Our Innovation Analysts recently looked into emerging technologies and up-and-coming startups in the healthcare industry. As there is a large number of startups working on a wide variety of solutions, we decided to share our insights with you. This time, we are taking a look at 4 promising big data and analytics solutions.
Heat Map: 4 Top Big Data & Data Analytics Startups
For our 4 picks of big data and analytics startups, we used a data-driven startup scouting approach to identify the most relevant solutions globally. The Global Startup Heat Map below highlights 4 interesting examples out of 663 relevant solutions. Depending on your specific needs, your top picks might look entirely different.
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InnVentis – Personalized Medicine
High-throughput analysis and omics are used to get massive amounts of data on multiple patients. This information is combined with algorithms and machine learning to handle data and extract valuable information to develop new specific and personalized medicine products.
The Israeli pharmaceutical company InnVentis uses big data and machine learning to create an ecosystem for speeding up drug development, diagnostics and health management of inflammatory diseases and arthritis management. The platform could extend to other inflammatory conditions, such as asthma and multiple sclerosis.
CancerIQ – Predictive Medicine
Leveraging big data analytics from wearables, sensors, cell phones, and electronic medical records, the healthcare industry offers personalized and predictive systems, that are oriented to prevent diseases before they strike. Already used in China, South Korea, or Austria, anonymized mobile phone data helps to predict the spread of pandemics, such as COVID-19 and supports government officials in deciding which actions to take.
The US-based company CancerIQ uses genetic information to predict, pre-empt, and prevent diseases — starting with cancer. They make it easier to identify patients at risk by offering a genetic evaluation at the point of care and design a tailored cancer prevention plan.
QorQl – Connected Health Platforms
A system, designed for a seamless capturing of data during the entire illness cycle of the patient, by connecting doctors with patients and providing relevant healthcare data, gives a longitudinal view of health data for better care quality.
The Indian company QorQl builds a platform using computer vision technologies, neural networks, Java Backend built around NoSQL DataStores and other related technologies for analytics, healthcare quality, and patient experience.
MediChain – Patient Data Management
With blockchain technology, patients can decide how anonymized they want their data to be, but can opt to let medical scientists discover new cures for the ailments that are of interest by offering their data as ‘big data’.
The UK-based MediChain uses blockchain technology to create a user-focused electronic health record whilst maintaining a true version of a user’s data. It enables the user to give healthcare professionals access to their personal health data or to only show a certain part of it.
What About The Other 659 Big Data & Analytics Startups?
While we believe data is key to creating insights it can be easy to be overwhelmed by it. Our ambition is to create a comprehensive overview and provide actionable innovation intelligence for your Proof of Concept (PoC), partnership, or investment targets. The 4 big data and analytics startups showcased above are promising examples out of 663 we analyzed for this article. To identify the most relevant solutions based on your specific criteria and collaboration strategy, get in touch.
