Empowering Clinical Trial
Development Teams
Discover causal insights with Attractor AI for smarter clinical trial decisions
Introducing The
NetraAI Lab
A Next Generation AI Solution Revolutionizing Clinical Trials
Unlock the potential of your clinical trials through a novel AI solution.
Effortlessly generate and decipher insights on treatment efficacy, toxicity, and placebo response
Introducing NetraAI: Know Your Patients
NetraAI is built to uncover the hidden relationship between patients in your clinical trial by using novel methods and empowering scientists to make critical decisions
NetraAI, powered by Attractor AI, a proprietary long-range attractor algorithm, deciphers hidden patient correlations in your clinical trials, providing optimal causal factors with exceptional clarity and explainability.
Introducing NetraAI: Know Your Disease
Unlock the factors behind the heterogeneity of your patient population with our technology. Use these high dimensional views to enhance enrichment, reducing clinical trial risks and fostering success. Avoid populations that can hinder your development early on
Introducing NetraAI: Design Smarter Patient-
Centric Protocols With Intelligence
NetraAI generates insights that drastically improve inclusion/exclusion criteria leading to larger effect sizes and lower p values. Find the maximum population that is likely to be responsive. Make phase III studies smaller and more efficient
Publications, White Papers & Posters
Small Patient Datasets Reveal Genetic Drivers of Non-Small Cell Lung Cancer Subtypes using a Novel Machine For Hypothesis Generation
July 26, 2023 | Moses Cook, Bessi Qorri, Amruth Baskar, Jalal Ziauddin, Luca Pani, Shashi Bushan 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
Using machine intelligence to uncover Alzheimer’s disease progression heterogeneity
December, 31 2020 | Bessi Qorri, Mike Tsay, Abhishek Agrawal, Rhoda Au, & Joseph Geraci
Disrupting the Aging Process
Jan 2019 | Stephan Boissonneault
Next-Gen AI for Disease Definition, Patient Stratification, and Placebo Effect
21 July 2020 | Mike Tsay, Joseph Geraci, Abhishek Agrawal
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
Shattering cancer with quantum machine learning: A preview
11 Jun 2021| Joseph Geraci
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
Attractor AI Provides Machine Learning Algorithms With The Power Of Causal Inference Through An Innovative Look-Back Memory Technology
Our Products
Netra AI
NetraAI decodes the complexities of patient populations, offering invaluable insights to clinical trial professionals. It enhance the efficiency and reliability of clinical trials. To achieve this, it harnesses the power of cutting-edge Attractor-based technology, capable of discerning the unique combinations of variables that define patient characteristics.
Netra AI
NetraAI decodes the complexities of patient populations, offering invaluable insights to clinical trial professionals. It enhance the efficiency and reliability of clinical trials. To achieve this, it harnesses the power of cutting-edge Attractor-based technology, capable of discerning the unique combinations of variables that define patient characteristics.
Netra Placebo
NetraPlacebo pinpoints the patients in your trial who are eliciting the placebo response, and the reasons why. By combining attitudinal and psychological data, alongside information from previous trials, NetraPlacebo constructs a model that identifies the factors propelling both the placebo and drug response, enabling optimal trial enrichment allowing inclusion/exclusion criteria adjustments without adversely affecting your drug’s response and maximizing separation
Netra GPT
NetraGPT adds additional explainability to NetraAI’s Attractor-based technology, augmenting these signals with the robust abilities of Large Language Models. The multidimensional patient profiling is further enhanced through the perspective of extensive medical and scientific literature.
Meet The Founder
Dr Joseph Geraci, Ph.D. is a mathematician, medical scientist, and quantum machine learning specialist. He holds postdocs in artificial intelligence, oncology, and neuropsychiatry. He has developed novel machine intelligence algorithms that are capable of providing extraordinary insights into small complex data sets, like those found in clinical trials.
He is associated with the department of Molecular Medicine and Pathology at Queen’s University in Ontario, Canada and the Centre for Biotechnology and Genomics Medicine Medical College of Georgia, USA, and is a visiting scientist in quantum computation and neuroscience at the University of California, San Diego.