Category Archives: Life Sciences

Micro-Populations and Meta-Features

What gets me up in the morning is wanting to cure cancer and positively impact lives through the use of data and analytics. Our capabilities to try and test formulations exceed our ability to effectively analyze the results. Our use of real world evidence across populations in the 100s of millions allow us to potentially detect conditions that we have cured but not yet proven the cure.

For me this is essentially a classification problem. Part of the classification problem involves micro-populations. Another part of the classification problem involves meta-features.

Micro-populations are small cohorts differentiated by a bio-marker or a drug outcome. One micro-population taking a given drug might have very positive outcomes. Continue reading Micro-Populations and Meta-Features

Innovating Business Through Data: Part 10 – Commercial Contracting

Part 10 – Commercial Contracting

This new series focuses on how Machine Learning, Natural Language Processing, and Robotic Process Automation are changing the face of business. Each post contain a specific use case, the business value derived, and the technology synopsis to achieve the outcome. Continue reading Innovating Business Through Data: Part 10 – Commercial Contracting

Knowledgent Featured in SAS Whitepaper on Real World Evidence

Knowledgent Chief Data Scientist, Ari Yacobi, has been featured in a white paper by SAS entitled, “Institutionalizing Real-World Evidence: Best practices for establishing the essential data and analytics foundation”.  Continue reading Knowledgent Featured in SAS Whitepaper on Real World Evidence

Innovating Business Through Data: Part 3 – Patient Recruitment

Part 3: Patient Recruitment

This new series focuses on how Machine Learning, Natural Language Processing, and Robotic Process Automation are changing the face of business. Each post contain a specific use case, the business value derived, and the technology synopsis to achieve the outcome. Continue reading Innovating Business Through Data: Part 3 – Patient Recruitment

Innovating Business Through Data: Part 2 – Drug Responsiveness

Part 2: Drug Responsiveness

This new series, Innovating Business Through Data, focuses on how Machine Learning, Natural Language Processing, and Robotic Process Automation are changing the face of business. Each post contain a specific use case, the business value derived, and the technology synopsis to achieve the outcome. Continue reading Innovating Business Through Data: Part 2 – Drug Responsiveness

New Series: Innovating Business Through Data

This new series, Innovating Business Through Data, focuses on how Machine Learning, Natural Language Processing, and Robotic Process Automation are changing the face of business. Each post contains a specific use case, the business value derived, and the technology synopsis to achieve the outcome.  Continue reading New Series: Innovating Business Through Data

Operational Data for Managing Clinical Trials

The operational data to manage clinical trials is receiving renewed attention. Changes in how the trials are conducted have not kept pace with how this data is collected and managed. Pharmaceutical/biotechs rely on outside sources Contract Management Organizations (CROs) to run their clinical trials but are still relying on the technologies that supported old business models.   Continue reading Operational Data for Managing Clinical Trials