The 'Qrativ' Startup Uses Smart Technology to Find Disease Treatments
Rahul Kalvapalle — July 21, 2017 — Business
References: qrativ.bio & pharmaphorum
The Mayo Clinic is known as one of the world's most prestigious hospitals, and the venerable hospital has now teamed up with AI technology company Nference to create an all-new medical startup that is designed to create a confluence of world-leading medical and clinical knowledge with cutting-edge artificial intelligence platforms to discover disease treatments with greater accuracy.
The medical startup in question, dubbed Qrativ, uses learning-focused artificial intelligence to peruse through gigantic hordes of clinical literature and medical data in order to find new information about diseases, uncover patterns and assist doctors with coming up with treatments.
Ultimately, even the most brilliant human-being cannot match the data analysis abilities of AI-driven machines, which is why the Qrativ startup represents a perfect marriage between digital and human capabilities in the medical sphere.
The medical startup in question, dubbed Qrativ, uses learning-focused artificial intelligence to peruse through gigantic hordes of clinical literature and medical data in order to find new information about diseases, uncover patterns and assist doctors with coming up with treatments.
Ultimately, even the most brilliant human-being cannot match the data analysis abilities of AI-driven machines, which is why the Qrativ startup represents a perfect marriage between digital and human capabilities in the medical sphere.
Trend Themes
1. AI-fueled Medical Startups - The use of AI technology in medical startups is revolutionizing disease treatment discovery.
2. Learning-focused Artificial Intelligence - Artificial intelligence platforms that focus on learning are helping doctors uncover new information about diseases and patterns.
3. Confluence of Medical Knowledge and AI - The integration of world-leading medical and clinical knowledge with AI platforms is improving the accuracy of disease treatments.
Industry Implications
1. Healthcare - The healthcare industry can explore AI-driven solutions to enhance disease treatment discovery and improve patient care.
2. Technology - The technology industry can innovate and develop learning-focused AI platforms for medical research and analysis.
3. Artificial Intelligence - The AI industry can collaborate with medical professionals to create AI systems that assist in diagnosing and treating diseases more accurately.
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