Publications

Featured Publication

Explainable AI-driven precision clinical trial enrichment: demonstration of the NetraAI platform with a phase II depression trial

In a Phase II ketamine trial for treatment-resistant depression, NetraAI outperformed traditional machine learning (ML) models in predicting treatment outcomes, improving predictive accuracy by approximately 25-30% and achieving higher sensitivity and specificity in detecting responders.

More Publications

Integrating Dynamical Systems Learning with Foundational Models: A Meta-Evolutionary AI Framework for Clinical Trials

19 June 2025

Joseph Geraci, Bessi Qorri, Christian Cumbaa, Mike Tsay, Paul Leonczyk, Luca Pani)

Current Opportunities for the Integration and Use of Artificial Intelligence and Machine Learning in Clinical Trials: Good Clinical Practice Perspectives

12 June 2025

Joseph Geraci (NetraMark Corp) , Prasanna Rao (Saama Technologies) , Cheryl Grandinetti (U.S. Food and Drug Administration)  , Bessi Qorri (NetraMark Corp) , Patrick Nadolny , Kassa Ayalew (FDA) , Lisbeth Bregnhøj (Danish Medicines Agency) , Lindsay Edwards (Relation Therapeutics) , Karen Hofmann (Cognizant Technology Solutions) , Sean Khozin (PhyusionBio LLC) , Nicolas Schaltenbrand (Wega Informatik AG) , Torsten Stemmler (10. Federal Institutes for Drugs and Medical Devices (BfArM)) , Alan Yeomans , Demetris Zambas (Pfizer, Inc) , Ni Khin (Neurocrine Biosciences, Inc)

Machine learning hypothesis-generation for patient stratification and target discovery in rare disease: our experience with Open Science in ALS

3 January 2024

Joseph Geraci, Ravi Bhargava, Bessi Qorri, Paul Leonchyk, Douglas Cook, Moses Cook, Fanny Sie, Luca Pani,

Small Patient Datasets Reveal Genetic Drivers of Non-Small Cell Lung Cancer Subtypes using a Novel Machine For Hypothesis Generation

26 July 2022

Moses Cook, Bessi Qorri, Amruth Baskar, Jalal Ziauddin, Luca Pani, Shashibushan Yenkanchi, Joseph Geraci

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

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