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Scientists Develop AI to Predict the Success of Startup Companies

A study in which machine-learning models were trained to assess over 1 million companies has shown that artificial intelligence (AI) can accurately determine whether a startup firm will fail or become successful. The outcome is a tool that has the potential to help investors identify the next unicorn.

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Open Call HORIZON-HLTH-2022-IND-13-04: Setting up a European Smart Health Innovation Hub

This topic aims at supporting activities that are enabling or contributing to one or several expected impacts of destination 6 "Maintaining an innovative, sustainable and globally competitive health industry". To that end, proposals under this topic should aim for delivering results that are directed, tailored towards and contributing to all of the following expected outcomes:

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Ranking Apps on Privacy

The last thing you want to do when installing a new, free app on your phone is to scroll through pages of information on what kind of access to your personal information it requires. App builders count on this, and their intrusive apps harvest data that they can then sell. That is why University of Groningen computer scientist Fadi Mohsen, together with colleagues from the University of Michigan-Flint (US) and the Palestinian An-Najah National University, has developed an algorithm that ranks similar apps on privacy scores.

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Researchers Use AI to Predict which COVID-19 Patients will Need a Ventilator to Breathe

Researchers at Case Western Reserve University have developed an online tool to help medical staff quickly determine which COVID-19 patients will need help breathing with a ventilator.

The tool, developed through analysis of CT scans from nearly 900 COVID-19 patients diagnosed in 2020, was able to predict ventilator need with 84% accuracy.

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Bittium Expands Its Minority Holdings in Remote Cardiology Service Companies in Europe

Bittium Biosignals Ltd, a subsidiary of Bittium Corporation, and British ECG service provider, Technomed Limited, have today signed an agreement under which Bittium will purchase a 25 percent stake in Technomed's capital stock. The agreement will strengthen the partnership between the companies in the development of ECG technology that measure the electrical activity of the heart.

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A Game Changer: Virtual Reality Reduces Pain and Anxiety in Children

It isn’t a matter of one needle puncture. Many children coming through the doors of Children's Hospital Los Angeles are seen for chronic conditions and often require frequent visits. Painful procedures - like a blood draw or catheter placement - can cause anxiety and fear in patients. Now, a study published in JAMA Network Open shows that virtual reality can decrease pain and anxiety in children undergoing intravenous (IV) catheter placement.

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Accenture HealthTech Innovation Challenge Names Eight Finalists

Accenture (NYSE: ACN) has named eight companies as finalists in the Accenture HealthTech Innovation Challenge, which brings together leading-edge startups with prominent health companies to tackle some of North America's greatest health challenges.

Attracting more than 2,600 startup applicants in the past five years, the Accenture HealthTech Innovation Challenge supports finding innovative approaches and solutions to help create better healthcare access, experiences and ultimately outcomes for all people.

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AI Algorithm Solves Structural Biology Challenges

Determining the 3D shapes of biological molecules is one of the hardest problems in modern biology and medical discovery. Companies and research institutions often spend millions of dollars to determine a molecular structure - and even such massive efforts are frequently unsuccessful.

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Data MATRIX Introduces an AI-Operated Patient Survival Assessment Tool

Data MATRIX, a sole Real-World Evidence solutions provider in Russia, has presented a predictive analytics tool for estimating patient survival based on Real-World Data.

An important feature of the presented tool for predictive analysis of Real-World Data is its countrywide potential, and the ability to collect and analyze data on different patient cohorts.

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Waiting Times for Medical Admissions Reduced by 34% at Bolton NHS Foundation Trust by New Clinically-Led Digital Solution

Clinicians at Bolton NHS Foundation Trust have dramatically reduced patient waiting times, decreased hospital length of stay and improved patient safety after developing an electronic acute medical list solution to manage patient referrals. 

The configuration was initially set-up to track referrals and admissions to the Acute Medicine Unit (AMU) Team from multiple sources.

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