Results 161 to 170 of about 24,203,637 (299)

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

Advanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira, Marcos de C. Leite, Pedro H. M. Zanineli, Juliana N. Y. Costa, Débora M. Cunha, Sophia P. Serra, Pedro H. Sophia, Flávio M. Shimizu, Yasmin W. Moura, Célio C. Oliveira, Gabriel R. Schleder, Gabriela F. Persinoti, Leandro Merces, Renato S. Lima   +13 more
wiley   +1 more source

An interactive dashboard for analyzing user interaction patterns in the i2b2 clinical data warehouse. [PDF]

BMC Med Inform Decis Mak
Baum L, Müller A, Johns M, Abu Attieh H, Halilovic M, Milicevic V, Neves DT, Otte K, Pasquier A, Wirth FN, Segelitz P, Schönrath K, Weber JE, Prasser F.   +13 more
europepmc   +1 more source

Machine Learning‐Assisted Second‐Order Perturbation Theory for Chemical Potential Correction Toward Hubbard U Determination

Advanced Intelligent Discovery, EarlyView.
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun, Tong Wu, Baian Chen, Zikang Li, Qiuyang Lu, Lu Lu, Hon Ho Wong, Cheuk Hei Chan, Bolong Huang   +8 more
wiley   +1 more source

The Pediatrix BabySteps® Data Warehouse — A Unique National Resource for Improving Outcomes for Neonates

Indian Journal of Pediatrics, 2015
A. Spitzer, D. Ellsbury, R. Clark
semanticscholar   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

Creating a data warehouse to support monitoring of NSQHS blood management standard from EMR data. [PDF]

BMC Med Inform Decis Mak
Cheng-Zarate D, Burns J, Ngo C, Haryanto A, Duncan G, Taniar D, Wybrow M.   +6 more
europepmc   +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

Advancing Efficient Error Reduction in DNA Data Storage Systems with Deep Learning‐Based Denoising Models

Advanced Intelligent Discovery, EarlyView.
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo, Anshula Tandon, Nguyen Kim Uyen, Quoc Nam Le, Jee‐Hyong Lee, Sung Ha Park   +5 more
wiley   +1 more source

Radiochemotherapy for salivary gland adenoid cystic carcinoma: survival assessment through a retrospective study exploiting real-world data extracted from data warehouse. [PDF]

ESMO Real World Data Digit Oncol
Cavalieri S, Lombardi Stocchetti B, Crippa N, Silvestri C, Villa C, Ghelardi F, Baili P, Bonfarnuzzo S, Cavallo I, Iacovelli NA, Franceschini M, Filippi AR, Orlandi E, Deganello A, Cristofaro V, Bergamini C, Alfieri S, Nuzzolese I, Colombo E, Ottini A, Calareso G, Quattrone P, Licitra L.   +22 more
europepmc   +1 more source

Data mining-based algorithm for storage location assignment in a randomised warehouse

International Journal of Production Research, 2017
K. Pang, H. Chan
semanticscholar   +1 more source