Archive for April, 2023

Research infographic – Uncertainty-aware and explainable machine learning for early prediction of battery degradation trajectory

11 Apr 2023

Our next infographic presents work from Rieger et al., using explainability and uncertainty to efficiently predict battery degradation and end-of-life.

An infographic summarising the research in the linked article.

Find out more in their full open-access article:

Uncertainty-aware and explainable machine learning for early prediction of battery degradation trajectory

Laura Hannemose Rieger, Eibar Flores, Kristian Frellesen Nielsen, Poul Norby, Elixabete Ayerbe, Ole Winther, Tejs Vegge and Arghya Bhowmik, Digital Discovery, 2023, 2, 112–122, DOI: 10.1039/D2DD00067A

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Research infographic – Cell morphology-guided de novo hit design by conditioning GANs on phenotypic image features

05 Apr 2023

We’re pleased to share this new infographic on work from Marin Zapata et al., showing that phenotypic features of cell images can guide a GAN to drug candidates:

An infographic summarising the research in the linked article

Read the full open access article here:

Cell morphology-guided de novo hit design by conditioning GANs on phenotypic image features

Paula A. Marin Zapata, Oscar Méndez-Lucio, Tuan Le, Carsten Jörn Beese, Jörg Wichard, David Rouquié and Djork-Arné Clevert, Digital Discovery, 2023, 2, 91–102, DOI: 10.1039/D2DD00081D

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