The power of large language models to build a structured understanding of disease biology
Design a robust data science driven approach to analyze clinical trial participant data with the goal of driving stratification, predicting endpoints, and discovering predictive biomarkers
Video Analytics platform driving biomarker discovery for mental health
Design and implement a generalizable, scalable platform to support biomarker discovery on clinical trial data
Harnessing LLMs to Expedite Scientific Discovery and Unlock New Insights
Leveraging LLMs to Drive Informed Decision-Making
A better way to assess patients with depression and anxiety for a company bringing new therapeutics to market for neuropsychiatric disorders
Design a patient mobile application to capture, analyze, and present data insights to patients using a neuro device that treats neuropsychiatric disorders
Identify therapeutic candidates via multiomics informatics and evaluate top candidates against published literature to prioritize the best targets for drug development
Identify the most valuable AI/ML use cases for a medical device to improve patient outcomes
Analyze plant genomic data and recommend genetic engineering targets to increase yield and resilience of important, staple food crops using a scalable AI platform
Predictive models of engagement and behavior to guide personalized participant retention strategies in clinical trials
Design and implement a generalizable platform to import, process and quality assure clinical trial data to support data science analyses
Analyze proteomics data to guide the next phase of drug development of a novel candidate that showed promise in in-vitro and in-vivo studies
Design the software and cloud architecture to connect an ophthalmic imaging device to data processing pipelines and deep learning infrastructure
Design and build a realtime gaze tracking application to assess cognitive performance in dementia, concussion, and intoxication patient cohorts
Natural language processing (NLP) to extract relationships and themes from the evolving COVID-19 scientific literature
Empower telehealth and distributed clinical trial applications with video based heart rate (HR) and variability (HRV) measures
Design and implement a data science platform to support the full life cycle of ML/AI
Our client needed a unified approach to help them understand the biological context of their data and support their internal workflows.
Biomarker driven machine learning to exclude treatment non-responders from analysis, and inform biomarker-based exclusionary criteria in future trials
A digital biomarker and data pipeline for clinical trials
A computer vision pipeline and an ML model for a cancer diagnostic device.
Integrate a wearable device, clinical trial datasets, data science, and a mobile app to optimize disease management
A full stack application to explore the biological context of large scale proteomics results
Biomarker discovery platform to elucidate key bioprofiles and significantly improve ML model performance
A locally deployed command line tool and database for the analysis of protein assays across multiple experimental types and tissues
Time series analysis and statistical comparisons of health clinic KPIs to answer patient and business impact questions
A pipeline to automate the processing of whole genome sequencing files to generate microbiome insights
Machine learning to maximize signal-to-noise to differentiate between normal and malignant tissue.
Design and build production architecture for data science models for a medical device
Ingest and unify large scale health payor data to increase healthcare cost transparency for patients
Migrate existing computer vision pipelines from Vertex AI to Kubeflow
Better prioritize and allocate resources to the most serious claims
Create a strategy to build a data engineering team to support a biotech company's rapid growth.
Improve the performance of industry standard emotion detection models on people of color
Automatically evaluate which MRI scans can be used for subsequent analysis and modeling
Design and build production architecture for data science models based on time series data from sensors
Develop a pipeline that optimizes sales assignments to leads to increase revenue
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