Results 191 to 200 of about 152,539 (295)
Jay\u27s Federalist - Treatise for Free Government [PDF]
Dietze, Gottfried
core +3 more sources
Integrating Spatial Proteogenomics in Cancer Research
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang +13 more
wiley +1 more source
Study protocol for exploring diabetes numeracy and health literacy across Europe (EDUCATE): A multicentre cross-sectional study. [PDF]
den Brok EJ +21 more
europepmc +1 more source
Workers and new technology. Disclosure and use of company information. European Information Bulletin No. 2, June 1985 [PDF]
core
Cyclic nucleotide‐gated (CNG) and hyperpolarization‐activated cyclic nucleotide‐gated (HCN) channels share substantial sequence and structural similarity but differ markedly in ion conductance and K+ selectivity. Microsecond‐scale atomistic MD simulations qualitatively reproduced the conductance differences observed in single‐channel recordings and ...
Haoran Liu +3 more
wiley +1 more source
ADAPTHEAT heatwaves and occupational health and safety in Hungary: the role of social dialogue. [PDF]
Tóth K.
europepmc +1 more source
Resident myonuclei are the molecular “control centers” for large multinuclear muscle fibers. It is presumed that, with aging, these control centers become compromised and contribute to delayed or blunted muscle adaptive potential. This study is a detailed roadmap that exposes how young versus aged myonuclei respond to a hypertrophic loading stimulus ...
Pieter J. Koopmans +8 more
wiley +1 more source
The use of hormonal contraceptives in high performance Brazilian female swimmers: a cross-sectional study. [PDF]
Carvalho AC +3 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

