# Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/integrating-machine-learning-and-multiscale-modeling-perspectives-challenges-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mark Alber,Adrián Buganza Tepole,William R. Cannon,Suvranu De,Salvador Durá-Bernal,Krishna Garikipati,George Em Karniadakis,William W. Lytton,Paris Perdikaris,Linda Petzold,Ellen Kuhl |
| Citations | 636 |
| DOI | 10.1038/s41746-019-0193-y |
| Fields | Biochemistry, Genetics and Molecular Biology,Mathematics,Physics and Astronomy |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41746-019-0193-y.pdf |
| OpenAlex ID | https://openalex.org/W2978281981 |
| PMID | 31799423 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Suvranu De](https://scholariq.org/researchers/suvranu-de/)

## Paper journal

- [npj Digital Medicine](https://scholariq.org/journals/npj-digital-medicine/)

## Paper primary topic

- [Model Reduction and Neural Networks](https://scholariq.org/topics/model-reduction-and-neural-networks/)

## Paper topics

- [Model Reduction and Neural Networks](https://scholariq.org/topics/model-reduction-and-neural-networks/)
- [Mathematical Biology Tumor Growth](https://scholariq.org/topics/mathematical-biology-tumor-growth/)
- [Cell Image Analysis Techniques](https://scholariq.org/topics/cell-image-analysis-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.