we help medical device companies develop predictive models and analytic tools.
Are you making the most of your data?
What insights are hidden in your device data, waiting to be discovered?
Do you need to integrate multiple data sources into a single diagnostic?
Can you show how well your algorithm does against other algorithms? ...you do have an algorithm, don't you?
Have you quantified the uncertainty in your data sources, to focus your efforts for improvement?
Services
What we do
We work with medical device and life science companies to develop and deploy predictive models and analytic tools, in support of diagnostic decision making.
We are a boutique data science consulting company, with deep expertise in machine learning & statistics. Delv Bio was founded by Jabus Tyerman (learn more about him here).
Machine Learning
We translate measurements and sensor data into scientific insight and provide diagnostic decision support.
We do this by engineering features from your sensor data, and use these features in machine learning to predict ground truth data with high accuracy and precision. These predictions enable diagnostic and decision support adding value to your analytics.
"Jabus was able to materially improve our existing predictive models in record time without overfitting, and helped explain our results to internal and external stakeholders."
Eric Kriegstein, CEO, Respirix
"Jabus provided us with clear analytical results and insight into our bioinformatic analyses. He also was always able to provide analyses quickly when needed, clearly explained in how the analysis was completed, and he shared his expertise on both the analyses themselves and advised us on technical aspects, like data storage.”
Jennifer Steele,
Director of Research and Development, Genetics Research
"His analysis identified questions and trends we did not notice. His insight allowed us to decide our next steps and efficiently design experiments."
Catherine Pujol-Baxley, VP Research, KnipBio
Engagement
First steps... Diagnostic Data Audit
Delv's Diagnostic Data Audit is an introductory service designed to quickly assess the problem space and conduct a preliminary data audit.
All our engagements start with this diagnostic because we believe it is our duty to assess the suitability of the data for the problem before recommending a course of action and executing a plan.
Here's how it unfolds:
- Problem space assessment: What are your goals? What are the metrics of success?
- Data Audit: Are the data suitable for the stated goals? What is the status of the data? (organization, complexity, volume, completeness, location). This will include reviewing a data dictionary with the client (all variables in all tables, meaning and units, etc.).
- Recommendations: a summary of our diagnostic and map of next steps.
Next Steps
Every engagement is different, and Delv will use the Diagnostic Data Audit to recommend next steps.
A project may require an exploratory analysis to develop insight for the client. We use our expertise in statistics to develop insights and understanding.
A project may be a multi-phased engagement. For example, an initial phase may involve the prototyping of a predictive model and data analytics pipeline, and a subsequent phase may conduct repeated analyses using new data or novel features.
Typically, we work with clients on a per project basis (using a fixed price agreed to in advance). Our pricing depends on many factors, starting first with the expected value of the anticipated outcomes. Our best clients are mindful of value when they approach us.