Designing microplate layouts using artificial intelligence-Reference-Cited by-同舟云学术

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Designing microplate layouts using artificial intelligence

Published:2023-12 Issue: Volume:3 Page:100073
ISSN:2667-3185
Container-title:Artificial Intelligence in the Life Sciences
language:en
Short-container-title:Artificial Intelligence in the Life Sciences

Author:

Francisco Rodríguez María Andreína^ORCID,Carreras Puigvert Jordi,Spjuth Ola

Publisher

Elsevier BV

Subject

General Medicine

Reference55 articles.

1. Applications of machine learning in drug discovery and development;Vamathevan;Nat Rev Drug Discov,2019

2. Machine learning to guide the use of adjuvant therapies for breast cancer;Alaa;Nat Mach Intell,2021

3. Modular deep learning enables automated identification of monoclonal cell lines;Fischbacher;Nat Mach Intell,2021

4. Deep learning prediction of patient response time course from early data via neural-pharmacokinetic/pharmacodynamic modelling;Lu;Nat Mach Intell,2021

5. Generic constraint-based block modeling using constraint programming;Mattenet;J Artif Intell Res,2021

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1. Artificial intelligence for high content imaging in drug discovery;Current Opinion in Structural Biology;2024-08

2. Unleashing the potential of cell painting assays for compound activities and hazards prediction;Frontiers in Toxicology;2024-07-17

3. A Decade in a Systematic Review: The Evolution and Impact of Cell Painting;2024-05-07

4. Federated Learning for Predicting Compound Mechanism of Action Based on Image-data from Cell Painting;2024-02-12

5. Injectiondesign: web service of plate design with optimized stratified block randomization for modern GC/LC-MS-based sample preparation;BMC Bioinformatics;2023-12-20

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