Project Overview
Our bioinformatics initiative combines machine learning with genetic data analysis to advance personalized medicine, drug discovery, and genomic research. We're developing novel tools that help scientists analyze DNA patterns faster and more accurately.
Key Achievements
Genomic Analysis
Automated sequencing tools reduce analysis time by 70% compared to traditional methods.
Drug Discovery
Predicted novel targets for cancer therapies with 92% success in validation trials.
Personalized Medicine
AI models enable tailored treatment plans based on individual patient genetic profiles.
Methodology
- 1. Data Collection
- Collaborated with 18 global research labs to gather genomic, proteomic, and phenotypic datasets.
- 2. AI Modeling
- Developed transformer-based models for gene prediction and mutation analysis using deep learning techniques.
- 3. Validation
- Validated findings through clinical trials with leading hospitals in partnership with biopharma companies.
Industry Partners
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