Digital cardiology: analyzing data beat by beat -- MEDICA - World Forum for Medicine

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Insoles: AI-powered shoes unlock the secrets of your sole

18.03.2020

Researchers at Stevens Institute of Technology have developed an AI-powered, smart insole that instantly turns any shoe into a portable gait-analysis laboratory.
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Genetics: New low-cost method to reduce DNA errors

18.03.2020

DNA only persists through replication - naturally or synthetically. While humans need the genetic material to be reproduced in order to replace old or damaged cells, the ability to replicate DNA in a laboratory setting can provide researchers insights into the mechanisms of disease or the platform to develop treatments.
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AI and human knowledge for faster, better cancer diagnosis

16.03.2020

A new system combining artificial intelligence (AI) with human knowledge promises faster and more accurate cancer diagnosis. The powerful technology, developed by a team led by engineering researchers at the University of Waterloo, uses digital images of tissue samples to match new cases of suspected cancer with previously diagnosed cases in a database.
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AI: blood test points to risk of weight gain and diabetes

12.03.2020

Researchers at the University of Campinas (UNICAMP) in São Paulo State, Brazil, have developed a computer program that analyzes molecules in blood plasma to search for biomarkers that identify individuals who are at risk of becoming overweight and developing obesity-related diseases.
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Cardiovascular diseases: using AI to navigate the catheter

09.03.2020

Treatment of a heart attack or stroke caused by vascular occlusion must be prompt to prevent further damage to vital tissue. Unfortunately, the actual treatment is often preceded by a lengthy catheter-based procedure where the cardiologist manually guides the catheter to the affected vessel. AI might perform this task in the future.
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Coronavirus: app for rapid at-home assessment

09.03.2020

A coronavirus app coupled with machine intelligence will soon enable an individual to get an at-home risk assessment based on how they feel and where they've been in about a minute, and direct those deemed at risk to the nearest definitive testing facility, investigators say.
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Robot draws blood using artificial intelligence and imaging

05.03.2020

Rutgers engineers have created a tabletop device that combines a robot, artificial intelligence and near-infrared and ultrasound imaging to draw blood or insert catheters to deliver fluids and drugs.
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Image: Computer-generated image of the heart and the surrounding blood vessels in the body; Copyright: panthermedia.net/Sebastian Kaulitzki

AI helps predict heart attacks and stroke

27.02.2020

Artificial intelligence has been used for the first time to instantly and accurately measure blood flow, in a study led by UCL and Barts Health NHS Trust. The results were found to be able to predict chances of death, heart attack and stroke, and can be used by doctors to help recommend treatments which could improve a patient's blood flow.
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AI finds disease-related genes

26.02.2020

An artificial neural network can reveal patterns in huge amounts of gene expression data and discover groups of disease-related genes. This has been shown by a new study led by researchers at Linköping University, published in Nature Communications. The scientists hope that the method can eventually be applied within precision medicine and individualized treatment.
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Innovative wirelessly powered pacing system

20.02.2020

Researchers at Texas Heart Institute (THI) and UCLA crossed a significant milestone in the development of wirelessly powered, leadless pacemakers. In an article in the Nature Research journal Scientific Reports, the team used their innovative pacing system to reveal the ability to provide synchronized biventricular pacing to a human-sized heart in a preclinical research model.
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Image: colorful visualization of how the team's multitask convolutional neural network classifies primary cancer sites; Copyright: Hong-Jun Yoon/ORNL

AI tool to extract cancer data in record time

19.02.2020

Cancer is a public health crisis that afflicts nearly one in two people during their lifetime. Cancer is also an oppressively complex disease. Hundreds of cancer types affecting more than 70 organs have been recorded in the nation's cancer registries - databases of information about individual cancer cases that provide vital statistics to doctors, researchers, and policymakers.
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Non-invasive method to predict onset of dementia

12.02.2020

Information gathered from routine visits to the doctor is enough to accurately predict a person's risk of developing Alzheimer's disease and related dementias, according to new research. The researchers developed and tested machine learning algorithms using data from electronic medical records to identify patients who may be at risk for developing the dementia.
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AI: analyzing myoclonus severity from video footage

