Well File:

health & medicine


Handwriting Declines With Human Aging: A Machine Learning Study

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BackgroundHandwriting is an acquired complex cognitive and motor skill resulting from the activation of a widespread brain network. Handwriting therefore may provide biologically relevant information on health status. Also, handwriting can be collected easily in an ecological scenario, through safe, cheap, and largely available tools. Hence, objective handwriting analysis through artificial intelligence would represent an innovative strategy for telemedicine purposes in healthy subjects and people affected by neurological disorders.Materials and MethodsOne-hundred and fifty-six healthy subjects (61 males; 49.6 ± 20.4 years) were enrolled and divided according to age into three subgroups: Younger adults (YA), middle-aged adults (MA), and older adults (OA). Participants performed an ecological handwriting task that was digitalized through smartphones. Data underwent the DBNet algorithm for measuring and comparing the average stroke sizes in the three groups. A convolutional neural network (CNN) was also used to classify handwriting samples. Lastly, receiver operating characteristic (ROC) curves and sensitivity, specificity, positive, negative predictive values (PPV, NPV), accuracy and area under the curve (AUC) were calculated to report the performance of the algorithm.ResultsStroke sizes were significantly smaller in OA than in MA and YA. The CNN classifier objectively discriminated YA vs. OA (sensitivity = 82%, specificity = 80%, PPV = 78%, NPV = 79%, accuracy = 77%, and A...


Tiny robotic crab is smallest-ever remote-controlled walking robot: Smaller than a flea, robot can walk, bend, twist, turn and jump

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Just a half-millimeter wide, the tiny crabs can bend, twist, crawl, walk, turn and even jump. The researchers also developed millimeter-sized robots resembling inchworms, crickets and beetles. Although the research is exploratory at this point, the researchers believe their technology might bring the field closer to realizing micro-sized robots that can perform practical tasks inside tightly confined spaces. The research will be published on Wednesday (May 25) in the journal Science Robotics. Last September, the same team introduced a winged microchip that was the smallest-ever human-made flying structure.


Disease Classification using Medical MNIST

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The objective of this study is to classify medical images using the Convolutional Neural Network(CNN) Model. Here, I trained a CNN model with a well-processed dataset of medical images. This model can be used to classify medical images based on categories provided as per the training dataset. This dataset was developed in 2017 by Arturo Polanco Lozano. It is also known as the MedNIST dataset for radiology and medical imaging. For the preparation of this dataset, images have been gathered from several datasets, namely, TCIA, the RSNA Bone Age Challange, and the NIH Chest X-ray dataset.


Crabtastic! Adorable robotic crab tinier than a FLEA can bend, twist, crawl and even jump

Daily Mail - Science & tech

An adorable robotic crab has been developed by scientists – but you'll need a magnifying glass if you want to see it. The tiny bot is inspired by peekytoe crabs and measures just 0.02 inches (0.5mm) wide, making it the smallest ever remote-controlled walking robot. Despite being smaller than a flea, the robot can bend, twist, crawl, walk, turn, and even jump. Researchers from Northwestern University, who developed the robot, believe the bot could be used to perform a range of tasks in confined spaces. 'You might imagine micro-robots as agents to repair or assemble small structures or machines in industry or as surgical assistants to clear clogged arteries, to stop internal bleeding or to eliminate cancerous tumours -- all in minimally invasive procedures,' said Professor John Rogers, who led the project.


Artificial Intelligence sleep app may mean an end to sleeping pills for insomniacs

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A new artificial intelligence sleep app has been developed that might be able to replace sleeping pills for insomnia sufferers. Sleepio uses an AI algorithm to provide individuals with tailored cognitive behavioural therapy for insomnia (CBT-I). The National Institute for Health and Care Excellence (Nice) said it would save the NHS money as well as reduce prescriptions of medicines such as zolpidem and zopiclone, which can be dependency forming. Its economic analysis found healthcare costs were lower after one year of using Sleepio, mostly because of fewer GP appointments and sleeping pills prescribed. The app provides a digital six-week self-help programme involving a sleep test, weekly interactive CBT-I sessions and keeping a diary about sleeping patterns.


