Results 151 to 160 of about 15,028,562 (329)

Local Recurrence and Oncological Outcomes After Transanal Total Mesorectal Excision With Intersphincteric Resection for Lower Rectal Cancer: A Nationwide Multicenter Cohort Study (Ta‐Ta‐Mi Study)

Annals of Gastroenterological Surgery, EarlyView.
The 3‐year local recurrence (LR), recurrence‐free survival, and overall survival rates were 7.3%, 79.5%, and 98.1%, respectively. Multivariable analysis identified circumferential resection margin (CRM)/radial margin (RM) positivity as an independent risk factor for LR.
Kan Tanabe, Shinichiro Mori, Kenji Baba, Takeru Matsuda, Ichiro Takemasa, Koji Okabayashi, Chikayoshi Tani, Tatsuya Manabe, Yoshihiro Kakeji, Takao Ohtsuka, Seiichiro Yamamoto, Takeshi Naitoh, Ta‐Ta‐Mi Study Group Collaborative of the Japan Society of Laparoscopic Colorectal Surgery   +12 more
wiley   +1 more source

Other title: Audit of selected housing programs at the Department of Commerce; Other title: Examining issues relating to selected housing programs at the Department of Commerce

, 1991
"A report to the Legislative Post Audit Committee"--Cover.; "November 1991"--Cover.; "This audit provides descriptive information about two housing-related programs not covered in our earlier performance audit: Examining issues ...
Riggs, Rick.
core  

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

Advanced 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, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

Annual report : Legislative Post Audit Committee and the Legislative Division of Post Audit, fiscal year 1980.

, 1980
"A Report to the Kansas Legislature by the Legislative Post Audit Committee, state of Kansas."; "December 1, 1980."Constitutes the annual report of the ...
Kansas. Legislative Post Audit Committee.
core   +1 more source

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

Advanced 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, Manuel Raimann, Marc Münker, Maxim Rosin, Joaquin E. Urrutia Gómez, Christof M. Niemeyer, Markus Reischl, Luca Rettenberger   +7 more
wiley   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

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

, 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

Artificial Intelligence (AI) and Agribusiness: From Automation to Augmentation in a Global Context

Agribusiness, EarlyView.
Alexis H. Villacis
wiley   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
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, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

Advanced Intelligent Discovery, EarlyView.
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, Sile Hu, Rigahai Ji, Riguna A, Siqige Hao, Ma Zhuo, Yi‐Hung Chen, Bisihalatu Hu, Ulana Bai, Xigui Hada   +9 more
wiley   +1 more source