10.02.2020

Fast, reliable and automatic assessment of the severity of myoclonic jerks from video footage is now possible, thanks to an algorithm using deep convolutional neural network architecture and pretrained models that identify and track keypoints in the human body.
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Digitalization joins the fight against multi-resistant pathogens

05.02.2020

Developing fundamental new approaches against multi-resistant pathogens is the aim of the new Bavarian research network called New Strategies Against Multi-Resistant Pathogens by Means of Digital Networking - bayresq.net. A scientist from FAU is also conducting research in an interdisciplinary sub-project in the network.
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Digital cardiology: analyzing data beat by beat

03.02.2020

Chronic cardiovascular diseases are a growing burden worldwide. Most of them are diseases of civilization that spread, where lifestyle is improving or where it is good already. But the healthcare systems are not growing equally to keep up with this development. We can make up for this by making cardiological care smarter with eHealth and mHealth.
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Image: person holding hand to the heart with a graphic depiction of a heart in front of them; Copyright: panthermedia.net/suriyaphoto

Cardisiography: A Non-Invasive Heart Screening Test

03.02.2020

Coronary heart disease can come as a complete surprise and occur suddenly. Cardisiography was designed to lower the risk and make faster intervention possible. As a non-invasive heart screening test, cardisiography offers the possibility of early detection for heart diseases.
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Virtual assistants: can they support first aid?

29.01.2020

Virtual assistants don't yet live up to their considerable potential when it comes to providing users with reliable and relevant information on medical emergencies, according to a new study from University of Alberta researchers.
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AI-analyzed blood test for neurodegenerative disease

29.01.2020

Evaluating the effectiveness of therapies for neurodegenerative diseases is often difficult because each patient's progression is different. A new study shows artificial intelligence (AI) analysis of blood samples can predict and explain disease progression, which could one day help doctors choose more appropriate and effective treatments for patients.
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AI can jump-start radiation therapy for cancer patients

28.01.2020

AI can help cancer patients start their radiation therapy sooner by instantly translating complex clinical data into an optimal plan of attack. Patients typically must wait several days to a week to begin therapy while doctors manually develop treatment plans. But new research shows how enhanced deep-learning models streamlined this process down to a fraction of a second.
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IT: technique reveals whether models of patient risk are accurate

27.01.2020

After an affected person has a coronary heart assault or stroke, docs usually use danger fashions to assist information their therapy. These fashions can calculate a affected person’s danger of dying primarily based on elements such because the affected person’s age, signs, and different traits.
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Prostate cancer can now be diagnosed better using AI

16.01.2020

Researchers at Radboud university medical center have developed a 'deep learning' system that is better than most pathologists at determining the aggressiveness of prostate cancer. The AI system, which uses tissue samples to arrive at its diagnosis, taught itself to identify prostate cancer based on data from over 1200 patients.
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Image: new 3D technology capturing structural and energetic features of the interface of a protein docking model; Copyright: Daisuke Kihara/Purdue University

Deep learning and 3D technology to create better drugs

10.01.2020

Proteins are often called the working molecules of the human body. A typical body has more than 20,000 different types of proteins, each of which are involved in many functions essential to human life.
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Artificial Intelligence tracks down leukemia

09.01.2020

Artificial intelligence can detect one of the most common forms of blood cancer – acute myeloid leukemia (AML) – with high reliability. Researchers at the German Center for Neurodegenerative Diseases (DZNE) and the University of Bonn have now shown this in a proof-of-concept study. Their approach is based on the analysis of the gene activity of cells found in the blood.
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Smart algorithm finds possible treatment for childhood cancer

09.01.2020

Using a computer algorithm, scientists at Uppsala University have identified a promising new treatment for neuroblastoma. This form of cancer in children, which occurs in specialised nerve cells in the sympathetic nervous system, may be life-threatening.
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AI: this lemon could help create better drugs

06.01.2020

One of the challenges in using machine learning for drug development is to create a process for the computer to extract needed information from a pool of data points. Drug scientists must pull biological data and train the software to understand how a typical human body will interact with the combinations that come together to form a medication.
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