Results 181 to 190 of about 607,451 (374)

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Multi-modal brain data exploration software for imaging transcriptomics: A comparative evaluation and future directions. [PDF]

Imaging Neurosci (Camb)
Peherstorfer T, Burger B, Ulonska S, Haubensak W, Bühler K.   +4 more
europepmc   +1 more source

Diagnostic Evaluation Dataset for Web of Science Smart Search vs. Advanced Search: A Controlled, Tiered Comparative Analysis with Query Parsing and Relevance Judgment Data

Weizhi Yang, Monamorn Precharattana
openalex   +1 more source

Web search intent induction via automatic query reformulation [PDF]

, 2004
Hal Daumé, Eric Brill
openalex   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Transforming wearable data into personal health insights using large language model agents. [PDF]

Nat Commun
Merrill MA, Paruchuri A, Rezaei N, Kovacs G, Perez J, Liu Y, Schenck E, Hammerquist N, Sunshine J, Tailor S, Ayush K, Su HW, He Q, McLean CY, Malhotra M, Patel S, Zhan J, Althoff T, McDuff D, Liu X.   +19 more
europepmc   +1 more source

Understanding Users Intent by Deducing Domain Knowledge Hidden in Web Search Query Keywords

, 2013
Nachiket BhagwantKamat, Geeta Varkey
openalex   +1 more source