Device / Technology News

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AI tool could capture subtle, early signs of pancreatic cancer in CT scans

An artificial intelligence (AI) tool developed by Cedars-Sinai investigators accurately predicted who would develop pancreatic cancer based on what their CT scan images looked like years prior to being diagnosed with the disease.

26 Apr 2022

Quantitative MRI can detect subtle differences in the brain structure of premature babies

Premature babies who develop abnormalities like autism and cerebral palsy as teenagers have subtle differences in brain structure that can be detected on quantitative MRI (qMRI), according to a new study in the journal Radiology.

26 Apr 2022

UNC study introduces a novel opportunity to democratize obstetric ultrasound

Establishing accurate gestational age with ultrasound early in pregnancy is essential to delivering high-quality care.

26 Apr 2022

Aston University unveils new £2.8 million MRI scanner

A new £2.8 million MRI scanner has been unveiled at Aston University. The showcase took place in Aston Institute of Health and Neurodevelopment on Monday 25 April.

26 Apr 2022

Low-cost wireless device could provide precise, safe treatment options for cancers

For those diagnosed with colorectal cancer, surgery has been the only option that offers a solution. Unfortunately, surgery is frequently complicated by disease recurrence at the site of the original cancer when microscopic cancer cells are left behind at the time of surgery.

26 Apr 2022

CN Bio introduces PhysioMimix NASH ‘in-a-box’ reagent kit

First product within new ‘in-a-box’ range, which harnesses next-generation, human-relevant Liver-on-a-Chip technology to improve the accuracy and efficiency of NASH drug discovery.

From CN Bio Innovations Ltd 26 Apr 2022

New eNutri app can help people to eat more healthily

People could benefit from fully automated personal nutritional advice, as a new research paper shows that an app improved healthy diet in clinical trials.

25 Apr 2022

Using AI to predict cancer from patient data without putting personal information at risk

A new way of using artificial intelligence to predict cancer from patient data without putting personal information at risk has been developed by a team including University of Leeds medical scientists.

25 Apr 2022

Detection of prior SARS-CoV-2 infection by T-cell receptor sequencing

A new study describes a novel COVID-19 detection technique based on T-cell receptor sequencing.

24 Apr 2022

Video radiology reports can be a valuable tool to help patients better understand imaging test results

Video radiology reports—created for individual patients using easy-to-understand language and clearly annotated images—can be valuable tools to help patients better understand test results, according to a new study published online April 20 in the American Journal of Roentgenology.

22 Apr 2022

Miniature replica of the heart could give a more accurate view of how the organ works

There's no safe way to get a close-up view of the human heart as it goes about its work: you can't just pop it out, take a look, then slot it back in.

22 Apr 2022

Rice educates future leaders in nano-enabled cancer applications

Nanotechnology is increasingly important to the development of treatments for cancer. But to succeed, clinicians need to understand it.

22 Apr 2022

Remote sighted assistance technology may benefit from human-AI collaboration

Remote sighted assistance (RSA) technology - which connects visually impaired individuals with human agents through a live video call on their smartphones - helps people with low or no vision navigate tasks that require sight.

22 Apr 2022

New tool delivers and electrically stimulates stem cells to promote stroke recovery

More than 10 million strokes occur worldwide every year, leaving at least half of patients with life-altering disabilities.

22 Apr 2022

$Aston University partners with Invibio to develop more advanced fracture fixation devices$

Aston University partners with Invibio to develop more advanced fracture fixation devices

Aston University has partnered with Invibio Biomaterial Solutions through a knowledge transfer partnership (KTP) to deliver the data and knowledge required to develop more advanced fracture fixation devices used in orthopedic trauma procedures, using the company's patented composite material.

22 Apr 2022

Device / Technology News

AI tool could capture subtle, early signs of pancreatic cancer in CT scans

Quantitative MRI can detect subtle differences in the brain structure of premature babies

UNC study introduces a novel opportunity to democratize obstetric ultrasound

Aston University unveils new £2.8 million MRI scanner

Low-cost wireless device could provide precise, safe treatment options for cancers

CN Bio introduces PhysioMimix NASH ‘in-a-box’ reagent kit

New eNutri app can help people to eat more healthily

Using AI to predict cancer from patient data without putting personal information at risk

Detection of prior SARS-CoV-2 infection by T-cell receptor sequencing

Video radiology reports can be a valuable tool to help patients better understand imaging test results

Miniature replica of the heart could give a more accurate view of how the organ works

Rice educates future leaders in nano-enabled cancer applications

Remote sighted assistance technology may benefit from human-AI collaboration

New tool delivers and electrically stimulates stem cells to promote stroke recovery

Aston University partners with Invibio to develop more advanced fracture fixation devices

AI-based system improves bladder cancer treatment response assessment

Hybrid alphavirus-SARS-CoV-2 pseudovirus system rapidly measures neutralizing antibodies

New deep learning method aids in the accurate diagnosis of parkinsonian diseases

New photo-responsive nanomedicine for light-controlled colorectal cancer therapy

Revolutionary mRNA vaccine technology: History, facts and the future

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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