Unlock new pathways to precision care, reduce costs, and save lives.
Our Computational Medicine research group can assist you and your team by developing predictive models that enable an understanding of disease progression, and the effects of treatments. These models simplify healthcare workflows by optimizing patient diagnosis, effective disease treatment, and reducing unnecessary complications, lightening the administrative burden on clinicians. This can lead to enhanced patient care, significant cost savings, and increased job satisfaction among healthcare staff.
What We Offer
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Our Capabilities:
• Patient Specific Modeling of Disease
• Biomedical Data Science
• Computational Systems Biology
• Machine Learning
• Model-Guided Development of New Therapies -
Your Benefit:
• Data visualization & reporting
• Data & analytics modernization
• Prototype evaluations and refinements
• User Insights
• Custom analytics tools
• Innovative user experience designs
• Explainable AI interfaces
• AI Integration user experience consulting
Tailoring Computational Medicine Solutions for Different Industries
Computational Medicine is versatile and can be tailored to a variety of industry-specific applications, including:
- Target Identification
- Drug Candidate Prediction
- Predictive Modeling for drug discovery
- Biomarker Discovery
- Digital Twins
- Predictive modeling for diagnostics
- Early disease detection
- Telemedicine and remote monitoring
- Precision care
- Streamlined operations
- Genomic data analysis
- Proteomics and protein engineering
- High Throughput Biological Analysis
- Immunotherapy development
- Drug delivery optimization
Helping Partners Succeed
We help our partners harness their biomedical data to address critical healthcare challenges. Our computational medicine solutions integrate cutting-edge technology, profound data analysis, and patient-centric design to produce tools and systems that are intuitive, efficient, and transformative. These tools are crafted to bolster your team’s medical data interpretation, enhance communication with stakeholders, promote informed decision-making, and ultimately refine the entire patient care process.
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Healthcare Team Adds a Digital Member
The Roux Institute’s Rai Winslow and Melanie Tory have partnered with MaineHealth and Maine Medical Center to show how real-time health monitoring devices are more powerful when paired with predictive algorithms and visual tools to display patient data.
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The Future of Medicine is Today’s Data
Northern Light Health recognized that the patient data it collects from in-home monitoring services can be used to improve future patient care. The organization partnered with the Roux Institute—namely, researchers Rai Winslow, and Melanie Tory—to apply this data for that purpose.
Our Computational Medicine Partners
"AI and machine learning are poised to play a huge role not only in life sciences, but in medical research. Clinical trials on how an algorithm can function as part of the health care team will enable better medicine, better therapy, and better diagnoses for patients."”
Rai Winslow
Director of Life Science and Medical Research
The Roux Institute
The Team
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Saeed Amal
Assistant Research Professor
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Candice Byers
Research Scientist
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Matteo Chinazzi
Research Associate Professor
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Qingchu Jin
Research Scientist
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Christine Lary
Research Associate Professor
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Briana Taylor
Research Assistant Professor
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Kiran Vanaja
Assistant Research Professor, Bioengineering
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Raimond Winslow
Director of Life Science and Medical Research; Professor of Bioengineering
We Collaborate With
Partner With Us
Our team is ready to get to work. Whether it’s a small few month, a year-long intensive project, or anything in between, we’ll put together the team and solution that drives business outcomes for your organization.