Results 211 to 220 of about 11,564,095 (404)
Development of 4T1 breast cancer mouse model system for preclinical carbonic anhydrase IX studies
Carbonic anhydrase IX (CAIX) is a well‐recognised therapeutic target and prognostic biomarker in cancer. We developed and characterised a robust murine breast cancer model system that is suitable for CAIX studies in vitro and in vivo—it comprises both CAIX‐positive and CAIX‐negative controls and provides a solid platform for the comprehensive ...
Zane Kalniņa+13 more
wiley +1 more source
A fast procedure for generating normal random variables [PDF]
George Marsaglia+2 more
openalex +1 more source
Understanding and Overcoming Immunotherapy Resistance in Skin Cancer: Mechanisms and Strategies
This narrative review explores the mechanisms driving immunotherapy resistance in skin cancer, including tumor microenvironment factors, genetic mutations, and immune evasion strategies. It highlights potential strategies to overcome resistance, offering insights for improving therapeutic outcomes and guiding future research in personalized ...
Shreya Singh Beniwal+8 more
wiley +1 more source
The central limit problem for mixing sequences of random variables [PDF]
Walter Philipp
openalex +1 more source
ABSTRACT Purpose To assess the long‐term effects of a community cancer exercise program on quality of life, fatigue, weight, waist circumference, physical activity levels, lower extremity strength, body mass index (BMI), heart rate, and blood pressure, across non‐metastatic and metastatic patients.
Isaac Oppong, Roozbeh Naemi
wiley +1 more source
Generating discrete random variables in a computer [PDF]
George Marsaglia
openalex +1 more source
A review of artificial intelligence in brachytherapy
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen+4 more
wiley +1 more source
On the tail behavior of sums of independent random variables [PDF]
Leo Breiman
openalex +1 more source
Abstract Purpose Studies on deep learning dose prediction increasingly focus on 3D models with multiple input channels and data augmentation, which increases the training time and thus also the environmental burden and hampers the ease of re‐training. Here we compare 2D and 3D U‐Net models with clinical accepted plans to evaluate the appropriateness of
Rosalie Klarenberg+2 more
wiley +1 more source