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Finnish startup uses AI to speed up scientific discovery

For AnalysisMode, the thought of running tests as a simulation – and have a Virtual Home Lab at your disposal seemed like an intriguing possibility. The Finnish company was one of the promising startups selected for the Health Incubator Helsinki program that started in the spring of 2021.

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Using the power of AI could be saving hundreds of hours per year doing manual experiment data analysis as well as securing accurate results in a matter of hours.

AnalysisMode allows scientists to use past experiment data, usually in the form of spreadsheet datasets, as input for the startup’s AI. The company then can train the AI-based on this data, in order to predict and design new experiments.

“With our solution, you can predict bench experiments before making them,” sums up Tiago Sampaio, co-founder and R&D Director of the company. According to Sampaio, the virtual model has several attractive qualities from the perspective of the scientific community. First, it works also for small data, which is useful when dealing with novel diseases, for example. “Second, our AI technology is capable of explaining each prediction – in human language, instead of a mathematical formula, and it is adaptable, meaning you don’t need to retrain a whole AI every time new data is added.”

Finally, under this model, the bench scientist is able to understand why the AI makes every single prediction – and work is able to proceed that much smoother.

“We opened the AI black box into a transparent interface to allow for this. “For example, with cell therapy, the cost can be as much as one million euros per just one patient right now. Using AI, we can cut the price by half.” reveals Sampaio

In 2020, the company won five HackTheCrisis events and was a finalist at EU vs Virus. Previously, the company has also won the Finnish Ultrahack: This year, the company won EU’s Data 4 Healthy Recovery hackathon and was recently chosen as the winning team in the EU Data 4 Healthy Recovery Accelerator.

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Arctic15 Helsinki 2022

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