Early sound exposure in the womb shapes the auditory system

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Inside the womb, fetuses can begin to hear some sounds around 20 weeks of gestation. However, the input they are exposed to is limited to low-frequency sounds because of the muffling effect of the amniotic fluid and surrounding tissues. A new MIT-led study suggests that this degraded sensory input is beneficial, and perhaps necessary, for auditory development. Using simple computer models of the human auditory processing, the researchers showed that initially limiting input to low-frequency sounds as the models learned to perform certain tasks actually improved their performance. Along with an earlier study from the same team, which showed that early exposure to blurry faces improves computer models' subsequent generalization ability to recognize faces, the findings suggest that receiving low-quality sensory input may be key to some aspects of brain development.


How visual-based AI is evolving across industries

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Artificial Intelligence is transforming the business world as a whole with all its applications and potential, with visual-based AI being capable of digital images and videos. Visual-based AI, which refers to computer vision, is an application of AI that is playing a significant role in enabling a digital transformation by enabling machines to detect and recognize not just images and videos, but also the various elements within them, such as people, objects, animals and even sentiments, emotional and other parameters-based capabilities to name a few. Artificial intelligence is now further evolving across various industries and sectors. Transport: Computer vision aids in a better experience for transport, as video analytics combined with Automatic number plate recognition can help in tracking and tracing violators of traffic safety laws (speed limits and lane violation etc.) and stolen or lost cars, as well as in toll management and traffic monitoring and controlling. Aviation: Visual AI can help in providing prompt assistance for elderly passengers and for those requiring assistance (physically challenged, pregnant women etc.); it can also be useful in creating a new "face-as-a-ticket" option for easy and fast boarding for passengers, in tracking down lost baggage around the airport as well as in security surveillance on passengers and suspicious objects (track and trace objects and passengers relevant to it).


AI Framework Cuts Time, Effort Needed to Predict Critical Care Outcomes

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With sufficient data and the right parameters, AI models perform quite well when asked to predict clinical outcomes. But in this case, 'sufficient data' often translates as an impractical number of patient features to collect in many care settings,


Encord Named to the 2022 CB Insights AI 100 List of Most Innovative Artificial Intelligence Startups

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CB Insights named Encord, the platform for data-centric computer vision, on its annual AI 100 ranking, a list showcasing the 100 most promising private artificial intelligence companies in the world. "However, this is just the beginning and we have exciting developments on the horizon – watch this space." "This is the sixth year that CB Insights has recognized the most promising private artificial intelligence companies with the AI 100. This year's cohort spans 13 industries working on everything from recycling plastic waste to improving hearing aids," said Brian Lee, SVP of CB Insights' Intelligence Unit. "Last year's AI 100 companies had a remarkable run, raising more than $6 billion, including 20 mega-rounds worth more than $100 million each. We're excited to watch the companies on this year's list continue to grow and create products and services that meaningfully impact the world around them." "We're honoured to not only be recognized as an innovative AI Startup but also as the only company within the computer vision bracket. The whole team has worked tirelessly from its humble beginnings to get to where we are today and for this effort to be recognized is great kudos to everyone," said Ulrik Stig-Hansen, Co-Founder & CEO at Encord.


Overjet partners with Great Lakes Dental Partners

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Overjet, a leader in dental artificial intelligence solutions for providers and payers, today announced a partnership with Great Lakes Dental Partners, the Midwest's Premier Dental Support Organization. "We chose to partner with Overjet because they share our commitment to clinical excellence," said Dr. Charles Zasso, Chief Clinical Officer at Great Lakes Dental Partners. "Overjet supports our providers in achieving more consistent and improved patient outcomes while improving patient understanding and communication. Overjet has an unmatched reputation in pioneering dental innovations that advance patient care, and we are pleased to partner with them." "GLDP's affiliations are well-known in the Midwest for providing exceptional dental care, and GLDP has a great reputation for providing best-in-class support in operations, recruiting, technology, and marketing to its affiliations," said Chris Thompson, VP of Sales at Overjet.