Results 141 to 150 of about 240,433 (353)
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 review outlines bottom‐up and biomimetic fabrication strategies of quantum dots, and highlights their emerging applications in biosensing, multimodal bioimaging, and intelligent cancer theranostics. It further discusses key translational barriers and future perspectives for advancing QD‐based nanomedicine toward clinical implementation.
Jie Ju +5 more
wiley +1 more source
A substantial proportion of apparently heterozygousTP53pathogenic variants detected with a next‐generation sequencing hereditary pan‐cancer panel are acquired somatically [PDF]
Bradford Coffee +6 more
openalex +1 more source
Australia cohort of THASSOS‐INTL; non‐interventional, multicenter, retrospective study provides insights into treatment patterns and associated survival outcomes in patients with resectable stage I‐III NSCLC in the pre‐immunotherapy era. Neoadjuvant and adjuvant therapy was reported in < 10% and < 40% patients, respectively.
Pei Ding +4 more
wiley +1 more source
Using real-time qPCR to evaluate RNAi-mediated gene silencing [PDF]
De Clercq, S +8 more
core +2 more sources
Systematic Inspection of the Clinical Relevance of TP53 Missense Mutations in Gastric Cancer [PDF]
Seong Ryeol Moon +5 more
openalex +1 more source
ABSTRACT Background The Department of Gastroenterological Surgery at Kumamoto University has maintained a commitment to integrating cutting‐edge clinical practice with fundamental research, particularly concerning malignant diseases of the digestive tract.
Hideo Baba +4 more
wiley +1 more source

