Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang +12 more
wiley +1 more source
Markers of Excellence: Professional Development Opportunities in an Organic Chemistry CURE. [PDF]
Boyd EA, Andersen CI, Walker JP.
europepmc +1 more source
T Cell Exhaustion in Cancer Immunotherapy: Heterogeneity, Mechanisms, and Therapeutic Opportunities
T cell exhaustion limits immunotherapy efficacy. This article delineates its progression from stem‐like to terminally exhausted states, governed by persistent antigen, transcription factors, epigenetics, and metabolism. It maps the exhaustion landscape in the TME and proposes integrated reversal strategies, providing a translational roadmap to overcome
Yang Yu +7 more
wiley +1 more source
Management of Peptide Receptor Radionuclide Therapy Toxicities in Neuroendocrine Neoplasm Patients. [PDF]
Mohindroo C, Ramirez RA.
europepmc +1 more source
Herding Cats: Collective-Action Clauses in Sovereign Debt — The Genesis of the Project To Change Market Practice in 2001 Through 2003 [PDF]
Quarles, Randal
core +1 more source
Osteosarcoma stemness is driven by the ITGB2‐COPS3‐SOX2 signaling axis. This study reveals that nuclear COPS3 stabilizes SOX2, which in turn undergoes liquid‐liquid phase separation to promote stemness. Based on this mechanism, a novel COPS3 inhibitor, Z‐5891, was developed, effectively suppressing tumor growth and stemness in vivo, offering a ...
Lei Guo +7 more
wiley +1 more source
Strengthening primary health care resilience through community innovation: a qualitative case study from Quito's response to COVID-19. [PDF]
Tello B, Dueñas-Espín I, Di Giorgio L.
europepmc +1 more source
New challenges require new types of health services research [PDF]
De Maeseneer, Jan, Willems, Sara
core +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
Reducing wait times for hospital-based outpatient mental healthcare: what works? [PDF]
Oneschuk H +3 more
europepmc +1 more source

