Case studies

Our client in the corporate EdTech sector developed a platform that aggregates business courses for easy access and management. They sought an automated system to categorize courses into areas like marketing, finance, and HR, and to recommend personalized learning paths based on each employee's role and career goals. Read on to learn about our ML solution that transforms course categorization and tailors personalized recommendations.

Jackalope transforms complex medical data into OMOP CDM and SNOMED Clinical Terms (CT) standardized formats. This enables healthcare providers, practitioners, and scientists to effectively use real-world medical data for research and delivering enhanced patient care.

The client is a healthcare company focused on medical imaging and diagnostics, working to improve the diagnosis of lung diseases like tuberculosis and COVID-19. They wanted to create an AI-based algorithm that could detect abnormal changes in chest X-rays and automatically prioritize the most urgent cases. It helps to make the diagnostic process faster and more accurate by identifying abnormalities and highlighting critical cases. It reduces the workload for radiologists and pulmonologists by automating routine tasks, so they can focus on more complex cases. By solving issues like delayed diagnoses and heavy workloads, the solution ensures patients with serious conditions get quicker and more reliable care.

The language learning platform adapts to each user’s progress, providing customized exercises and challenges. Gamification features like leaderboards, badges, and progress tracking make learning more engaging and enjoyable. From basic vocabulary to complex scripts like Mandarin and Arabic, the platform makes language learning both fun and effective.

A web application designed to facilitate communication in psychopathology treatment by summarizing mental health test results and illustrating treatment dynamics.

Health data is becoming highly digested, and data science and predictive modeling enter the picture to facilitate precision oncology. One of our clients decided to turn tons of unstructured medical data into a predictive modeling solution for cancer progression. Since relying on seasoned professionals in medical data engineering, data analysis, and machine learning (ML) is crucial in this case, we took on a challenge. Read on to discover how we came up with a solution to cancer progression prediction for lung cancer and lymphoma patients.

Our product brings a new healthcare claims management approach with AI-driven capabilities. It streamlines claim processing and reduces denials, improving efficiency and financial outcomes for healthcare providers.

The RxNorm Extension, our innovative product, transforms drug data management by seamlessly integrating international drug classifications and historical data into the OMOP ecosystem for generating evidence from observational data. Developed with advanced AI and database technologies, this toolset ensures comprehensive standardization and integration of drug data, fulfilling essential healthcare and pharmaceutical sector needs.