Results 251 to 260 of about 2,738,424 (374)
Artificial Intelligence Versus Professional Standards: A Cross-Sectional Comparative Study of GPT, Gemini, and ENT UK in Delivering Patient Information on ENT Conditions. [PDF]
Alabdalhussein A +7 more
europepmc +1 more source
The Internet Knowledge Manager, Dynamic Digital Libraries, and Agents You Can Understand
Adrian Walker
openalex +1 more source
RKIP, a metastasis suppressor protein, modulates key oncogenic pathways in lung adenocarcinoma. In silico analyses linked low RKIP expression to poor survival. Functional studies revealed RKIP overexpression reduces tumor aggressiveness and enhances sensitivity to EGFR‐targeted therapies, while its loss promotes resistance.
Ana Raquel‐Cunha +10 more
wiley +1 more source
Which explanations do clinicians prefer? A comparative evaluation of XAI understandability and actionability in predicting the need for hospitalization. [PDF]
Bergomi L +19 more
europepmc +1 more source
AZD9291 has shown promise in targeted cancer therapy but is limited by resistance. In this study, we employed metabolic labeling and LC–MS/MS to profile time‐resolved nascent protein perturbations, allowing dynamic tracking of drug‐responsive proteins. We demonstrated that increased NNMT expression is associated with drug resistance, highlighting NNMT ...
Zhanwu Hou +5 more
wiley +1 more source
AI-Driven Large Language Models in Health Consultations for HIV Patients. [PDF]
Zhao CY +7 more
europepmc +1 more source
PARP inhibitors are used to treat a small subset of prostate cancer patients. These studies reveal that PARP1 activity and expression are different between European American and African American prostate cancer tissue samples. Additionally, different PARP inhibitors cause unique and overlapping transcriptional changes, notably, p53 pathway upregulation.
Moriah L. Cunningham +21 more
wiley +1 more source
Assessment of the Artificial Intelligence- Generated Fibromyalgia Information: Beyond the Hype. [PDF]
Zure M, Menekşeoğlu AK.
europepmc +1 more source
Using two-jet events to understand hadronization [PDF]
P. Edén, Gösta Gustafson
openalex +1 more source
Decrypting cancer's spatial code: from single cells to tissue niches
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik +4 more
wiley +1 more source

