Longitudinal Surveillance of Gastric Polyposis in Familial Adenomatous Polyposis: Incidence, Progression, and Endoscopic Outcomes. [PDF]
Hüneburg R +10 more
europepmc +1 more source
Living Hydrogels: Harnessing Microorganism–Material Synergy for Next‐Generation Therapeutics
. ABSTRACT Microorganism‐based therapies, particularly those utilizing probiotics, have emerged as a powerful biomedical strategy owing to their inherent living functionalities. These living systems can dynamically interact with host environments and self‐regulate their activity, offering superior adaptability, prolonged functionality, and ...
Shuifang Mao +3 more
wiley +1 more source
Colonoscopic surveillance without prophylactic colectomy in familial adenomatous polyposis: who are the appropriate candidates? [PDF]
Lee HJ.
europepmc +1 more source
Haplotype‐Resolved 3D Genomic Landscapes and Their Impacts on Agronomic Traits in Grapevine
This study presents a haplotype‐resolved 3D genomic landscape of grapevine, revealing that structural variations (SVs) are closely associated with phased topologically associating domain (TAD) boundary transitions. These rearrangements coordinate with allele‐specific DNA methylation (ASM) and allele‐biased gene expression (ASE) to shape key agronomic ...
Yanling Peng +18 more
wiley +1 more source
Preparedness for the emerging risk of yellow fever in the Americas. [PDF]
Chapman HJ +4 more
europepmc +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
Respiratory virus surveillance in the post-pandemic era: challenges and opportunities for dashboard-based public health action. [PDF]
Halley A +17 more
europepmc +1 more source
This manuscript presents the WDMS platform, an AI‐assisted, self‐powered wearable dual‐mode sensor for tele‐neurology. It integrates a contact–separation TENG insole with stretchable polyurethane optical‐fiber strain sensors to synchronously track plantar pressure and lower‐limb muscle deformation.
Tianliang Li +12 more
wiley +1 more source

