A New Machine Learning Model can Classify Lung Cancer Slides at the Pathologist Level
Machine learning has improved dramatically in recent years and shown great promise in the field of medical image analysis. A team of research specialists at Dartmouth's Norris Cotton Cancer Center have utilized machine learning capabilities to assist with the challenging task of grading tumor patterns and subtypes of lung adenocarcinoma, the most common form of the leading cause of cancer-related deaths worldwide.
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Bringing more Human Intelligence to AI, Data Science and Digital Automation
The advent of data science, wireless connectivity and sensors, artificial intelligence (AI), and the Internet of Things (IoT) has raised the prospects for digital automation, smart hospital design and the home health care industry for an aging population. A new horizon scanning analysis described why AI, data science, and digital automation need more of the human element.
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Open-Source Software Tracks Neural Activity in Real Time
Tracking the firings of individual neurons is like trying to discern who is saying what in a football stadium full of screaming fans. Until recently, neuroscientists have had to tediously track each neuron by hand. A breakthrough software tool called CaImAn automates this arduous process using a combination of standard computational methods and machine-learning techniques.
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UK Sales of Xanax and other Prescription Psychiatric Drugs Increasing via the Darknet
Sales of prescription psychiatric drugs such as Xanax and diazepam via darknet online drug markets have increased in the UK at an alarming rate, according to new research by the University of Kent and King's College London. The findings validate concerns that non-medical prescription drug use (NMPDU) is becoming increasingly common in the UK and that policy makers need to act to address this issue.
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Use of Clinical Apps Significantly Improves Quality of Cardiovascular Care
A pilot program using several clinical decision support tools in the outpatient setting to treat and educate stable ischemic heart disease patients has shown success in improving angina in these patients. Findings from the Florida Cardiovascular Quality Network study were presented at the American College of Cardiology's Cardiovascular Summit in Orlando.
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New AI Toolkit is the 'Scientist that never Sleeps'
Researchers have developed a new AI-driven platform that can analyse how pathogens infect our cells with the precision of a trained biologist. The platform, HRMAn ('Herman'), which stands for Host Response to Microbe Analysis, is open-source, easy-to-use and can be tailored for different pathogens including Salmonella enterica.
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Big Data Approach Shown to be Effective for Evaluating Autism Treatments
Researchers at Rensselaer Polytechnic Institute who developed a blood test to help diagnose autism spectrum disorder have now successfully applied their distinctive big data-based approach to evaluating possible treatments. The findings, recently published in Frontiers in Cellular Neuroscience, have the potential to accelerate the development of successful medical interventions.
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