Applying machine learning to analyse data from organs-on-chip

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Dnr:

NAISS 2024/22-1503

Type:

NAISS Small Compute

Principal Investigator:

Nadezhda Koriakina

Affiliation:

Uppsala universitet

Start Date:

2024-11-13

End Date:

2025-11-01

Primary Classification:

30402: Biomedical Laboratory Science/Technology

Webpage:

Allocation

Alvis at C3SE: 500 GPU-h/month
Mimer at C3SE: 500 GiB

Abstract

In my research, I will be focusing on AI-driven information fusion for improved organs-on-chip. One of my research tasks includes developing methods for data analysis using supervised learning and multimodal information fusion to assist decision-making during ongoing experiments. In addition, I will explore, in collaboration with others, if additional biological information can be gathered from the data as compared to currently used methods.