Results 101 to 110 of about 487,238 (285)

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Correction to: Disability assessment using Google Maps. [PDF]

Neurol Sci, 2022
Lavorgna L, Iaffaldano P, Abbadessa G, Lanzillo R, Esposito S, Ippolito D, Sparaco M, Cepparulo S, Lus G, Viterbo R, Clerico M, Trojsi F, Ragonese P, Borriello G, Signoriello E, Palladino R, Moccia M, Brigo F, Troiano M, Tedeschi G, Bonavita S.   +20 more
europepmc   +1 more source

Disease universe: Visualisation of population-wide disease-wide associations [PDF]

, 2013
We apply a force-directed spring embedding graph layout approach to electronic health records in order to visualise population-wide associations between human disorders as presented in an individual biological organism.
Chang, Yo-Cheng, Enikeev, Ruslan, Li, Yu-Chuan, Moldovan, Max, Nguyen, Alex, Syed-Abdul, Shabbir   +5 more
core  

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

PENENTUAN TITIK KOORDINAT TERDEKAT TEMPAT LAYANAN KESEHATAN DI KOTA BANDA ACEH BERBASIS ANDROID PENENTUAN TITIK KOORDINAT TERDEKAT TEMPAT LAYANAN KESEHATAN DI KOTA BANDA ACEH BERBASIS ANDROID PENENTUAN TITIK KOORDINAT TERDEKAT TEMPAT LAYANAN KESEHATAN DI KOTA BANDA ACEH BERBASIS ANDROID [PDF]

, 2017
ABSTRAKTeknologi komputer berkembang sangat pesat saat ini. Kemajuan teknologi tersebut, sangat membantu manusia dalam menyelesaikan pekerjaan. Salah satu teknologi yang paling dibutuhkan adalah google map.
HABIBURRAHMAN
core  

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Personalized system for informing patients about critical levels of air pollution

Технічна інженерія
The article examines the issue of atmospheric air pollution and its impact on public health, substantiating the need for timely informing the population about critical pollution levels.
D.S. Chuiko, Yu.A. Tarnavski
doaj   +1 more source

Comparing Google Maps and Uber Movement Travel Time Data

Findings, 2019
The emergence and availability of crowd sourced data provide transport researchers with comprehensive coverage in their research subjects. However, difficulties in data validation and consistency between different sources pose a threat to the credibility
Hao Wu
doaj   +1 more source

AI Powered Biobanks From Static Archives to Dynamic Discovery Engines

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin, Yutian Feng, Wenrui Ma, Yuxin Su, Li Min, Juan Liu   +5 more
wiley   +1 more source

Addressing Label Sparsity With Class-Level Common Sense for Google Maps. [PDF]

Front Artif Intell, 2022
Welty C, Aroyo L, Korn F, McCarthy SM, Zhao S.   +4 more
europepmc   +1 more source