What You Should Know:
- Proscia, a Philadelphia-based provider of digital and computational pathology solutions raises $37M to advance the way we understand and treat diseases like cancer. The round includes participation from Highline Capital Management, Triangle Peak Partners, and Alpha Intelligence Capital as well as existing investors including Scale Venture Partners, Hitachi Ventures, ROBO Global, Emerald Development Managers, and Razor's Edge Ventures. This investment brings Proscia's
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Hitachi
Researchers Develop AI Method for Personalized Diabetes Treatment
What You Should Know:
- Hitachi, U of U Health, and Regenstrief researchers partnered to develop and test a new AI method to improve personalized care for diabetes patients needing complex drug treatment.
- The new AI method can now be used to help determine an optimal drug regimen for a specific patient.
Hitachi, University of Utah Health, and Regenstrief Institute today announced the development of an artificial intelligence (AI) method to improve care for patients with type 2
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AHA Launches COVID-19 Data Challenge to Address Health Disparities Among African Americans, Hispanics, Native Americans in Rural Areas
What You Need to Know:
- American Heart Association, Hitachi Vantara and BurstIQ launch COVID-19 Data Challenge to bring global COVID-19 datasets to researchers and clinicians to examine the relationship with other health conditions and health disparities.
- Each participant of the challenge will be provided a free, HIPPA compliant and FedRAMP certified, secure Precision Medicine Platform (PMP) workspace to conduct analyses.
The American Heart Association, the
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Partners Connected Health to Develop AI Tool to Predict Risk of Hospital Readmissions
Partners Connected Health and Hitachi, Ltd., today announced a collaboration to develop a new artificial intelligence (AI) tool that can predict with high accuracy, the risk of hospital readmissions within 30 days for patients with heart failure. The tool will help identify appropriate patients to participate in a readmission prevention program study following hospital discharge, and can explain the reason why patients were identified as being at high risk.Hospital Readmission Prediction Study
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