Chemotherapy

Development and validation of pathomics signature for predicting prognosis of advanced high-grade serous ovarian carcinoma patients after platinum-based chemotherapy.

In patients with advanced high-grade serous ovarian carcinoma (HGSOC), the standard treatment typically involves platinum-based chemotherapy after debulking surgery. However, the prognosis of patients following platinum-based chemotherapy varies, and known prognostic factors do not fully explain this variability. Therefore, developing an accurate and validated prognostic tool is essential. This st...

Explainable AI reveals squamous histology and U-shaped PD-L1 patterns as primary subgroup predictors of neoadjuvant and perioperative immunotherapy benefit in NSCLC: a machine learning analysis.

BACKGROUND: The introduction of neoadjuvant and perioperative immunotherapy has broadened treatment options for resectable non-small cell lung cancer (NSCLC). However, clinical benefit varies across subpopulations, and standard linear models cannot fully capture the complex feature interactions and trial-level differences found in aggregate data. METHODS: We applied an integrated framework combini...

Predicting Treatment Response After Total Neoadjuvant Therapy for Locally Advanced Rectal Cancer.

OBJECTIVE: To develop a predictive model for pathological complete response (pCR) after total neoadjuvant therapy (TNT) to inform selection for watch-...

Development and validation of an interpretable machine learning model for predicting postoperative complications after transanal total mesorectal excision: a multicenter study.

OBJECTIVE: This study aimed to develop and externally validate an interpretable machine learning (ML) model for predicting postoperative complications...

Atopic dermatitis.

Atopic dermatitis (AD) is the most common inflammatory skin disease and carries the highest disability-adjusted life-years burden, ranking 15th among ...

Multi-omic biomarkers of neoadjuvant treatment response in rectal cancer: A narrative review.

BACKGROUND: Neoadjuvant treatment response in rectal cancer is highly heterogeneous, complicating patient selection for organ-preservation strategies....

CeO2 Nanozymes as redox regulators: Reprogramming of reactive oxygen species (ROS) signaling for plant climate resilience.

Climate change-induced abiotic stress, including heat, cold, salinity, and drought, increasingly threaten global crop productivity. These challenges h...

A Foundation Model Based CT Biomarker for Non-Invasive Prediction of Response to Neoadjuvant Immunochemotherapy in Non-Small Cell Lung Cancer.

Predicting pathological complete response (pCR) to neoadjuvant immunochemotherapy in non-small cell lung cancer (NSCLC) is clinically important yet re...

Machine learning-based identification of high-risk triple-negative breast cancer patients despite pathological complete response after neoadjuvant chemotherapy.

The binary pathological complete response (pCR) status of triple-negative breast cancer (TNBC) patients after neoadjuvant chemotherapy (NAC) inadequat...

Deep learning prediction of pathological complete response in breast cancer using Mamba architecture.

Deep learning is capable of efficiently predicting the therapeutic efficacy of neoadjuvant chemotherapy (NAC) in breast cancer. However, current metho...

Perihilar Cholangiocarcinoma in Primary Sclerosing Cholangitis.

This clinical review details the current approach for the detection and management of perihilar cholangiocarcinoma in patients with primary sclerosing...

Landscape of T-cell bispecific antibodies in cancer therapy: therapeutic strategies, challenges and future prospection.

T-cell bispecific antibodies (TCBs), a specialized subclass of bispecific antibodies (BsAbs), are engineered to simultaneously engage T cells and tumo...

Machine learning assessment of pathologic response in lung cancer resections after neoadjuvant therapy - IASLC MPR Project.

INTRODUCTION: Machine learning algorithms may improve efficiency and accuracy of pathologic response (PR) assessment in surgically resected lung cance...

Interpretable machine learning model for predicting operative difficulty in robotic total mesorectal excision for mid-low rectal cancer.

Precise preoperative prediction of surgical complexity in robot-assisted total mesorectal excision (R-TME) is essential for optimizing surgical strate...

Feasibility and Preliminary Effectiveness of the ChulaCancer Mobile Chatbot for Supportive Care of Patients With Breast or Colorectal Cancer Receiving Chemotherapy: Pilot Randomized Controlled Trial.

BACKGROUND: Chemotherapy-related toxicities often lead to unscheduled health care use and diminished quality of life. Digital health interventions, su...

Conditional survival patterns and individualized prognostic prediction in malignant peritoneal mesothelioma.

Malignant peritoneal mesothelioma (MPM) is a rare, aggressive cancer with limited treatment options and extremely poor survival outcomes. Due to the d...

Predicting Positive Surgical Margins in Robot-Assisted Prostatectomy Using Machine Learning Models.

OBJECTIVE: To develop a machine learning (ML) model predicting positive surgical margins (PSM) after robot-assisted radical prostatectomy (RARP). METH...

Deep Learning Assisted Motion Behavior Analysis of Catalytic Micromotors Based on Trajectory and Optical Flow.

Investigating micro/nanomotors' (MNMs') motion behavior is crucial for their practical applications and fundamental understanding of propulsion mechan...

Neoadjuvant Immunotherapy in Locally Advanced Head and Neck Squamous Cell Carcinoma: From Oncologic Outcomes to Response-Adaptive Treatment De-escalation.

BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) are associated with poor 5-year survival and substantial treatment-related morbidity. Neoadj...

Integrating handcrafted and deep learning MRI signatures: an interpretable framework for predicting chemotherapy benefit in glioma.

The molecular and spatial heterogeneity of gliomas severely limits accurate prediction of postoperative adjuvant chemotherapy efficacy, representing a...