Healthcare Data Monetization: The Path to Innovation and Increased Revenue
Healthcare data is a powerful asset, with the potential to transform patient care and drive breakthroughs in personalized medicine, drug discovery, and disease prevention. Data monetization offers data custodians (Health Systems, Biobanks, Labs etc.) the opportunity to tap into this potential, generating new revenue streams while supporting advancements in medical research and innovation.
How UPenn Researchers Predicted Heart Transplant Rejection datma.BASE
At dātma, we have been privileged to support researchers in identifying new biomarkers to predict heart transplant rejection.
Navigating Challenges: Barriers to Adopting Genomic Testing and Targeted Therapy in Oncology
Explore the system and oncologist specific barriers to adopting genomic testing and targeted therapies along with potential solutions to address these challenges.
Visualization and UX Challenges in Utilizing Complex Multimodal Data
Producing usable visualizations and user-friendly UX for complex multimodal data presents hurdles as large as data management itself, especially when diverse users with varied use cases access the same data for vastly different tasks.
Unleashing the Power of AI in Healthcare: Conquering Data Challenges
The field of artificial intelligence (AI) is currently experiencing a period of remarkable growth. However, there are various challenges that need to be overcome in order to realize its full potential, both from technical and social perspectives.
Revolutionizing Healthcare with Federated Learning and Artificial Intelligence: A Collaborative Approach for Improving Medical Outcomes
The healthcare industry is on the brink of a transformative era, ready to personalize treatment plans based on individual genetic, environmental, and lifestyle factors.
Managing Large Molecular Data Sets
Regardless of whether it is for research or clinical use, any large-scale biomedical data management effort must address several common issues.