Our Software Team

What we’re Doing

Our Software Project – 2023

Our software team is developing a machine learning method that addresses polypharmacy by screening drug interactions and identifying novel combinations, incorporating chemical structure for deployment as a user-friendly solution.


Our machine-learning Method can be used by Pharma companies screening for drug-drug interactions during drug development, Clinician-researchers searching for novel drug-drug combinations, and Hospital Management Software for alerting physicians to potential drug-drug interactions.
We are also incorporating it into REPO4EU Project.


Polypharmacy is recognized as an increasingly serious problem in the healthcare system affecting nearly 15% of the U.S. population (Kantor et al., 2015) and costs >$177 billion a year in the U.S. in treating polypharmacy side effects
(Ernst and Grizzle, 2001).


We learn how to use chemical structure using a language model and use a Convolutional model incorporating two chemical structure language models (one for each drug). We will update the training dataset experiment with hyperparameters, architecture, etc., and deploy it as a user-friendly website, python library, and API.


Support Our Project

We’re constantly looking for sponsors to help us with our research projects! Support us with one of the options listed down below!

Financial Sponsorship

  • Registration Fees
  • Research Expenses
  • Outreach Events
  • Travel Expenses
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Mentorship & Networking

  • Expertise
  • Industry Contacts
  • Networking Events
  • Seminars & Training
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