Results 291 to 300 of about 3,779,106 (381)

Data‐Driven Feedback Identifies Focused Ultrasound Exposure Regimens for Improved Nanotheranostic Targeting of the Brain

Advanced Science, EarlyView.
Machine learning models predict in real time the onset of harmful microbubble collapse during microbubble‐enhanced focused ultrasound (MB‐FUS) and enable dynamic adjustment of sonication to prevent cavitation‐induced damage. This predictive control expands the safe operating window for bloodbrain barrier opening, enhancing nanoparticle delivery and ...
Hohyun Lee, Victor Menezes, Shiqin Zeng, Chulyong Kim, Cynthia M. Baseman, Jae Hyun Kim, Samhita Padmanabhan, Pranav Premdas, Naima Djeddar, Anton Bryksin, Nikhil Pandey, Pavlos Anastasiadis, Anthony J. Kim, Tobey J. MacDonald, Chetan Bettegowda, Graeme F. Woodworth, Felix J. Herrmann, Costas Arvanitis   +17 more
wiley   +1 more source

AI-enhanced bilingual banking assistant. [PDF]

Sci Rep
Bhatia MS, Khetarpaul S.
europepmc   +1 more source

DB-BERT: A Transformer-Based Approach for Predicting SQL Query Difficulty from Natural Language Questions

Dutta, Debayan, Mohankumar, P
openalex   +1 more source

Multi‐View Biomedical Foundation Models for Molecule‐Target and Property Prediction

Advanced Science, EarlyView.
Molecular foundation models can provide accurate predictions for a large set of downstream tasks. We develop MMELON, an approach that integrates pre‐trained graph, image, and text foundation models and validate our multi‐view model on over 120 tasks, including GPCR binding.
Parthasarathy Suryanarayanan, Yunguang Qiu, Shreyans Sethi, Diwakar Mahajan, Hongyang Li, Yuxin Yang, Elif Eyigoz, Aldo Guzmán‐Sáenz, Daniel E. Platt, Timothy H. Rumbell, Kenney Ng, Sanjoy Dey, Myson Burch, Bum Chul Kwon, Pablo Meyer, Feixiong Cheng, Jianying Hu, Joseph A. Morrone   +17 more
wiley   +1 more source

A strategic approach to multi-omics literature retrieval in next generation mammalian cell bioprocessing. [PDF]

NPJ Syst Biol Appl
Price E, Dikicioglu D.
europepmc   +1 more source

CACLENS: A Multitask Deep Learning System for Enzyme Discovery

Advanced Science, EarlyView.
CACLENS, a multimodal and multi‐task deep learning framework integrating cross‐attention, contrastive learning, and customized gate control, enables reaction type classification, EC number prediction, and reaction feasibility assessment. CACLENS accelerates functional enzyme discovery and identifies efficient Zearalenone (ZEN)‐degrading enzymes.
Xilong Yi, Yingzhu Tan, Huikang Lin, Guoqing Zhang, Ye Tian, Aibo Wu   +5 more
wiley   +1 more source

A Multi-Agent LLM Network for Suggesting and Correcting Human Activity and Posture Annotations. [PDF]

Proc ACM Int Conf Ubiquitous Comput
Le H, Choube A, Swain VD, Mishra V, Intille S.   +4 more
europepmc   +1 more source

Public Omics Explorer (POE): Enabling integrative semantic search across GEO omics datasets based on PubMed publications. [PDF]

Comput Struct Biotechnol J
Grigoriadis D, Tsifintaris M, Giannakakis A, Pavlopoulos GA, Perdikopanis N.   +4 more
europepmc   +1 more source

Akses Terhadap Sistem Basis Data Tersebar Menggunakan Teknologi Ado.Net, Prosedur Tersimpan ( Stored Procedure) dan LINQ (Language Integrated Query)

, 2012
Sri Hartati, Adi ‪Nugroho
openalex   +1 more source

Self-supervised learning with a contrastive VideoMoCo framework for Saudi Arabic sign language recognition using 3D convolutional networks. [PDF]

Sci Rep
Rokaya M, Hemdan DI, Alzain MA, Gad I, Atlam ES.   +4 more
europepmc   +1 more source