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optimal: best or most favorable
Learn how our work software engineering core ML/AI models helps improve society's decision-making and lives.
Explore how we demonstrate algorithmic solutions for a variety of high-impact society problems.
Real world. Real insights.
Research Disease Areas - Data Science Projects Results
We work across multiple therapeutic areas to compute and uncover biological insights to drive the discovery and development of the next generation of medicines. From the inception of a therapeutic through early clinical development, our team collaborates across scientific disciplines and organizations in support of our mission to enable technology and data that improves and extends peoples’ lives.
DATA SCIENCE PROJECT
METALIFE: Data science for cardiovascular and metabolic diseases data
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My goal is to help medical clinicians comprehend the relationships of treatment and therapy data collected from heart disease patients to improve benefit-risk profile of treatments for patients.
DATA SCIENCE PROJECT
Benefit-risk profile computation and visualizations for cancer patients
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My main goal is to develop classification algorithms for benefit-risk treatment segmentation and predictive modeling of cancer with clinical and genetic data.
DATA SCIENCE PROJECT
Better Models for COVID-19 Predictions
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I develop supervised learning algorithms to improve monitoring COVID patients and predict infection rates.
DATA SCIENCE PROJECT
Better Models for United States Procedures: Data science for medical surgery data
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I developed classification algorithms for 2,500+ United States hospitals top 100 frequently billed procedures to help understand the cost of healthcare services. High healthcare costs is not just a nuisance for patients: It’s also a public health hazard and bad news for the economy.
DATA SCIENCE PROJECT
METALIFE: Data science for cardiovascular and metabolic diseases data
​
My goal is to help medical clinicians comprehend the relationships of treatment and therapy data collected from heart disease patients to improve benefit-risk profile of treatments for patients.
DATA SCIENCE PROJECT
Benefit-risk profile computation and visualizations for cancer patients
​
My main goal is to develop classification algorithms for benefit-risk treatment segmentation and predictive modeling of cancer with clinical and genetic data.
DATA SCIENCE PROJECT
The best models for COVID-19 predictions
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I develop supervised learning algorithms to improve monitoring COVID patients and predict infection rates.
DATA SCIENCE PROJECT
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The best models for United States procedures: data science for medical surgery data
​
I developed classification algorithms for 2,500+ United States hospitals top 100 frequently billed procedures to help understand the cost of healthcare services. High healthcare costs is not just a nuisance for patients: It’s also a public health hazard and bad news for the economy.
As you can see above, our work in software engineering machine learning algorithms for early detection, disease classification and predictive analytics reporting help provide answers for patients and helps society forward with early diagnosis.
You'll save time and have insights on your targeted population within a few weeks.
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