ResApp Health Limited, a digital health startup provider of smartphone apps for respiratory disease diagnosis and management has signed a licensing agreement with UniQuest, the main commercialization company of The University of Queensland. The licensing agreement includes an additional diagnostic toolset of machine-learning algorithms that use a combination of clinical features to screen for childhood pneumonia. Pneumonia is the leading cause of mortality for children below five years of age.
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Machine Learning in Healthcare | ML News, Analysis, Insights - HIT Consultant
Penn Medicine’s Abramson Cancer Center Launches Initiative to Improve & Personalize BRCA Mutations
Cancer experts at the Basser Center for BRCA in the Abramson Cancer Center of the University of Pennsylvania have announced a new collaboration with Tempus to improve and personalize treatment for patients with heritable BRCA mutations. Tempus, a technology company focused on helping doctors personalize cancer treatment will analyze the molecular and clinical data of patients who were treated at the Basser Center and harbor a BRCA mutation using machine learning and advanced
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Intermedix Acquires WPC Healthcare to Optimize Revenue Cycle Through Predictive Analytics
Intermedix Corporation, a provider of data analytics and cloud-based technology has acquired healthcare data analytics provider WPC Healthcare. The Nashville, TN-based data analytics company uses machine learning to make predictions about health care conditions providing early notification to health care providers and, ultimately, saving lives while decreasing costs. Financial details of the acquisition were not disclosed. In 2015, Intermedix announced the creation of its analytics business
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Medable Launches Machine Learning Solution Specifically for Healthcare Apps
Medable, a Palo Alto-based healthcare app and analytics platform has unveiled Cerebrum, the first cloud-based machine learning solution created specifically for healthcare apps. Cerebrum leverages data gathering smartphones with a first-of-its-kind machine learning engine, resulting in health events becoming more easily predicted, such as warning an elderly relative when he is at greatest risk of a fall, or preventing an asthmatic child from triggering a life threatening episode.The new
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Samsung Integrates with MedyMatch’s A.I. Platform to Improve Stroke Assessment in Ambulances
Samsung NeuroLogica Corporation has announced an collaboration with Tel Aviv-based startup MedyMatch to integrate its MedyMatch’s A.I.-based clinical decision support app with Samsung NeuroLogica's medical imaging hardware in the acute care marketplace. This collaboration will create support tools which provide a second read capability to help caregivers quickly and accurately assess patients in prehospital environments. The announcement marks the Israel-based company traction following its
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Cognoa Lands $11.6M for Machine Learning App to Advance Diagnosis of Autism
Cognoa, a Palo Alto, CA-based digital health startup has raised $11.6 million in funding led by existing investor Morningside to advance earlier diagnosis of development delays in children. The company plans to utilize the funding to advance Cognoa's machine-learning-based technology; support additional clinical validation and the U.S. Food and Drug Administration (FDA) submissions and approvals process; and expand commercialization with employers, payers and clinicians. Cognoa has raised a
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IBM Watson Health Integrates with MedyMatch’s A.I. Platform to Help Doctors Identify Head Trauma and Stroke
IBM Watson Health has inked a licensing agreement with Tel Aviv-based startup MedyMatch to integrate its MedyMatch’s A.I.-based clinical decision support app to help doctors identify instances of intracranial bleeding as a result of head trauma and stroke. As part of the integration, IBM Watson’s Health Group will distribute the MedyMatch brain bleed detection application globally through its vendor neutral sales channels. Both companies have future plans to develop further interoperability
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KenSci Nabs $8.5M to Develop Machine Learning Apps for Healthcare
KenSci, a Seattle-based digital health startup building the world’s first vertically integrated machine learning platform for healthcare has raised $8.5 million in Series A funding led by Ignition Partners with participation from Osage University Partners and Mindset Ventures. The company plans to utilize the funding to scale its machine learning platform for predictive risk management and expand operations to support the company’s rapidly growing customer base.Incubated at the University of
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Health Catalyst Launches Open Source, Healthcare Machine Learning Repository
Healthcare data warehouse provider Health Catalyst has unveiled a free open source, machine learning repository specifically for healthcare data scientists to enable industry-wide collaboration to advance outcomes improvement through artificial intelligence. Named healthcare.ai, the open source repository is designed to make machine learning accessible to the thousands of healthcare professionals who possess little or no data science skills but who share an interest in using the technology to
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Mount Sinai Researchers Crowdsource Gene Expression Data for Drug & Target Discovery
Researchers at the Icahn School of Medicine at Mount Sinai have crowdsourced the annotation and analysis of a large number of gene expression profiles from the National Center for Biotechnology Information’s (NCBI) Gene Expression Omnibus (GEO). For the project, more than 70 volunteers from 25 countries helped Mount Sinai researchers analyze the data, enabling the identification of new associations between genes, diseases, and drugs – something that a smaller number of unaided researchers, or an
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