Healthcare and Life Sciences
Transforming Health with AI
Healthcare and life sciences organizations are actively implementing the use of new technologies to improve and streamline operations. With strong leadership in automated machine learning (autoML), explainable AI and operational deployments, H2O.ai is co-innovating with major healthcare organizations to address existing and emerging challenges.
The H2O AI Hybrid Cloud helps organizations rapidly build world-class machine learning models and AI applications to deliver lasting impact for users across research, clinical, operational and financial dimensions.
Trends in Healthcare and Life Sciences
Artificial Intelligence based healthcare solutions have the potential to make healthcare more affordable and more accessible. H2O.ai’s AI and ML solutions empower the private sector, public sector, and not-for-profit organizations serving patients and consumers to address and solve the top trends in healthcare and life sciences.
Real-world evidence and smart clinical trials
Wellness, prevention, and value-based care
Data interoperability
Personalization through translational research
and precision medicine
Population health and social determinants
Targeted drug and therapeutic regimens
Growth and operational efficiencies
How the H2O AI Hybrid Cloud Helps
Discovering insights and making connections across the complexities of health related data is critical to delivering tangible value with AI. The H2O AI Hybrid Cloud platform simplifies access to business applications, data science best practices, rapid prototyping and collaboration while also enabling intelligent automation, acceleration and transparency through every step of the data science lifecycle
Accuracy
Optimized model creation with autoML, real time detection of data drift and access to a robust set of proprietary and open source algorithms.
Speed
Extensive autoML capabilities accelerate the data science lifecycle and optimize performance for CPUs and GPUs.
Trust
Industry leading toolkit for explainable AI, automated model documentation and robust machine learning operations.
Scale
Distributed machine learning for large datasets (petabytes), containerized deployments and streamlined governance of models and applications.
Flexibility
Platform agnostic architecture that is compatible with any environment with support for various modeling approaches and user personas.
AI Use Cases
Machine learning technologies and AI solutions have the potential to improve the affordability and accessibility of healthcare. H2O.ai empowers the private sector, public sector and not-for-profit organizations serving patients and consumers to solve a variety of use cases in healthcare and life sciences.
Hospital Operations
Public Health
Clinical
Application
Pharma Research
Precision Medicine
Supply Chain
Marketing
Human Resources & Talent
Finance
Healthcare Payer
Pharma Apps
With solutions spanning marketing, real world evidence, precision medicine, R&D and more, our platform offers the tools to support all diverse functions within the pharma industry.
Provider Apps
From computer vision and clinical decision support, to hospital operations and capacity management, a wide range of applications enable patient-facing organizations to perform at the highest standard.
Payer Apps
Simplifying the analysis of complex EMR and claims datasets, applications that facilitate claims adjudication, and automatic detection of overpayment and fraud are all possible on our platform.
The H2O.ai Difference
H2O.ai supports healthcare customers and life sciences organizations around the world. Our host of capabilities allow companies to quickly build impactful solutions, while providing transparency and trust throughout the implementation of real-world applications.
Automated Machine Learning:
AutoML is pervasive across the entire H2O AI Hybrid Cloud. Powering everything from feature transformation to model selection, monitoring and deployment, robust autoML capabilities are the engine behind our ability to deliver AI that does AI.
Natural Language Processing:
Extract insights from unstructured text data to discover trends, create more accurate and relevant information retrieval and create personalized recommendations, with a wide range of supported algorithms from simplistic TF-IDF based ones to state-of-the-art BERT based transformers.
Time Series Forecasting:
Easily fit and solve forecasting problems with unique feature engineering and autoML capabilities specifically designed to handle time series data. See how predictions are generated, and easily build forecasts across many categories such as individual skus, product hierarchy and more.
Computer Vision:
Use image data for modeling, with the ability to combine additional data types with your image data including text, tabular and audio data, with out-of-the-box access to all of the recent CNN-architectures and GPU accelerated training.
Explainable AI:
Easily understand the ‘why’ behind model predictions to build better models and provide explanations of model output at a global level (across a set of predictions) or at a local level (for an individual prediction).
Transforming Health with AI
With large volumes of data, increasing complexities in cost and patient outcomes and the current global pandemic, H2O.ai is a partner enabling the transformational needs of providers, pharma and patients. Organizations with robust data and analytics requirements and complex environments can leverage the H2O AI Cloud to provide cost-effective and high-impact care.
Case Studies
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