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InSyBio Selected for the Start4Health ScaleUps Studio Programme

InSyBio has been selected to join the ScaleUps Studio track of the Start4Health programme, an initiative led by Pfizer’s Center for Digital Innovation (CDI). This selection represents an important milestone for the company and further reinforces its position within the digital health innovation ecosystem. Start4Health is designed to connect innovative companies with Pfizer’s innovation ecosystem…Continue reading

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New Scientific Publication on Bone Regeneration within the REGENERATION Project

InSyBio is happy to announce a new scientific publication led by Filip Stojceski, titled “Molecular-level understanding of the aging bone and regeneration mechanisms using computational methods”, published in Osteoporosis International. The article is available as an open-access publication (https://doi.org/10.1007/s00198-026-07903-z )and was developed in the context of the REGENERATION project. The publication provides a comprehensive review…Continue reading

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InSyBio Accepted into the A4SUSTINNO Accelerator Programme

InSyBio has been accepted into the A4SUSTINNO accelerator programme, a significant step in the company’s innovation and growth trajectory and an important opportunity to further strengthen its activities in the fields of bioinformatics, artificial intelligence, and digital health. The A4SUSTINNO accelerator is a free acceleration programme addressed to startups and teams active in the digital…Continue reading

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InSyBio Suite Version 3.4 is announced, introducing a major upgrade of the InSyBio Interact tool for advanced protein interaction analysis and biological network discovery

InSyBio is thrilled to announce the release of InSyBio Suite Version 3.4, with a major upgrade to the InSyBio Interact tool, an advanced environment for protein analysis, protein–protein interaction (PPI) information retrieval, functional annotation, and biological network creation. InSyBio Interact v3.4 features improved PPI search capabilities supported by a comprehensive database of more than 2…Continue reading

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InSyBio Advances Understanding of Molecular Mechanisms Involved in Human Taste Using Machine-Learning and Network Analytics

A unique Machine-Learning and Molecular Modelling pipeline focusing on the interactome of the Taste Receptors has been released in a new publication from the InSyBio team in collaboration with a team of exceptional researchers from Dalle Molle Institute for Artificial Intelligence (Switzerland), and Politecnico di Torino (Italy) in the framework of VIRTUOUS Project, an EU…Continue reading

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InSyBio announces Novel of Multiple Taste Predictor based on a Multiobjective Machine Learning method

A novel predictor for multiple taste sensations based on a multi-objective Machine Learning method was published by InSyBio in the NPJ Science of Food journal of the Springer Nature publishing company (https://rdcu.be/dOVbA). This new predictor, namely Virtuous Multi-Taste, was developed in collaboration with a team of exceptional researchers from Politecnico di Torino (Italy), Industrial Systems…Continue reading

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InSyBio Harnesses the Power of Clinical Data developing AI tools for Cardiovascular Disease Treatment Optimization

Cardiovascular diseases (CVDs) are the leading cause of death globally, with 17.9 million annual deaths. InSyBio has partnered with Syndesis, the data and technology catalyst to a truly global, multi-continent network of healthcare and life sciences organizations, to address this enormous global health issue. We focused on two specific heart diseases, congestive heart failure (CHF)…Continue reading

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InSyBio Suite Version 3.2 is released including an integrated workflow and toolbox for single-cell RNA-sequencing analysis

Single-cell RNA sequencing is a powerful genomic method used to detect and analyze RNA molecules in biological samples at a single-cell level. It has proven successful in studying cell composition, proliferation, and migration. However, analyzing the data presents challenges due to standardization issues, data scarcity, and difficulties in integrating datasets with other sequencing technologies. The…Continue reading

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