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Deep-learning model...
Deep-learning models for lipid nanoparticle-based drug delivery
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- Harrison, Philip J. (author)
- Uppsala universitet,Institutionen för farmaceutisk biovetenskap
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- Wieslander, Håkan (author)
- Uppsala universitet,Avdelningen för visuell information och interaktion
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- Sabirsh, Alan (author)
- AstraZeneca R&D
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- Karlsson, Johan (author)
- AstraZeneca R&D
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- Malmsjö, Victor (author)
- Uppsala universitet,Institutionen för farmaceutisk biovetenskap,Spjuth
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- Hellander, Andreas (author)
- Uppsala universitet,Avdelningen för beräkningsvetenskap,Tillämpad beräkningsvetenskap
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- Wählby, Carolina, professor, 1974- (author)
- Uppsala universitet,Avdelningen för visuell information och interaktion
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- Spjuth, Ola, Professor, 1977- (author)
- Uppsala universitet,Institutionen för farmaceutisk biovetenskap
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(creator_code:org_t)
- Future Medicine, 2021
- 2021
- English.
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In: Nanomedicine. - : Future Medicine. - 1743-5889 .- 1748-6963. ; 16:13, s. 1097-1110
- Related links:
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https://doi.org/10.2...
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https://doi.org/10.1...
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Abstract
Subject headings
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- Background: Early prediction of time-lapse microscopy experiments enables intelligent data management and decision-making. Aim: Using time-lapse data of HepG2 cells exposed to lipid nanoparticles loaded with mRNA for expression of GFP, the authors hypothesized that it is possible to predict in advance whether a cell will express GFP. Methods: The first modeling approach used a convolutional neural network extracting per-cell features at early time points. These features were then combined and explored using either a long short-term memory network (approach 2) or time series feature extraction and gradient boosting machines (approach 3). Results: Accounting for the temporal dynamics significantly improved performance. Conclusion: The results highlight the benefit of accounting for temporal dynamics when studying drug delivery using high-content imaging.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinska och farmaceutiska grundvetenskaper -- Farmaceutiska vetenskaper (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Basic Medicine -- Pharmaceutical Sciences (hsv//eng)
Keyword
- artificial neural networks
- high-content imaging
- machine learning
- predictive modeling
- time-lapse microscopy
- Pharmaceutical Science
- Farmaceutisk vetenskap
Publication and Content Type
- ref (subject category)
- art (subject category)
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