May 2024

We developed a Minimum Viable Product (MVP) for a biotech platform company focused on autoimmune disease therapeutics. Their approach combines high-throughput biological imaging and data analysis to uncover novel therapeutic targets within the immune system. This MVP, leveraging advanced AI and multiplex immunofluorescence technology and Amazon Web Services (AWS), was designed to enhance the client’s …

Case Study: Developing an MVP for Autoimmune Disease Research Using AI & Imaging Data Read More »

Client Background A cancer therapeutics company approached us with the need to manage vast amounts of genomic data generated from their research, which was proving to be costly and time-consuming to store and analyze. Our goal was to enhance data compression ratios, accelerate analytical workflows, and ensure robust data security, thereby enabling more efficient research …

Case Study: Enhancing Genomic Data Compression & Analysis for Cancer Research Read More »

In this case study, we explore our partnership with a biotech firm dedicated to advancing liver fibrosis research. We developed a comprehensive AWS infrastructure that efficiently manages and analyzes high-throughput proteomics data from mass spectrometry. By incorporating machine learning (ML) and artificial intelligence (AI), our solution aimed to identify biomarkers and therapeutic targets, driving significant …

Case Study: Machine Learning Integration for Proteomic Data Analysis in Liver Fibrosis Research Read More »