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How Old Are You, Really? AI can Tell Your True Age by Looking at Your Chest

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Research
17 August 2023
What if "looking your age" refers not to your face, but to your chest? Osaka Metropolitan University scientists have developed an advanced artificial intelligence (AI) model that utilizes chest radiographs to accurately estimate a patient's chronological age. More importantly, when there is a disparity, it can signal a correlation with chronic disease.
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Study Proposes Use of AI to Diagnose Autism Spectrum Disorder

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Research
16 August 2023
Diagnosing autism spectrum disorder (ASD) is still a daunting challenge because of the degree of complexity involved, requiring highly specialized professionals. Autism is a multifactorial neurodevelopment disorder with widely varying symptoms. In the United States, about 1 in 36 children have been diagnosed with ASD, according to the Centers for Disease Control and Prevention (CDC), and yet there are no biochemical markers to identify it with precision.
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Digital Puzzle Games could be Good for Memory in Older Adults

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Research
15 August 2023
Older adults who play digital puzzle games have the same memory abilities as people in their 20s, a new study has shown.

The study, from the University of York, also found that adults aged 60 and over who play digital puzzle games had a greater ability to ignore irrelevant distractions, but older adults who played strategy games did not show the same improvements in memory or concentration.

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Scientists Harness the Power of AI to Shed Light on Different Types of Parkinson's Disease

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Research
10 August 2023
Researchers at the Francis Crick Institute and UCL Queen Square Institute of Neurology, working with technology company Faculty AI, have shown that machine learning can accurately predict subtypes of Parkinson’s disease using images of patient-derived stem cells.

Their work, published today in Nature Machine Intelligence, has shown that computer models can accurately classify four subtypes of Parkinson’s disease, with one reaching an accuracy of 95%.

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New Machine-Learning Method may Aid Personalized Cancer Therapy

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Research
09 August 2023
Deep-learning technology developed by a team of Johns Hopkins engineers and cancer researchers can accurately predict cancer-related protein fragments that may trigger an immune system response. If validated in clinical trials, the technology could help scientists overcome a major hurdle to developing personalized immunotherapies and vaccines.
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ikHerstel App Ensures 30% Faster Recovery After Major Abdominal Operations

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Research
03 August 2023
Through the use of eHealth application ikHerstel, patients recover from major abdominal operations 30% faster than patients who do not use the app. That is the main conclusion of research led by Amsterdam UMC across eleven Dutch hospitals. The app aims to empower patients to feel more in control of their recovery process. The results were published today in Lancet Digital Health.
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New Neuroimaging Approach could Improve Diagnosis of Schizophrenia

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Research
02 August 2023
New research led by scientists working with Georgia State University's TReNDS Center has identified age-related changes in brain patterns associated with the risk for developing schizophrenia.

The discovery could help clinicians identify the risk for developing mental illness earlier and improve treatment options. The study is published in the Proceedings of the National Academy of Sciences (PNAS).

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More eHealth News ...

  1. Google & ChatGPT Have Mixed Results in Medical Information Queries
  2. AI-Based Wastewater Sampling Predicts COVID Hospital Admissions
  3. Reinforcement Learning for Improved Performance of AI Explored
  4. AI-Based System Developed by Lithuanian Researchers will Help People after Stroke
  5. AI Uses Lung CT Data to Predict Mortality Risk
  6. ChatGPT's Responses to People's Healthcare-Related Queries are Nearly Indistinguishable from those Provided by Humans
  7. New Geometric Deep Learning Model for Detecting Stroke Lesions
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