VIVO enables biopharma sponsors to accelerate clinical trial data science analyses to maximize drug development success.
VIVO enables innovative approaches such as AI, ML, and deep computational phenotyping to identify and validate biomarkers to aid patient stratification, increase knowledge of disease progression, and identify enriched groups of responders for future recruiting strategies.
VIVO applies robust bioinformatics workflows to tie biological pathways to outcomes. Ingest and merge multi-omics and biochemical datasets to confidently identify predictive biomarkers and optimize modeling performance.
VIVO stratifies patients and quantitatively assesses therapeutic response and provides key insights into cognitive and emotional response. VIVO supports pathology and radiology images and a wide range of digital biosensor data including EEG, ECG, video, voice, and language/sentiment analysis of transcripts.
VIVO is an end-to-end pipeline transforming raw data to final biological insight, designed to allow maximum flexibility to experiment and modify workflows with flexible functionalities for biology.
Major cloud service providers offer off-the-shelf emotion prediction APIs, but accuracy and interpretability often fail to meet the needs of our clients. Read how our team developed a new approach to predict emotions from video. Here we describe the model building process, its current performance, and future considerations.
Learn about the approach and impact of the model we built to predict skin tone from face images and videos using a unique combination of computer vision and machine learning to help organizations monitor for racial biases in large datasets.
From strategy to deployment, we partner with you where you are in the AI/ML lifecycle.