PUBLICATIONS
Featured Publications
Small Patient Datasets Reveal Genetic Drivers of Non-Small Cell Lung Cancer Subtypes using a Novel Machine For Hypothesis Generation
The collection of transcriptomic data is expensive, resulting in datasets with a small number of sample sizes (in the hundreds) but thousands of variables. As a result, several techniques that are making significant strides in the imaging space, such as deep neural networks…
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Using Artificial Intelligence-based Methods to Address the Placebo Response in Clinical Trials
January – March 2022
Erica A. Smith, William P. Horan, Dominique Demolle, Peter Schueler, Dong-Jing Fu, Ariana E. Anderson, Joseph Geraci, Florence Butlen-Ducuing, Jasmine Link, Ni A. Khin, Robert Morlock, & Larry D. Alphs
Evaluation of postmortem microarray data in bipolar disorder using traditional data comparison and artificial intelligence reveals novel gene targets
October 2021
Jaehyoung Choi, David F. Bodenstein, Joseph Geraci, & Ana C. Andreazza
Small Patient Datasets Reveal Genetic Drivers of Non-Small Cell Lung Cancer Subtypes using a Novel Machine Learning Approach
29 July 2021
Moses Cook, Bessi Qorri, Amruth Baskar, Jalal Ziauddin, Luca Pani, Shashibushan Yenkanchi, & Joseph Geraci
Using machine intelligence to uncover Alzheimer’s disease progression heterogeneity
31 December 2020
Bessi Qorri, Mike Tsay, Abhishek Agrawal, Rhoda Au, & Joseph Geraci
Next-Gen AI for Disease Definition, Patient Stratification, and Placebo Effect
21 July 2020
Mike Tsay, Joseph Geraci, & Abhishek Agrawal
Quantum and classical machine learning for the classification of non-small-cell lung cancer patients
16 May 2020
Siddhant Jain, Jalal Ziauddin, Paul Leonchyk, Shashibushan Yenkanchi, & Joseph Geraci
Repurposing Dupilumab May Treat Advanced COVID-19 Patients With Severe Acute Respiratory Syndrome By Mitigating Cytokine Storm
18 March 2020
Bronnil Hawill & Joseph Geraci
Disrupting the Aging Process
January 2019
Stephan Boissonneault