Digital Health is vastly improving clinical outcomes by making healthcare more personalized and tailored to the patient. Digital health platforms bridge disparate pieces of medical information, providing a more continuous, reliable and complete picture of the patient's health, and data analytics algorithms process information that is specific to individuals, leading to more personal and effective solutions.
Genoox is a healthcare and technology company aiming to make clinical genetic sequencing more accessible. Using the company's cloud-based advanced framework encompassing purpose-built applications, users can easily manage the entire genetic sequencing process and create virtual genetic test modules providing plug-and-play options for the delivery of clinical actionable insights and disease diagnoses. Driven by artificial-intelligence technology, the company's product, Franklin, integrates data from published literature and publicly available population, disease, and sequence databases and employs machine learning to derive a prediction aggregation score and adjust the weights of ACMG classification criteria. Genoox aims to improve patient outcomes with increased accuracy and efficiency, enabling personalized medicine and patient-specific treatments.See full profile >>
2bPrecise offers a platform for delivering integrated, actionable genomic information along with existing patient data directly into the clinician's workflow in any electronic health record. The semantically stored, research-ready data can be accessed and used for later study as science evolves, providing a powerful set of clinical decision-making tools at the point of care. The company's full suite of capabilities is designed to accelerate precision medicine integration from both genomic and machine-learning environments, enabling users to make faster diagnostic decisions and identify the most effective treatment within weeks. 2bPrecise's complete end-to-end solution is aimed at improving patient care and clinical outcomes for every patient. 2bPrecise is a wholly owned subsidiary of Allscripts Healthcare.See full profile >>
Taliaz is the developer of Predictix, an AI branded platform designed to help doctors deliver on the promise of personalized medicine. Based on proprietary IP and expertise in scientific data deep learning, Predictix generates doctor-centric therapy prediction reports for individual patients. The Predictix reports are managed as a decision-support tool, enabling both GPs and specialists to make informed treatment choices for improved patient outcomes. The company’s flagship application addresses the number one health burden in the world according to the World Health Organization: depression. The Predictix Anti-Depressant AI system is a noninvasive, user-friendly application that analyzes genomic, clinical, and demographic data to generate a personalized report that includes statistical analysis on the efficacy of antidepressants and their side effects, allowing doctors to optimize antidepressant treatment strategies for enhanced patient outcomes.See full profile >>
DayTwo is a microbiome-based precision medicine company developing personalized nutrition, diagnostic, and therapeutic solutions using artificial intelligence and machine learning. The company's database of the gut microbiome is the foundation for the DayTwo Human Discovery Platform, which identifies precision medicine therapies, diagnostics, and care solutions for metabolic and other diseases. The initial product enables glycemic control and is targeted for people with type-2 diabetes, helping them balance blood sugar levels, lower HbA1C, and lose weight using a food-as-medicine approach personalized to the subject's clinical and personal traits. So far, the company has completed three IRB clinical trials, with a total of 1,500 subjects. The first two were completed at the Weizmann Institute of Science in Israel with over 1,000 subjects, and the third trial, at the Mayo Clinic in Minnesota with 350 subjects. The company is focusing its resources on the B2B channel, through large provider clinics, hospital systems, employers, and health plans.See full profile >>
Medial EarlySign develops machine-learning-based decision-support tools that expose the hidden layer of information in standard medical data. These new insights enable personal and outcome-based interpretation of medical data, yielding individualized predictions and treatment options for each patient, as well as early prediction of life-threatening conditions. The company's tools are designed to offer healthcare organizations a new way of looking at their data, empowering them with proactive, personalized, and predictive care management capabilities. Medial EarlySign built and refined an algorithmic platform designed to handle large-scale medical data and billions of medical data elements. The company's validated algo-medical platform creates thousands of parameters based on existing medical data, analyzing trends and interrelationships over time. This enables users to set personalized risk levels for mass populations in moments and identify individuals who may require further intervention. The company is currently conducting clinical trials in 14 research institutions around the world with more than 5 million patients. Medial EarlySign was named a cool vendor in "Cool Vendors in AI for Healthcare, 2017" by the Gartner Research Group.See full profile >>
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Welcome to www.startupnationcentral.org (together with its subdomains, the “Site“, and together with the Content, Marks (defined below) and any services, the “Service”).
Last updated: January 2018
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Our California Do Not Track Notice
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Last Updated: January, 2018