When it comes to health, compromises are unacceptable. Clear and timely communication, trust between a patient and a doctor, and correct treatment dynamics explained means a lot. One of our clients had an idea of a web application to facilitate everyone engaged in psychopathology treatment. Read on to discover how we developed this app, considering privacy by default.
Any country's healthcare systems and institutions have their classifications applicable locally. Instead of a single united system, multiple vocabularies pose obstacles to patient data exchange, global healthcare big data analysis, and slow down research. So it is evident that researchers and healthcare providers lack a common medical vocabulary model that will meet all the requirements. One of our clients decided to create a comprehensive model representing the data from different sources and ontologies used in various fields of medical science and the healthcare industry. Check out how we contributed to this project!
Natural Language Processing (NLP) and Machine Learning (ML) are two of the most prominent forms of artificial intelligence today that have revolutionized countless industries. They exist in every industry that helps people interact with computers and make our communication with technologies more meaningful. For example, NLP can help make sense of unstructured or semi-structured data from various sources and formats. In this case study, we describe our approach to extracting fields from spec sheets for the manufacturing industry.
We enhanced the leading European online learning platform with deep learning solution to ensure flawless customer experience. Majority of content watched online comes from recommendations: 80% on Netflix, and 60% on YouTube, as per the research (link to external resource). So one of the popular massive European online learning aggregating platforms opted for a robust recommendation and classification system. Read on to find out how we beat such challenges.
We designed an ML-powered system for personified lab test results. It boosts the efficiency of physician office laboratories (POLs) and increases the speed of the medical service delivery system. Moreover, the system that we created became a part of a broader telemedical patient care delivery system. Read on to find out how we deal with challenges like this one.
Since the time of Hippocrates clinicians all over the world strive to cure the patient, not the illness. Since a human is a highly organized creature with its features, everyone develops the disease and reacts to medical treatment differently. One of our clients decided to develop a treatment prediction solution based on personalized EHR/EMR data. Check out how our experienced team contributed to this project!
A modern approach to treatment, as well as medical research, requires a lot of data about a patient for a better outcome. More profound knowledge about the human body, genetic, phenotypic, or psychosocial characteristics could ensure precise identification of patient risk factors, early diagnosis of a disease, or treatment targeting. One of our clients decided to use medical data to build patient similarity networks to define the safety of hydroxychloroquine, a drug to treat rheumatoid arthritis. We determined whether it is safe to use hydroxychloroquine (alone and in combination with azithromycin) via building patient similarity networks.
Visualization of pathological processes plays a crucial role in establishing most clinical diagnoses. However, sometimes the results could be controversial. Various factors influence it: the quality of the equipment, lack of medical skills and knowledge, limited time, etc. One of our clients decided to develop an algorithm for a medical image segmentation solution to distinguish between normal and abnormal chest X-rays (CXR) images. Read on to find out details.
We created a marketing forecasting solution for real estate businesses increasing house sales 16,5 times per month. Check out how data science, predictive analytics, and targeted advertising made our client happy.
We created the covid - 19 prediction tracker, calculating the risk of being infected and the potential number of patients contracted per precise location in Israel. Read on how we are contributing to the return to normality with pandemics growth curve modeling.