Knowledgent, the data intelligence company, announced today that it has launched its Intelligent Trial Planning (ITP) platform on the new AWS Marketplace for Machine Learning. Continue reading Knowledgent Launches Intelligent Trial Planning on AWS Marketplace for Machine Learning
We are excited to announce that we have achieved Amazon Web Services (AWS) Life Sciences Competency status! This designation recognizes Knowledgent for our consulting practice. Continue reading Knowledgent Achieves AWS Life Sciences Competency Status
Ari Yacobi, Chief Data Scientist at Knowledgent, was recently interviewed on the topic of our Intelligent Trial Planning platform built on AWS services. He discusses the data implications, data science models, and AWS components of the platform, among other topics.
Read the full interview below:
Patient Recruitment delays are increasing clinical trial length within many therapeutic areas. This also means increases to R&D cost and decreases to product revenue. Continue reading Intelligent Trial Planning
Knowledgent is excited to participate in the upcoming DPharm: Disruptive Innovations to Advance Clinical Trials conference, now in its eighth year, happening September 25 & 26 in Boston! Continue reading Visit Knowledgent at DPharm 2018 in Boston
Knowledgent Chief Data Scientist, Ari Yacobi, discusses planning intelligent clinical trials in our latest video. Continue reading New Video: Planning Intelligent Clinical Trials
Database Trends and Applications has featured an article highlighting the talk our own Informationist, Fabricio Silva, will jointly present with Takeda at Data Summit 2018 in Boston on May 22-23. Continue reading Data Summit Feature on Knowledgent’s Talk with Takeda
Our own Chief Data Scientist Ari Yacobi will be presenting at the upcoming SAS Health Analytics Forum on May 9-10 in Cary, North Carolina! Continue reading Chief Data Scientist Ari Yacobi Presenting at the SAS Health Analytics Forum
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
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