Results 161 to 170 of about 133,289 (309)
"A Report to the Kansas Legislature by the Legislative Post Audit Committee, state of Kansas."; "January 16, 1980."Constitutes the annual report of the ...
Kansas. Legislative Post Audit Committee.
core
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
"A Report to the Kansas Legislature by the Legislative Post Audit Committee, state of Kansas."; "December 22, 1978."Constitutes the annual report of the ...
Kansas. Legislative Post Audit Committee.
core
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source
"A Report to the Kansas Legislature by the Legislative Post Audit Committee, state of Kansas."; "September 3, 1982.
Kansas. Legislative Post Audit Committee.
core
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Is auditor financial decision-making affected by prior audit report information? A behavioral approach. [PDF]
Muñoz-Izquierdo N +3 more
europepmc +1 more source
Cover title.; "A report to the Legislative Post Audit Committee."; "February 2004 ...
Murdie, Laurel.
core
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source

