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#bioai25 — Public Fediverse posts

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  1. "AI for Computational Biology: Highlights from the first BioAI Hackathon at University of Warsaw" doi.org/10.37044/osf.io/vbw4t_

    "Nine interdisciplinary and multi-institutional teams addressed the following problems: disease-gene prioritization, microbiome analysis, drug-protein interactions, alternative splicing prediction, chromatin architecture study and toxicological profiling. Using cutting-edge tools such as graph neural networks (GNNs), large language models (LLMs), and multi-omics integration frameworks, participants developed scalable and reproducible analytical pipelines. The results include: a disease gene prioritization framework using GNNs, a microbiome dynamics analysis for poultry health prediction and the construction of chromatin structure-aware regulatory networks. All projects follow the open science principles and display translational potential." index.biohackrxiv.org//2025/07

    #biohackathon #BIOAI25

  2. "AI for Computational Biology: Highlights from the first BioAI Hackathon at University of Warsaw" doi.org/10.37044/osf.io/vbw4t_

    "Nine interdisciplinary and multi-institutional teams addressed the following problems: disease-gene prioritization, microbiome analysis, drug-protein interactions, alternative splicing prediction, chromatin architecture study and toxicological profiling. Using cutting-edge tools such as graph neural networks (GNNs), large language models (LLMs), and multi-omics integration frameworks, participants developed scalable and reproducible analytical pipelines. The results include: a disease gene prioritization framework using GNNs, a microbiome dynamics analysis for poultry health prediction and the construction of chromatin structure-aware regulatory networks. All projects follow the open science principles and display translational potential." index.biohackrxiv.org//2025/07

    #biohackathon #BIOAI25