-free, and intelligent recognition models for assessing cell death...

Predicting Treatment Outcomes in Glioblastoma: A Risk Score Model for TMZ Resistance and Immune Checkpoint Inhibition.

Glioblastoma (GBM) presents significant therapeutic challenges due to its invasive nature and resist...

Non-invasive CT based multiregional radiomics for predicting pathologic complete response to preoperative neoadjuvant chemoimmunotherapy in non-small cell lung cancer.

PURPOSE: This study aims to develop and validate a multiregional radiomics model to predict patholog...