Machine learning-assisted exploration of multidrug-drug administration regimens for organoid arrays

Combination therapies enhance the therapeutic effect of cancer treatment; however, identifying effective interdependent doses, durations, and sequences of multidrug administration regimens is a time- and labor-intensive task. Here, we integrated machine-learning, automation, and large microfluidic arrays of cancer spheroids or patient-derived organoids formed in a tissue-mimetic hydrogel to achieve drastic acceleration of the discovery of effective multidrug administration regimens. For the clinically approved drug combination, we discovered a sequential administration regimen leading to a substantial reduction in the total drug dose, in comparison with concurrent drug supply, both at comparable drug efficacy. For the drugs that are currently under clinical development, we found a synergistic effect of concurrently administered drugs and showed that the synergy diminishes for the sequential drug supply. The developed strategy holds promise for the discovery of effective combination ther..., , , # Machine learning-assisted exploration of multidrug-drug administration regimens for organoid arrays

[https://doi.org/10.5061/dryad.0vt4b8h8x](https://doi.org/10.5061/dryad.0vt4b8h8x)

## Overview

This dataset supports the study of optimizing multidrug administration regimens for organoid arrays using machine learning (ML)-guided strategies. The data include processed fluorescence imaging results representing cell viability in response to different drug combinations, administration sequences, and timing strategies.

The primary goal of the study is to identify optimal drug sequences that improve therapeutic efficacy using organoid-based models and Bayesian optimization (BO).

## Description of the data and file structure

The data was collected from the fluorescence images of spheroids and organoids in the microarrays.

## Data collection and processing

Fluorescence images of spheroids and organoids cultured in microfluidic arrays were collected to quantify live/dead cells. These im...,