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Healthcare

Digitization of patient files and aggregation of public insurance data has led to an explosion of data. Big Data is revolutionizing the healthcare industry, improving the access and quality of patient care.

The Future Of Healthcare Data Security
HealthcareBig DataContributorsFeaturedInternet of Things

The healthcare industry, like many sectors, is undergoing a substantial data-driven transformation. New technologies like telehealth platforms and the internet of things (IoT) generate more granular medical data and make it more accessible. While this has many benefits, it also raises considerable healthcare data security concerns. There were 714 healthcare

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What Nanomachines Promise For The Humanity
HealthcareFeaturedIndustryInternet of Things

Nanomachines, also known as molecular machines or nanites, are molecular robots not larger than a strand of human hair. They can be programmed to carry out tasks in biological systems. Biologists frequently use these molecular machines to perform DNA replication and ATP synthesis tasks. Nanorobotics is one of the most

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Ai Vaccine Inspection
Artificial IntelligenceContributorsFeaturedHealthcare

In August 2021, the news about Japan suspending 1.63 million doses of the Moderna vaccine shocked the world community. It was revealed that the vaccine was contaminated with metal particles due to “human error specific to visually misjudging the required 1mm gap between the star-wheel and the stopper” of the

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How Artificial Intelligence (Ai) Can Fight Long Covid
Artificial IntelligenceContributorsFeaturedHealthcare

Clinicians pivoted their AI efforts to engage in the battle against the COVID-19 pandemic. How can it help those with persistent symptoms – the so-called “long COVID”? The emergence in March 2020 of the COVID-19 virus as a pandemic had a profound effect on the demand for health services that

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Dirty Data And Emr
HealthcareArtificial IntelligenceContributorsFeatured

While Electronic Medical Records (EMR) have been touted for decades as the golden ticket to exceptional patient care, research, and collaboration, the systems that support EMR have fallen short in delivering on that promise. The problem lies not so much in the systems themselves but in the quality of data

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Fitness - Data Science, Machine Learning, Ai
Artificial IntelligenceData ScienceFeaturedHealthcareMachine Learning

Our world revolves around data. Data science, machine learning, and AI have become some of the most critical technologies and industries in the 21st Century, penetrating almost every aspect of our lives, including fitness and wellbeing. The impact of technology on fitness industry On the consumer side, this technology triumvirate

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Medical Field Changing Thanks To Ai
HealthcareArtificial IntelligenceContributorsFeaturedUncategorized

Artificial intelligence is one of the most rapidly growing aspects of tech, and in a well-funded industry like the medical industry, new adaptations are helping with efficiency and precision. Ultimately, artificial intelligence is changing healthcare for good, but there are some growing pains as well. Many of those affect the

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Ai Advances In Diabetes Care
Artificial IntelligenceContributorsFeaturedHealthcare

The care pathway of every patient is unique, but for persons living with diabetes, it is a long and complex intervention of care processes spread across the care continuum. Luckily, AI is transforming how diabetes is detected, managed, and prevented while improving patient outcomes.  Today, about 463 million people are

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Polypoly And Gaia-X Partnership
HealthcareFeatured

GAIA-X – a funding competition associated with the German Federal Ministry for Economic Affairs and Energy (BMWI) – has published the outlines for its first and second approval tranche, and polypoly is part of it as a consortium partner for the HEALTH-X dataLOFT project. GAIA-X is a project that aims

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Pushing Boundaries With Machine Learning
Machine LearningEnergy & EnvironmentFeaturedHealthcareTechnology & IT

Machine learning (ML) is how a system learns and adapts its processes from the patterns found in large amounts of data. When we think of machine learning, some prominent examples come to mind. For instance, the way product recommendations on Amazon are eerily similar to Google searches you’ve done. The

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