QML Enablement: Build & Deploy Quantum Machine Learning Solutions
Our quantum enablement framework offers a tailored path to hybrid and quantum-inspired solutions for your use case.
Validate Quantum’s Potential with Targeted POCs
How Ingenii takes you from understanding the viability of quantum computing to developing your own novel algorithms.
Backed by Research: Explore Quantum ML Solutions for Biotech, Pharma, and Diagnostics
Our research covers world-class quantum solutions for prevalent challenges in oncology.
MEDICAL IMAGING
Explore our research on an end-to-end quantum machine learning pipeline that can process high-dimensional data more efficiently. Our pipeline will include: Medical imaging data (MRI or mammograms), a quantum filter to enhance image quality, and the ability to make predictions on tumor segmentation/classification.
BINDING AFFINITY
Explore our research on an end-to-end quantum machine learning pipeline that can better predict the binding affinity between a potential drug and target proteins. Our pipeline will include: PDB-bind data, a hybrid 3DCNN to accelerate the training process, a quantum fusion model to improve the accuracy. Altogether we will aim to improve prediction performance and decrease costs.
CLINICAL TRIALS
Explore our preliminary results for optimizing patient stratification in clinical trials. This can be formulated as a constrained optimization problem, minimizing discrepancies between patient groups. Quantum optimization algorithms can offer a powerful alternative to classical optimization software as the number of patients scale.