Systems and methods for peak searching and artificial tissue response, including for processing functional response waveforms.
The system addresses noise and data limitations in tissue response waveforms by using noise-filtered models and classifiers to extract and classify contraction types, enhancing computational efficiency and accuracy for drug discovery.
JP2026517625APending Publication Date: 2026-06-02VALO HEALTH INC
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- VALO HEALTH INC
- Filing Date
- 2024-04-05
- Publication Date
- 2026-06-02
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Figure 2026517625000001_ABST
Abstract
A system and method for processing functional response waveforms obtained from artificial tissue are described herein. In one exemplary embodiment, the system and method includes obtaining a first waveform, which includes the contraction and relaxation responses of the artificial tissue during a contraction-relaxation cycle. A model that independently parameterizes the growth of the contraction and relaxation responses is then fitted to the first waveform. A second waveform is then generated from the model fitted to the first waveform, such that the second waveform includes a noise-filtered representation of the first waveform. Feature values(s) can then be extracted from the second waveform, which can be used to develop artificial intelligence (AI) or, otherwise, for downstream tasks such as drug discovery and development, by performing noise filtering and enabling high-fidelity and large synthetic training datasets.
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