Study Data from Swiss Federal Institute of Technology Update Understanding of Machine Learning (Neural Multi-task Learning In Drug Design).

Předmět:	DRUG design MACHINE learning ARTIFICIAL neural networks TECHNICAL institutes COMPUTER-assisted drug design
Zdroj:	Drug Week; 4/16/2024, p2811-2811, 1p
Abstrakt:	A recent study conducted by researchers at the Swiss Federal Institute of Technology in Zurich explores the potential of multi-task learning (MTL) models in computer-assisted drug design. MTL is a machine learning paradigm that aims to improve predictive models by leveraging shared information across multiple tasks. The researchers propose a framework for categorizing MTL models based on their architecture and provide an overview and comparison of successful MTL models used in drug design. They also discuss the challenges associated with applying MTL in this context, particularly in defining suitable representations of molecular entities and machine learning tasks. The study concludes by summarizing and comparing MTL methods for computer-aided drug design. [Extracted from the article]
Databáze:	Complementary Index
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