machine learning – media

Machine Learning Applied to Manage Treatment-Resistant Depression

In an effort to know more about the etiopathogenesis of non-treatment responding to depression and to improve its management, Takeda and ConvergeHEALTH, data science institute by Deloitte collaborate to analyze patient datastores.
- Source: Ddu
- 983
- September 3, 2018
Company Insight digital health machine learning
Eye Movements Analysis for Parkinson’s Disease

A new robotic system called OSCANN Desk has been developed by researchers at Spain’s Universidad Politécnica de Madrid (UPM) and start-up AURA Innotive Robotics. The system has been designed for the accurate analysis of eye movements in order to detect neurodegenerative diseases such as Parkinson’s disease.
- Source: Verdict Medical Devices
- 674
- June 19, 2018
digital health machine learning New Approvals Parkinson’s disease
New AI technique dramatically improves the quality of medical imaging

AUTOMAP offers a number of potential benefits for clinical care, even beyond producing high-quality images in less time with MRI or with lower doses with X-ray, CT and PET. Because of its processing speed, the technique could help in making real-time decisions about imaging protocols while the patient is in the scanner.
- Source: Artificial Intelligence Research
- 481
- March 22, 2018
AI imaging machine learning Researches
Wearable Devices–A New Look For The Modern Clinical Trial

Clinical development has historically been a laborious and expensive process that stretches across all therapeutic areas. It is driven by lengthy patient recruitment timelines, increasingly complex study designs, and high procedural costs. Depending on whose data you believe, getting a new drug to market can now cost upwards of $1 billion and take more than 10 years or research and development effort. Additionally, a complex and dynamic regulatory framework has made sponsors reluctant to introduce new technologies to facilitate the development process.
- Source: clinicalleader
- 988
- November 2, 2017
Artificial Intelligence Clinical machine learning Researches wearables

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