Machine learning (ML) is changing the way researchers identify potential drug candidates, predict molecular interactions, and optimize clinical trials. ML models are accelerating discovery timelines and increasing success rates in drug discovery. However, the success of these models relies on their design and how good they are at predicting potential drugs and their targets.
To judge the reliability of an ML model, the right evaluation metrics are essential. In drug discovery, where small decisions can alter workflow trajectories, selecting the right metrics is critical. Standard metrics like accuracy or mean squared error (MSE), though useful in generic ML tasks, often fall short when it comes to biopharma.
Biopharma deals with imbalanced datasets with far more inactive compounds than active ones. This imbalance can render traditional metrics misleading. For example, a model might achieve high accuracy by predicting the majority class (inactive compounds) while failing to identify active ones, which are the primary targets in drug discovery.
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Website: https://www.elucidata.io/ Website: https://www.elucidata.io/ Elucidata leverages its platform, Polly to augment the quality of data in pre-clinical drug discovery. It curates multi-omics and assay data to make them ML-ready or analysis-ready. Our exceptional multi-disciplinary team of experts use Polly’s powerful curation engine to harmonize a diverse array of data-types, curate metadata and process data consistently at affordable costs while maintaining information-richness. We are one of the only companies to offer a tech-enabled approach to multi-modal data curation that serves the life science industry. Polly’s technology and experts have helped R&D teams arrive at multiple validated drug targets across immunology, oncology, and metabolomic disorders. Currently, 25+ research organizations, including 4 of the largest 10 pharma companies are using Polly and its allied solutions to accelerate their discovery programs. Many other data-driven healthcare companies also use Polly to process, harmonize and store public or in-house biomedical data. Address: 114 Sansome Street, Suite 250 San Francisco, CA 94104 Phone No: 9716140329 Contact Email: info@elucidata.io
