Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the healthcare sector. This time, you get to discover 5 hand-picked startups developing health risk prediction solutions.
Global Startup Heat Map: 5 Top Health Risk Prediction Startups
The 5 risk prediction startups you will explore below are chosen based on our data-driven startup scouting approach, taking into account factors such as location, founding year, and relevance of technology, among others. This analysis is based on the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering over 1.3 million startups & scaleups globally.
The Global Startup Heat Map below highlights the 5 health risk prediction startups our Innovation Researchers curated for this report. Moreover, you get insights into regions that observe a high startup activity and the global geographic distribution of the 321 companies we analyzed for this specific topic.
TIIM Healthcare provides Cardiac Risk Stratification
Patient risk stratification is especially important for the triage process. It allows hospitals and clinics to distinguish between patients with life-threatening conditions and those who don’t require urgent treatment. Then, healthcare providers are able to prioritize interventions based on the predicted risk. Moreover, cardiovascular diseases are the main cause of death globally. Cardiac risk stratification solutions are becoming a crucial part of emerging healthcare innovations. Startups and scaleups develop hardware and software solutions to enable cardiac risk stratification in triage.
Singapore-based startup TIIM Healthcare provides aiTriage, a cardiac risk stratification and disease prediction solution for triage. aiTriage uses machine learning (ML) algorithms for real-time risk assessment, completed within 5 minutes, allowing clinicians to treat high-risk patients immediately. The solution predicts the risk for Major Adverse Cardiac Events (MACE), differentiating it from other less urgent medical conditions.
Prealize Health enables Risk Prediction for Health Plans
The shift from reactive to proactive and predictive healthcare brings a number of benefits for health plans, providers, and patients. Proactive care predicts and manages conditions before symptoms appear in order to improve a patient’s prognosis. Health plans also ensure better results for patients and reduce healthcare costs by eliminating the need for treatment at a later stage.
Prealize Health is a predictive analytics company from the US helping health planners predict diagnosis up to 12 months before it hits a claim. The solution delivers insights into members’ clinical and non-clinical risks and selects high-impact cases. Then, the system matches members with their tailor-made programs to help them stay healthy. Prealize Health also seamlessly integrates with existing clinical workflows and digital solutions, allowing health institutions to quickly implement the solution.
Predict Disease calculates Personalized Risk Scores
Nowadays, a large volume of health-related data is generated and collected. Digital health startups develop solutions that analyze these data to calculate an individual risk score for patients. The risk score helps identify patients who are more likely to develop, for example, chronic diseases. Such solutions also enable physicians to give their patients personalized recommendations on how to prevent or delay disease development.
Predict Disease is a US-based startup that offers SymptomAI, a predictive analytics platform for healthcare. The platform processes data about patients’ lifestyles, demographics, and family histories. The startup’s SymptomAI platform combines big data, cloud storage, and advanced analytics to offer real-time insights into chronic diseases. Further, the platform matches data from research papers and medical articles to predict the risk of chronic diseases.
Mettle AI predicts Mental Health Deterioration
The burden of mental health disorders negatively impacts the lives of the people suffering from these disorders. While risk prediction is equally important for physical and mental health, physical disease prediction is more prevalent in the market. To overcome this, startups around the globe develop risk prediction solutions, specifically catering to mental health disorders.
Canadian startup mettleAI created an AI-enabled platform that predicts substance abuse and overall mental health deterioration before it actually happens. For those undergoing rehabilitation, the platform evaluates behavioral and wearables data, as well as patient input, to predict the risk of a relapse. MettleAI enables healthcare providers to make timely and informed decisions, offer each patient a personalized treatment plan based on his risk score and prioritize patients that require urgent interventions.
Mesh Bio enables Long-term Health Risk Prediction
For many common chronic diseases, the symptoms take years to develop to the point they can no longer be ignored. Long-term risk prediction of such diseases and their adverse events plays an important role in preventing patients’ deterioration. In response to these challenges, startups create data analytics platforms that enable risk prediction several years in advance.
Singapore-based startup Mesh Bio develops DARA, a predictive analytics platform that projects a patient’s risk trends for the next 10 years. The platform predicts risks of various diseases, including diabetes and cardiovascular diseases. DARA helps patients understand the impact of their lifestyle choices on their health. The platform also empowers physicians by providing actionable and personalized insights on each of their patients’ health and their risk of contracting diseases.
Discover all Health Risk Prediction Startups
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