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Machine learning used to generate a new holistic model for coronary artery disease

A recent study published in the Lancet journal investigated whether a quantitative in-silico score for coronary artery disease (ISCAD), based on a machine learning model, can be used as a clinical marker to detect coronary artery disease.

21 Dec 2022

Young people lack trust in the smartphone apps for receiving mental health support

Young people may not be receiving the mental health support they need because of a lack of trust in the smartphone apps that deliver such services, a study suggests.

21 Dec 2022

Temperature sensitive, shear-thinning hydrogel hemostat works rapidly to stop bleeding from wounds

As outlined in their recent publication in Biomaterials Science, researchers from the Terasaki Institute for Biomedical Innovation, (TIBI), have developed an injectable, temperature sensitive, shear-thinning hydrogel (T-STH) hemostat that works rapidly at body temperature to stop bleeding from a wound.

21 Dec 2022

Using an AI tool for early identification of Alzheimer's and related dementias in primary care

Rising to meet the formidable challenge of the timely diagnosis of dementia, research scientists from Regenstrief Institute, IUPUI and the medical schools of Indiana University and University of Miami are conducting the Digital Detection of Dementia study, a real-world evaluation of the use of an artificial intelligence (AI) tool they developed for early identification of Alzheimer's disease and related dementias in primary care, the setting where most adults receive healthcare.

21 Dec 2022

Mount Sinai researchers construct a computer-derived marker for coronary artery disease

Using machine learning and clinical data from electronic health records, researchers at the Icahn School of Medicine at Mount Sinai in New York constructed an in silico, or computer-derived, marker for coronary artery disease (CAD) to better measure clinically important characterizations of the disease.

21 Dec 2022

New robotic bronchoscopy may be safer and more effective way to perform lung nodule biopsies

Lung nodule biopsies performed with new robotic bronchoscopy technology may be safer and more effective than those done by traditional methods, a study by researchers at UT Southwestern suggests.

20 Dec 2022

Virtual reality games, eye tracking and machine learning can be used to detect ADHD

Researchers have used virtual reality games, eye tracking and machine learning to show that differences in eye movements can be used to detect ADHD, potentially providing a tool for more precise diagnosis of attention deficits.

20 Dec 2022

Digital interventions can help relieve depressive symptoms

With a shortage of therapists, help with mental health problems is being sought from digital interventions, where elements of psychological treatment are offered via computer programs or mobile applications.

20 Dec 2022

Non-invasive artificial intelligence approach for IVF embryo selection

An artificial intelligence algorithm can determine non-invasively, with about 70 percent accuracy, if an in vitro fertilized embryo has a normal or abnormal number of chromosomes, according to a new study from researchers at Weill Cornell Medicine.

20 Dec 2022

User-friendly complete system for more targeted, effective thermal ablation of tumors

Image-guided thermal ablation therapy is a patient-friendly, minimally invasive, and cost-effective tumor treatment method.

19 Dec 2022

Mental health chatbots can effectively engage people with depression, study shows

Clinician scientists from Nanyang Technological University, Singapore (NTU Singapore) have found that mental health chatbots are able to effectively engage people with depression in empathetic conversations and assist in the treatment of their symptoms.

19 Dec 2022

Novel device could help medical professionals to save lives in field hospitals

3D holograms from your phone, television, or favourite droid have been promised for decades but despite being of great interest, have yet to materialize.

19 Dec 2022

AI-based image analysis software for diagnosis of hip dysplasia can save time, costs

The deployment of an artificial intelligence (AI) based image analysis software for the diagnosis of hip dysplasia can save time and costs without compromising the reliability of the diagnosis.

18 Dec 2022

New electronic patch can monitor biomolecules in deep tissues

A team of engineers at the University of California San Diego has developed an electronic patch that can monitor biomolecules in deep tissues, including hemoglobin.

16 Dec 2022

Rapid, non-invasive detection tool could help accelerate progress in eliminating malaria

A quick, affordable, non-invasive detection tool could help accelerate progress in meeting the UN Sustainable Development Goals' target to eliminate malaria, say researchers who developed it.

16 Dec 2022

High-speed 5G network effective in providing telerehabilitation and teletreatment in remote community

Japan's population is rapidly aging. As a result, new challenges have emerged as an increased number of elderly people, many of whom live in isolated parts of the country, need medical and nursing care despite inadequate medical resources.

16 Dec 2022

AI-based neural network can detect early knee osteoarthritis from x-ray images

Researchers from the University of Jyväskylä and the Central Finland Health Care District have developed an AI based neural network to detect an early knee osteoarthritis from x-ray images.

16 Dec 2022

Imaging method yields highly accurate and precise values of radionuclide organ uptake

Patients with cancer that has spread to the bone are sometimes treated with alpha particle radiation therapy that is delivered into or very close to the tumor.

16 Dec 2022

New system based on AI enables mass detection of Covid cases with a sensitivity of 97%

Washing your hands with hydroalcoholic gel, smelling it and using a QR code to answer a short questionnaire.

15 Dec 2022

New immunosensor could be a fast, inexpensive, and convenient tool to detect COVID-19

A new immunosensor based on Quenchbody technology shows great potential as a fast, inexpensive, and convenient tool to detect SARS-CoV-2.

15 Dec 2022

Device / Technology News

Machine learning used to generate a new holistic model for coronary artery disease

Young people lack trust in the smartphone apps for receiving mental health support

Temperature sensitive, shear-thinning hydrogel hemostat works rapidly to stop bleeding from wounds

Using an AI tool for early identification of Alzheimer's and related dementias in primary care

Mount Sinai researchers construct a computer-derived marker for coronary artery disease

New robotic bronchoscopy may be safer and more effective way to perform lung nodule biopsies

Virtual reality games, eye tracking and machine learning can be used to detect ADHD

Digital interventions can help relieve depressive symptoms

Non-invasive artificial intelligence approach for IVF embryo selection

User-friendly complete system for more targeted, effective thermal ablation of tumors

Mental health chatbots can effectively engage people with depression, study shows

Novel device could help medical professionals to save lives in field hospitals

AI-based image analysis software for diagnosis of hip dysplasia can save time, costs

New electronic patch can monitor biomolecules in deep tissues

Rapid, non-invasive detection tool could help accelerate progress in eliminating malaria

High-speed 5G network effective in providing telerehabilitation and teletreatment in remote community

AI-based neural network can detect early knee osteoarthritis from x-ray images

Imaging method yields highly accurate and precise values of radionuclide organ uptake

New system based on AI enables mass detection of Covid cases with a sensitivity of 97%

New immunosensor could be a fast, inexpensive, and convenient tool to detect COVID-19

Redefining control and consistency in anaerobic microbiome workflows

AI in Healthcare: How generative tools are transforming clinical practice

The future of automation: Machine learning–driven hepatocyte and organoid counting

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