MEDICA Trade Fair - International Trade Fair with forums and conferences for medical technology, medical imaging, health-IT, laboratory equipment, diagnostics and drugs. Düsseldorf.

Image: A man in a white shirt is having a heart attack; Copyright: Rawpixel

Rawpixel

Bracelet sensor assesses troponin levels to aid heart attack diagnosis

13/03/2023

An experimental wrist-worn device was found to predict troponin-I and obstructed arteries with 90% accuracy in five minutes, according to research.
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Image: Logo of the EU project miGut-Health, black, violet and green colors on a white background; Copyright: Eurice Office

Eurice Office

Personalised health blueprint to prevent and predict inflammatory bowel disease

07/03/2023

Project led by PMI member Prof. Andre Franke aims to empower people affected by Crohn’s disease and ulcerative colitis by developing interdisciplinary solutions for improved disease prevention and health promotion.
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Image: A man lies in a bed in front of the laptop and holds a pill case in his hand; Copyright: Iakobchuk

Iakobchuk

AI can help patients interpret home tests for COVID-19

03/02/2023

George Mason University researchers found that computerized symptom screenings can supplement at-home COVID-19 tests to better confirm the diagnosis for patients and clinicians.
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Image: Prof. Dr. Aldo Faisal smiles at the camera in an institute building; Copyright: privat.

private

Smart clothing and Artificial Intelligence: Diagnosis and monitoring of neurological diseases

01/02/2023

International research groups led by Prof. Dr. Aldo Faisal, Professor of Digital Health at the University of Bayreuth, have developed a novel set of tools for diagnosing and monitoring neurological diseases based on body-worn sensors (wearables) and artificial intelligence.
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Image: Kid in wheelchair is happy with father on the beach, Excited to see the sea on a vacation; Copyright: gaysorn1442

gaysorn1442

Wearable tech, AI, clinical teams combine to change face of clinical trial monitoring

30/01/2023

A multi-disciplinary team of researchers has developed a way to monitor the progression of movement disorders using motion capture technology and AI.
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