Results 61 to 70 of about 22,175 (243)

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source

Full‐Body AI Agent: A Perspective on Multi‐Scale Collaborative AI for Systemic Biology and Precision Medicine

Advanced Science, EarlyView.
We propose the Full‐Body AI Agent, a multi‐scale collaborative framework with 7 biological‐layer agents. It unifies multi‐omics/clinical data via standardized protocols, enabling phenotype‐guided closed‐loop reasoning, quantitative evaluation, and LLM safeguards, with promising applications in tumor metastasis modeling and precision drug development ...
Aoqi Wang, Jiajia Liu, Jianguo Wen, Yangyang Luo, Zhiwei Fan, Liren Yang, Xi Hu, Ruihan Luo, Yankai Yu, Sophia Li, Weiling Zhao, Xiaobo Zhou   +11 more
wiley   +1 more source

An Evaluation of the United Kingdom Motor Neuron Disease Nurses and Allied Health Professionals (UK MND NAHP) Workforce: A Census.

PLoS ONE
According to the National Institute for Health and Care Excellence, motor neuron disease assessment and management should be a coordinated, clinic-based, multidisciplinary team approach.
Isaac Chau, Ethan Stoker, Jessica Gill, Judith Newton, United Kingdom Motor Neuron Disease Nurses and Allied Health Professionals Consortium   +4 more
doaj   +1 more source

The Impact of Auditor Rotation on the Audit Quality: A Field Study from Egypt [PDF]

Lack of audit quality and subsequent audit failures result mainly from a lack of independence which is considered to be a consequence of the extended auditor client relationship.
Diana Mostafa, Magda Hussien
core  

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
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, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

A Broader Perspective on the Connection Between Audit Committee and Audit Report Lag

The article investigates the relationship between audit committee composition and audit report lag in the context of a developed country where the governance environment is well-established.
Sadaka, Sami, Jizi, Mohammad I., Nehme, Rabih   +2 more
core   +1 more source

The use of routine outcome measures in two child and adolescent mental health services: a completed audit cycle [PDF]

, 2013
Background: Routine outcome measurement (ROM) is important for assessing the clinical effectiveness of health services and for monitoring patient outcomes. Within Child and Adolescent Mental Health Services (CAMHS) in the UK the adoption of ROM in CAMHS
Marriott, Michael, Baldwin, L, Taylor, J, Newell, Karen, Taylor, John, Hall, Charlotte L., Moldavsky, Maria, Charlotte L Hall, Hollis, Chris, Karen Newell, Laurence Baldwin, Hall, CL, Hollis, C, Marriott, Mike, Maria Moldavsky, Taylor, John A., Chris Hollis, Hall, Charlotte, Moldavsky, M, Sayal, K, Newell, K, Hall, Charlotte L, John Taylor, Kapil Sayal, Sayal, Kapil, Marriott, M, Michael Marriott, Baldwin, Laurence   +27 more
core   +1 more source

TME/NIR Dual‐Responsive Zinc‐Based Targeted Nanoagonist for Multimodal Amplification of STING‐Mediated Cancer Immunotherapy

Advanced Science, EarlyView.
A multifunctional nanoagonist (cDZ@IP) enables nano‐metabolite–driven multimodal activation of the STING pathway and enhanced immune recognition, achieving potent antitumor immunity and suppressing tumor growth and metastasis. This strategy highlights the rational design of therapeutic metabolites and establishes a new paradigm bridging nanomedicine ...
Kepeng Hu, Jiawei Wang, Wei Zhang, Zhixuan Wu, Jing Chen, Yujing He, Xiyue Duan, Yaoting He, Xin Xin, Haoyi Xiang, Yijing Wang, Chengwei Wu, Yang Yi, Qing Meng, Yuqian Qiao, Kui Cheng, Xiaojun Long, Zhangfa Song   +17 more
wiley   +1 more source

日本における拡充された監査報告書の内容と特徴 : 国際的視点を取り入れて [PDF]

This paper presents changes in the content of audit reports in Japan, analyzes their institutional background, and discusses how international factors have influenced them to clarify the points at which audit reports in Japan have evolved, as well as ...
SEMBA, Hu Dan, 仙場, 胡丹
core   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source