Results 161 to 170 of about 56,111 (303)
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
Examining the Sustainability of Core Capacity and Evidence-Based Interventions for FIT-Based CRC Screening: California Colorectal Cancer Control Program. [PDF]
Omelu N +12 more
europepmc +1 more source
Adherence to CRC Screening and Surveillance Guidelines when Using Split-Dose Bowel Preparation. [PDF]
Menees SB +4 more
europepmc +1 more source
Therapeutic Gases in Biomedicine: Updates on Nitric Oxide and Beyond
Therapeutic gases, including NO, CO, H2S, H2, CO2, O2, and Xe, play vital roles in cellular signaling and repair. This review highlights the emerging carriers and delivery systems that enable controlled, localized gas release for diagnostic and therapeutic applications.
Syed Muntazir Andrabi +4 more
wiley +1 more source
Colorectal cancer is characterized by an immunosuppressive microenvironment that limits immunotherapy efficacy. We identify a senescence‐like state in germinal center B cells driven by the PRELID1–VDAC3 axis, which promotes IL‐7 secretion, alleviates CD8+ T‐cell exhaustion, and enhances antitumor immunity. Targeting this pathway improves responsiveness
Yuhan Liao +8 more
wiley +1 more source
COLSCREEN: 16S-sequencing of fecal microbiota from a population-based CRC screening program
Elies Ramon +11 more
openalex +1 more source
Integrating Human Intestinal Organoids into FDA'S New Approach Methodologies for Drug Discovery
Illustration summarizes how human intestinal organoids (HIOs) are becoming transformative in preclinical research. Preclinical drug discovery pipelines often rely on animal models for ADMET studies, even though interspecies ADME gaps, poor external validity, and high attrition rates are common.
Debarun Patra +6 more
wiley +1 more source

