Data Connect

Data Connect: North America (Hybrid)

March 8, 2023 - Hybrid
Data Connect: North America (Hybrid)

Join us onsite for the next edition of Data Connect: North America in the Virginia Commonwealth University! This Meetup is hybrid: if you can’t make it to Richmond, VA attend the Online Stream.

Talk 1

Title: Patient Optimization Pharmacogenomics program By Amir Behdani

The Patient Optimization Pharmacogenomics program utilizes a streamlined approach for obtaining personalized medication selection and dosing recommendations for patients. This is achieved by inputting metabolizer gene, genetic allele data, and medication lists into the program, which subsequently generates clear dosing information and consults based on the patient's genomics. This automated program was developed through KNIME and incorporates current clinical guidelines.

Talk 2

Title: Applying KNIME to data mining on pilot studies by Daniel Contaifer

Researchers and graduate students frequently have the challenge of defending their work based on multivariate datasets but restricted to small sample size cohorts. These studies are frequently called pilot studies due to their limitations and exploratory nature. This talk will show how to use Knime workflows to merge diverse datasets, use data transformations for values normalization, apply oversampling, and use machine learning algorithms to find the more relevant variables that define the study outcome, without previous coding knowledge. These workflows will have the value of proposing putative biomarkers and supporting new data driven hypotheses.

FAQ

How do I join the KNIME Data Connect?

This event will be hosted in Hybrid mode. Join the next edition of Data Connect: North America live the Virginia Commonwealth University. Or online on Gather Town, you will receive a link to join the interactive session with your registration confirmation.

Where do I find the latest version of KNIME Analytics Platform?

Download the latest free, open source version of KNIME here: knime.com/download

What other resources will help me to get started in KNIME?
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