1. I think this might result in inaccurate or biased results, which could be risky when applying these tools in precision medicine.
2. I would suggest first training bioinformatics tools using available data from the human pangenome, particularly data representing that country or a similar population. It would also be advantageous to train and validate the tools using local genomic data. Once validated, they could be used more reliably in that hospital. I also think collaboration between sites across the country and internationally would be useful. This would not only benefit individual hospitals but could also help more people, especially in rare diseases, where data are limited and some conditions may occur only in specific populations or be influenced by environmental or dietary factors.
3. I believe that bioinformatics tools should be useful and accessible to everyone. For example, RT-PCR machines became widely available during the SARS-CoV-2 pandemic and are now commonly used in hospitals, academic labs, and research centers. Their use has become more accessible and user-friendly. Similarly, health-tracking devices are easy to use while providing valuable data to users. I think bioinformatics tools should move in a similar direction. However, with the integration of AI, it is also important to establish clear limitations and guidelines on how far these tools should be used.
2. I would suggest first training bioinformatics tools using available data from the human pangenome, particularly data representing that country or a similar population. It would also be advantageous to train and validate the tools using local genomic data. Once validated, they could be used more reliably in that hospital. I also think collaboration between sites across the country and internationally would be useful. This would not only benefit individual hospitals but could also help more people, especially in rare diseases, where data are limited and some conditions may occur only in specific populations or be influenced by environmental or dietary factors.
3. I believe that bioinformatics tools should be useful and accessible to everyone. For example, RT-PCR machines became widely available during the SARS-CoV-2 pandemic and are now commonly used in hospitals, academic labs, and research centers. Their use has become more accessible and user-friendly. Similarly, health-tracking devices are easy to use while providing valuable data to users. I think bioinformatics tools should move in a similar direction. However, with the integration of AI, it is also important to establish clear limitations and guidelines on how far these tools should be used.
