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Image: Enhanced images; Copyright: POSTECH

AI helps to correct distortions in in vivo photoacoustic images of humans

26/11/2021

Obtaining an accurate speed of sound (SoS) inside the body leads to improved resolution of ultrasound or photoacoustic (PA) images. However, it is difficult to accurately predict the SoS since it differs from person to person, depending on the random distribution of muscle, bone, and fat in each individual.
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Image: UV-C disinfection robot; Copyright: USZ

USZ deploys new UV-C disinfection robot

26/11/2021

To further increase patient safety, an ultraviolet C disinfection robot has recently been deployed at the University Hospital Zurich (USZ). It is the first of its kind in a Swiss hospital and cleans patient rooms with UV-C rays that kill pathogens.
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Image: Dr. Jens Bankstahl and Professor Dr. Tobias Ross; Copyright: Karin Kaiser / MHH

Better images for science

25/11/2021

In order to detect and research diseases, it is important to look inside the body. For this purpose, there are various imaging methods – from ultrasound examinations to X-rays and computer tomography. Molecular imaging provides a particularly precise insight, showing biological processes and organ functions "live".
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Image:  Male hands with white smartwatch with health app; Copyright:  PantherMedia  / prykhodov

Common wearable fitness tracker helps clinicians assess at-home recovery after kids' surgery

25/11/2021

A recent study from Ann & Robert H. Lurie Children's Hospital of Chicago found that using a consumer-grade wearable device to track a child's heart rate and physical activity after surgery could help clinicians decide if at-home recovery is going as expected or if an emergency department (ED) visit is needed to address possible complications.
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Image: Biopsy-free virtual histology of skin; Copyright: Aydogan Ozcan, PhD

New imaging technology may reduce need for skin biopsies

24/11/2021

Instead of surgically removing a sample of skin, sending it to a lab and waiting several days for results, your dermatologist takes pictures of a suspicious-looking lesion and quickly produces a detailed, microscopic image of the skin.
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Image: Images of bone marrow cells; Copyright: Helmholtz Munich / Carsten Marr

Fighting blood diseases with artificial intelligence

24/11/2021

How can we better diagnose blood diseases? A research group aims to answer this question with artificial intelligence (AI). Their goal is to facilitate the time-consuming analysis of bone marrow cells under the microscope. The researchers developed the largest open-source database on microscopic images of bone marrow cells to date.
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Image: The CORE app; Copyright: GGtude

Serious mental illness? There's an app for that

23/11/2021

People with a serious mental illness often have dysfunctional beliefs that spiral them downward. They feel stigmatized. They may believe people are out to get them. They might think they will never get better. Wanting to address these dysfunctional beliefs, researchers created a smartphone app with daily game-like exercises to help people with a serious mental illness reassess their beliefs.
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Image: Fluorescence images of living neuron co-expressing a fluorescent protein  and click-labeled auxiliary protein TARP; Copyright: Choquet group and Beliu group

New method makes masked proteins in nerve cells visible

23/11/2021

An international team of scientists developed a new method and visualized specific receptor proteins in nerve cells that are important for learning. The results were published in the renowned journal Nature Communications.
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Image: Biomechanical gait analysis; Copyright: Florian Kibler, St. Pölten University of Applied Sciences

Gutenberg Gait Database published

22/11/2021

Gait disorders manifest themselves in various ways: One walks with small tripping steps, another drags a leg while walking. In one case, a foot does not roll over the sole of the foot, and in another, a foot is not lifted sufficiently but is rather dragged across the floor.
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Image: Harrison shows Sundermann a potential infectious disease outbreak; Copyright: Nathan Langer/UPMC

AI and genomic surveillance combine to detect health care infectious disease outbreaks

22/11/2021

By coupling machine learning with whole genome sequencing, University of Pittsburgh School of Medicine and Carnegie Mellon University scientists greatly improved the quick detection of infectious disease outbreaks within a hospital setting over traditional methods for tracking outbreaks.
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