Modern Deep Learning

We train cutting edge biomedical AI models on cloud GPUs. From Transformers to Convolution Neural Network architectures, from tabular to 4D multimodal medical images, we can work with it.

See our Case Study example for Artificial Intelligence and Deep Learning

Clinically Driven Algorithm Design

The available data and clinical problem being solved are at the heart of our algorithms. All our algorithms are driven with the patient in mind. We value proper cross validation setup, generalizability testing, and reproducibility.

See our Case Study example for Biostatistics‍

Data Analysis & Visualization

Intuitive visualizations of datasets is necessary for proper data analysis and algorithm design. We have extensive experience building informative and useful dashboards for visualizing large amounts of healthcare data. From latent spaces to violin plots to 3D volumetric renderings, visualizations are necessary for understanding your data inside and out.

Experts in Healthcare Data

We have worked with 4D radiology DICOM datasets, and 1D signals from wearables. We have built algorithms for H&E stained digital pathology datasets and tabular data from sensors. We have performed biostatistical analysis on clinical trial data.

Often times, the data is more important than the neural network architecture. We understand that setting up proper data pipelines, with quality checking, filtering, preprocessing, and augmentation, is necessary for an accurate algorithm.