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…

More Publications

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