AI framework
for Drug Discovery
Utilize the key success principles of Integrated Data, Robust Processes and Cutting Edge AI.
AI framework
Realize your Data’s Potential
AI in Drug Discovery has reached a tipping point with concrete successes cutting through the hype cycles of past decades. Life Sciences companies are using AI in activities from identification of therapeutic molecules to clinical trial patient recruiting. No longer a niche tool for hopeful startups, AI is an essential component of all Life Sciences Strategies.
Wondering how to start? Executives know that they need to jump into this space but starting can be overwhelming. BigRio works along-side your team throughout the process, cutting through complexity, jargon, and the onslaught of technical solutions. We define a clear strategy, technical plan, and implementation process to rapidly impact your drug discovery process.
ROBUST PROCESSES
Build pipelines that enable your team with value-driving insights
While good innovation is driven by prototyping with scripts and manual steps, a process that drives consistent excellence in drug discovery needs a robust, scalable infrastructure. Our BigRio DevOps/MLOps and software teams leverage their expertise in platform technologies (AWS, Snowflake, Docker, etc), custom software, and ML toolkits to automate high-value workflows your data/lab science talent have worked hard to create.
Our top tier project leaders work with your scientists to define the problem and identify optimal technologies to support resilient, modern pipelines. BigRio integrates best DevOps practices with proprietary software and custom ML to seamlessly enable discovery across bio-/chem-informatics, -omics data, assays results, clinical data and patient EHRs. We can help you transform manual workflows into pipelines that drive decisions in real time.
CUTTING EDGE AI
Accelerate your process with cutting-edge AI
Your company, your patients, and your hard-earned data deserve the best-suited and most advanced approaches that AI has to offer:
- Tried and true AI techniques (RFs, SVMs, Bayesian modelling, FFNs).
- Modern ML approaches (Deep Learning, GCNNs, RNNs, LSTMs, Deep Belief Networks).
- Custom AI architectures.
Your drug discovery data requires ML workflows that factor in specialized requirements and understanding, e.g. chemical fingerprints and similarity, health-care-specific NLP for EHRs, cell-image-based phenotyping, and multi-omics analysis. Our AI for drug discovery framework builds on the understanding that this data requires analyses that differ from those used for social media and advertising, and e-commerce readouts.
BigRio drives more effective AI applications through our expertise in the full-range of ML models, innovative feature engineering, and high performance computing (GPU and Quantum). BigRio delivers predictive models that render actionable insights and holistic answers that the scientists can evaluate for faster drug discovery cycles while maintaining best practices and ethical AI principles. We can help you deploy AI with a partner that understands your most precious asset: data.