Results 81 to 90 of about 58,413 (245)
Model‐Driven Optimization of Subcutaneous Polymer Prodrugs Achieves Cancer Remission in Mice
A pharmacokinetics/pharmacodynamics (PK/PD) model was developed to evaluate multiple dosing regimens for subcutaneously administered water‐soluble polymer prodrug for cancer therapy. The model enabled prediction of in vivo performance and contributed to the optimization of anticancer efficacy.
Anne Rodallec +5 more
wiley +1 more source
Survival analysis is used to study the timing of an event, such as recovery or death, in the context of medical data. One of the diseases that many people suffer from is stroke.
Tentri Ryan Rahmanita +4 more
doaj +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
This systematic review and meta‐analysis of 38 studies, encompassing over 5000 patients, compared extralevator abdominoperineal excision (ELAPE) with standard abdominoperineal excision (APE) in patients with advanced low rectal cancer. ELAPE was associated with significantly improved overall and disease‐free survival, reduced intraoperative perforation
Sarolta Beáta Kávási +7 more
wiley +1 more source
This multicenter retrospective cohort study compared mid‐term oncological outcomes between intracorporeal anastomosis (IA) and extracorporeal anastomosis (EA) in minimally invasive colectomy for colon cancer using propensity score–matched data from 2018 to 2022.
Takuya Takami +9 more
wiley +1 more source
Alcohol relapse after liver transplantation is difficult to predict using abstinence duration alone. We developed a multifactor model integrating abstinence duration, psychosocial risk (SIPAT), and socioeconomic context (AUC 0.70). This approach may support individualized risk assessment and tailored follow‐up intensity; external validation is needed ...
Ayato Obana +9 more
wiley +1 more source
Analyzing Competing Risks with Progressively Type-II Censored Data in Dagum Distributions
Competing risk models are essential in survival analysis for studying systems with multiple mutually exclusive failure events. This study investigates the application of competing risk models in the presence of progressively Type-II censored data for the
Raghd Badwan, Reza Pakyari
doaj +1 more source
ABSTRACT Background Determining whether to resect disappearing liver metastases (DLMs) after chemotherapy for colorectal liver metastases (CRLMs) remains challenging. Methods Patients who underwent hepatectomy after systemic chemotherapy for initially unresectable CRLMs were reviewed. True complete response (CR) was defined as either resected DLMs with
Taihei Soma +9 more
wiley +1 more source
Unlike deceased‐donor liver transplantation, living‐donor liver transplantation (LDLT) for Budd‐Chiari Syndrome (BCS) presents distinctive challenges in hepatic venous (HV)‐outflow reconstruction because diseased HV–inferior vena cava (IVC) cannot be entirely replaced with healthy donor vessels.
Koichiro Hata +4 more
wiley +1 more source
Mathematical Modeling of Operational Reliability of Mine Lifting Equipment Based on Censored Data
In this study, a comprehensive mathematical method for modeling the operational reliability of mine hoisting equipment under conditions of incomplete and heavily censored data is developed.
Denis A. Zadkov +6 more
doaj +1 more source

