We present a novel computational framework that combines Agent-Based Modeling (ABM) with Reinforcement Learning (RL) using the Double Deep Q-Network (DDQN) algorithm to determine cellular behavior in ...

One intrinsic characteristic of Triple Negative Breast Cancer (TNBC) is its high plasticity, resulting in heterogeneous cancer cell subpopulations with distinct interactions with the immune system. To ...

ATCC and the Broad Institute report the development of engineered isogenic cancer models designed to replicate resistance to targeted therapies, beginning with osimertinib, the latest-generation ...

Mayo Clinic researchers have developed and evaluated MedEduChat, an electronic health record (EHR) that works with a large language model to provide accurate, patient-specific prostate cancer ...

A next-generation AI model uncovers invisible signs of pancreatic cancer on standard CT scans long before symptoms appear, potentially transforming early detection and improving outcomes in one of the ...

After a patient is diagnosed with cancer, modern cancer care increasingly turns to genetic testing to get more information about the tumor and guide treatment options. When there’s a strong link ...

AI for cancer treatment is definitely a powerful and transformative tool, but there are several challenges due to its functional and reasoning capabilities. For example, the large language model-based ...

A model based on proteins vs. a questionnaire had higher discrimination in predicting lung cancer risk in individuals with a smoking history, according to data presented at the American Thoracic ...

A carefully designed metal-free carbon monoxide prodrug may help prevent some of the deadliest forms of cancer from spreading, according to researchers at Weill Cornell Medicine.