Publications
Featured Publication
Explainable AI-driven precision clinical trial enrichment: demonstration of the NetraAI platform with a phase II depression trial
Published in: NPJ Digital Medicine, Part of the Nature Portfolio
More Publications

Psychedelics and the Quantum Brain: a Falsifiable Hypothesis on Posner Molecules and Spin-Dependent Pharmacology
30 March 2026
Authors:
Joseph Geraci, Erik Viirre, Bessi Qorri, Luca Pani)
Published in:
Frontiers of Pharmacology

Integrating Dynamical Systems Learning with Foundational Models: A Meta-Evolutionary AI Framework for Clinical Trials
19 June 2025
Authors:
Joseph Geraci, Bessi Qorri, Christian Cumbaa, Mike Tsay, Paul Leonczyk, Luca Pani)
Published in:
ArXiv

Current Opportunities for the Integration and Use of Artificial Intelligence and Machine Learning in Clinical Trials: Good Clinical Practice Perspectives
12 June 2025
Authors:
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)
Published in:
Journal of the Society for Clinical Data Management

Machine learning hypothesis-generation for patient stratification and target discovery in rare disease: our experience with Open Science in ALS
3 January 2024
Authors:
Joseph Geraci, Ravi Bhargava, Bessi Qorri, Paul Leonchyk, Douglas Cook, Moses Cook, Fanny Sie, Luca Pani,
Published in:
Frontiers of Computational Neuroscience

Small Patient Datasets Reveal Genetic Drivers of Non-Small Cell Lung Cancer Subtypes using a Novel Machine For Hypothesis Generation
26 July 2022
Authors:
Moses Cook, Bessi Qorri, Amruth Baskar, Jalal Ziauddin, Luca Pani, Shashibushan Yenkanchi, Joseph Geraci
Published in:
Exploration of Medicine

Using Artificial Intelligence-based Methods to Address the Placebo Response in Clinical Trials
January – March 2022
Authors:
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
Published in:
PubMed NIH National Center for Biotechnology Information

Evaluation of postmortem microarray data in bipolar disorder using traditional data comparison and artificial intelligence reveals novel gene targets
October 2021
Authors:
Jaehyoung Choi, David F. Bodenstein, Joseph Geraci, & Ana C. Andreazza
Published in:
ScienceDirect Journal of Psychiatric Research

Small Patient Datasets Reveal Genetic Drivers of Non-Small Cell Lung Cancer Subtypes using a Novel Machine Learning Approach
29 July 2021
Authors:
Moses Cook, Bessi Qorri, Amruth Baskar, Jalal Ziauddin, Luca Pani, Shashibushan Yenkanchi, & Joseph Geraci
Preprint available in:
MedRxiv

Using machine intelligence to uncover Alzheimer’s disease progression heterogeneity
31 December 2020
Authors:
Bessi Qorri, Mike Tsay, Abhishek Agrawal, Rhoda Au, & Joseph Geraci
Published in:
Exploration of Medicine

Next-Gen AI for Disease Definition, Patient Stratification, and Placebo Effect
21 July 2020
Authors:
Mike Tsay, Joseph Geraci, & Abhishek Agrawal
Preprint available in:
OSF Healthcare

Quantum and classical machine learning for the classification of non-small-cell lung cancer patients
16 May 2020
Authors:
Siddhant Jain, Jalal Ziauddin, Paul Leonchyk, Shashibushan Yenkanchi, & Joseph Geraci
Published in:
Springer Nature Applied Sciences

Repurposing Dupilumab May Treat Advanced COVID-19 Patients With Severe Acute Respiratory Syndrome By Mitigating Cytokine Storm
18 March 2020
Authors:
Bronnil Hawill & Joseph Geraci
Preprint available in:
OSF Healthcare

Disrupting the Aging Process
January 2019
Stephan Boissonneault
