Chemotherapy

Machine learning-assisted design of a dendritic cell nanovaccine inducing twin immunity against monkeypox.

The global emergence of monkeypox virus (MPXV) has created an urgent need for effective vaccines tha...

Cutaneous lymphomas - an update.

Primary cutaneous lymphomas (CL) and lymphoproliferative disorders (LPD) are heterogeneous T- and B-...

Association between body composition and recurrence in stage II-III colon cancer: a retrospective cohort study.

INTRODUCTION: Colorectal Cancer (CRC) is a common cause of cancer death and prognostic factors are u...

Multiparametric MRI-Based Interpretable Machine Learning Radiomics Model for Predicting Neoadjuvant Chemotherapy Sensitivity and Recurrence-Free Survival in Breast Cancer.

RATIONALE AND OBJECTIVES: This study aimed to develop and validate an interpretable model using pret...

Multimodal AI Methods for Predicting Pathologic Complete Response in Breast Cancer.

Neoadjuvant chemotherapy (NAC) can eliminate all invasive cancer in some breast cancer patients, ach...

Pretreatment Prediction of Tumor Recurrence in Breast Cancer After Neoadjuvant Systemic Therapy Using Machine Learning With Clinical and CT Radiomics Features.

This study aimed to develop machine learning models for predicting tumor recurrence in breast cancer...

Precision Oncology via Radiotherapy-Triggered Drug Delivery: Mechanisms, Molecular Engineering, and Clinical Translation.

Radiotherapy-triggered drug delivery systems (RDDS) promise to integrate the spatial precision of io...

Predicting Synchronous Liver Metastasis in Pancreatic Cancer Using CT Radiomics and Clinical Features: A Machine Learning Approach.

RATIONALE AND OBJECTIVES: To address the challenge of preoperative prediction of synchronous liver m...

Uncoupling Type I Interferon Benefits From Inflammatory Toxicity: Transformer-Prioritized Precision Agonists for Potent and Safer Cancer Immunotherapy.

Paclitaxel (PTX) chemotherapy is constrained by an "immunomodulatory paradox," where antitumor Type ...

Radiologic, Pathologic, and Deep Learning Predictors of Response to Immune Checkpoint Blockade in Renal Cell Carcinoma Patients Undergoing Post-Treatment Nephrectomy.

Response assessment of primary kidney tumors in the consolidation cytoreductive and neoadjuvant sett...

The Lymph Node Ratio as a Predictive Biomarker for Individualized Benefit from Adjuvant Chemotherapy in Gastric Cancer: A Retrospective Cohort and Causal Machine Learning Study.

BACKGROUND: Optimizing adjuvant chemotherapy (AC) for gastric cancer (GC) remains challenging due to...

Neoantigen in cancer immunotherapy: mechanism, therapeutic strategies and future perspectives.

Neoantigens are tumor-specific antigens resulting from genetic, transcriptomic, and proteomic change...

Integrative single-cell sequencing and machine learning analyses identify chronic inflammation and cancer-associated fibroblast subsets as drivers of adverse outcomes in ovarian cancer.

BACKGROUND: Ovarian cancer remains the deadliest gynecological malignancy, with neoadjuvant chemothe...

Machine Learning-Guided Personalized Immunochemotherapy Strategies in Intrahepatic Cholangiocarcinoma.

BACKGROUND & AIMS: Immunochemotherapy (IO-chemo) has become standard care for patients with unresect...

Artificial Intelligence-based 3D Assessment of Alopecia Areata Using Clinical Photographs.

Super-resolution MRI and 2.5D deep learning for intratumoral-peritumoral radiomics in preoperative prediction of rectal cancer perineural invasion.

OBJECTIVES: Preoperative prediction of perineural invasion (PNI) in rectal cancer (RC) is challengin...

Molecular active learning approaches for predicting skin cytotoxicity.

Skin cytotoxicity assessment of small molecules is vital for assessing their risk of cytotoxicity up...

[Paeoniflorin alleviates cancer-related fatigue during chemotherapy for breast cancer by targeting EZH2/CCNE1 to regulate cell cycle and inflammatory microenvironment].

OBJECTIVES: To explore the molecular mechanisms and key pharmacodynamic basis of Baishao for allevia...

[Reflections on surgical management strategies for locally advanced gastric cancer after neoadjuvant immunotherapy].

Neoadjuvant immunotherapy is reshaping the treatment landscape of locally advanced gastric cancer (G...

Artificial intelligence-driven prediction of neoadjuvant chemotherapy response in adult patients with gastric cancer: a systematic review and meta-analysis.

OBJECTIVES: A substantial proportion of adults with locally advanced gastric cancer derive limited b...

[Endoscopic diagnostics and treatment of early neoplasia of the esophagus].

Endoscopic diagnostics and treatment of early esophageal neoplasia have achieved considerable progre...