id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-7575	Tang, Yuxuan	Deep learning in drug discovery: applications and limitations	2023	6	.pdf	application/pdf	5283	304	49	To address these challenges, future research efforts should focus on developing new methods for data generation and curation to improve the quality of training data, as well as developing new deep learning models that are less susceptible to overfitting and more interpretable. However, there are also several limitations and challenges associated with the use of deep learning in drug discovery, including the lack of high- quality training data, overfitting and generalization issues, interpretability and explainability of deep learning models, and legal and ethical considerations.	cache/fcis-7575.pdf	txt/fcis-7575.txt