Results 111 to 120 of about 8,992,089 (245)

Achievement of the Ideal Outcome After Pancreatectomy for Pancreatic Ductal Adenocarcinoma Is Associated With Earlier Initiation and Higher Completion Rates of Adjuvant Chemotherapy and Improved Long‐Term Survival

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background The Ideal Outcome is a composite quality indicator reflecting optimal postoperative course after pancreatic surgery. This study aimed to clarify the prognostic significance of achieving the Ideal Outcome and its influence on the initiation and completion of adjuvant chemotherapy.
Ryosuke Fukushima   +9 more
wiley   +1 more source

Biennial report : Legislative Post Audit Committee and the Legislative Division of Post Audit, fiscal years 1981 and 1982.

open access: yes, 1982
"A Report to the Kansas Legislature by the Legislative Post Audit Committee, state of Kansas."; "September 3, 1982.
Kansas. Legislative Post Audit Committee.
core   +1 more source

Audit of selected funds at Kansas State Penitentiary

open access: yes, 1983
"A Report to the Legislative Post Audit Committee"--Cover.; "April 1983 ...
Hafner, Leo M.
core  

Soldiers' and veterans' homes [2002 audit]

open access: yes, 2002
"A report to the Legislative Post Audit Committee."; "November 2002 ...
Tongier, Randy.
core   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing   +4 more
wiley   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer   +3 more
wiley   +1 more source

LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?

open access: yesAdvanced Intelligent Discovery, EarlyView.
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler   +7 more
wiley   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath   +4 more
wiley   +1 more source

Annual report : activities of the Legislative Post Audit Committee and the Legislative Division of Post Audit, fiscal year 1977.

open access: yes, 1976
"A Report to the Kansas Legislature by the Legislative Post Audit Committee, state of Kansas."; "December 20, 1977."Constitutes the annual report of the ...
Kansas. Legislative Post Audit Committee.
core   +1 more source

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