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AI may lead to more objective ADHD diagnosis

Using artificial intelligence (AI) to analyze specialized brain MRI scans of adolescents with and without attention-deficit/hyperactivity disorder (ADHD), researchers found significant differences in nine brain white matter tracts in individuals with ADHD.

29 Nov 2023

AI model accurately predicts breast cancer risk across multiple races

A deep learning artificial intelligence (AI) model that was developed using only mammogram image biomarkers accurately predicted both ductal carcinoma in situ (DCIS) and invasive carcinoma, according to research being presented today at the annual meeting of the Radiological Society of North America.

29 Nov 2023

Wayne State professor wins $2.65 million NIH award to develop novel filtration platform for insulin administration

A Wayne State University College of Engineering professor has received a $2.65 million award from the National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health to develop a novel filtration platform to improve an advanced drug delivery device to optimize diabetes insulin treatments.

28 Nov 2023

Machine learning program provides more accurate understanding of peptide sequences in cells

Machine learning is now helping researchers analyze the makeup of unfamiliar cells, which could lead to more personalized medicine in the treatment of cancer and other serious diseases.

28 Nov 2023

Researchers develop faster, cheaper, and more precise method for identifying bacteria

Researchers have developed a method that identifies bacteria easily, cheaply and more precisely than before.

28 Nov 2023

Unveiling a new cardiac myosin inhibitor through AI-driven virtual screening

Discovery of a novel cardiac-specific myosin modulator.

28 Nov 2023

Exonate announces successful completion of Phase Ib/IIa trial in diabetic macular oedema

Lead ophthalmology candidate EXN407 has potential to be the first topical treatment for diabetic retinopathy/diabetic macular oedema.

28 Nov 2023

BioEcho Life Sciences enters the US diagnostic market with an FDA-listed product

The EchoLUTION Viral RNA/DNA Kit is now available for the US diagnosis market to extract nucleic acids from viral particles with a single-step centrifugation technology, reducing processing time for in vitro diagnostic analysis.

From BioEcho Life Sciences GmbH 28 Nov 2023

Innovative app-based games boost exercise performance for vestibular hypofunction patients

The impact of a gaming app on exercise performance.

28 Nov 2023

Microneedle bandage offers new hope for diabetic wound treatment

Researchers developed a microneedle (MN) bandage containing selenium (Se) and chlorin e6 (Ce6) hybrid nanoparticles (SeC@PA) for diabetic wound therapy.

28 Nov 2023

Researchers develop state-of-the-art UV protective contact lenses

The global rise in ocular diseases, largely due to insufficient ophthalmic diagnostics and monitoring, has emphasized the need for better treatment methods. Pioneering developments in therapeutic and diagnostic contact lenses are now offering hope in treating these diseases.

27 Nov 2023

New AI tool could revolutionize asthma monitoring for children

Adults and older children with asthma can take objective measures of symptoms such as peak expiratory flow (PEF), the volume of airflow in one forced exhalation, at home.

27 Nov 2023

Machine learning unlocks secrets of antimicrobial resistance, identifying over 900 key genes

Researchers employed advanced techniques like gene annotation, pangenomics, and machine learning to identify over 900 genes responsible for antimicrobial resistance in 12 bacterial species, outperforming traditional identification methods. This breakthrough approach offers new insights into the genetic basis of resistance, potentially guiding the development of more effective antibiotics

27 Nov 2023

A new framework for evaluating AI in health care: Moving beyond tool performance

Health care organizations are looking to artificial intelligence (AI) tools to improve patient care, but their translation into clinical settings has been inconsistent, in part because evaluating AI in health care remains challenging.

27 Nov 2023

Novel method can detect contaminants in T-cell cultures within 24 hours

Researchers from Critical Analytics for Manufacturing Personalized-Medicine (CAMP) Interdisciplinary Research Group (IRG) at Singapore-MIT Alliance for Research and Technology (SMART), MIT's research enterprise in Singapore, in collaboration with Singapore Centre for Environmental Life Sciences Engineering (SCELSE) and Massachusetts Institute of Technology (MIT), have developed a novel method capable of identifying contaminants in T-cell cultures within 24 hours.

27 Nov 2023

Ultra-high resolution MRI scanner offers new opportunities for brain research

An intense international effort to improve the resolution of magnetic resonance imaging (MRI) for studying the human brain has culminated in an ultra-high resolution 7 Tesla scanner that records up to 10 times more detail than current 7T scanners and over 50 times more detail than current 3T scanners, the mainstay of most hospitals.

27 Nov 2023

Mass General Brigham partners with Annalise.ai to develop AI-enabled diagnostic products

Mass General Brigham and Annalise.ai today announced a collaboration to bring together their complementary expertise, capabilities and technology to build and implement AI-enabled diagnostic products.

27 Nov 2023

New artificial intelligence algorithms facilitate diagnosis of difficult cancers

New artificial intelligence algorithms are developed to facilitate the diagnosis and treatment of cancerous tumors that are difficult to interpret clinically.

27 Nov 2023

New machine learning model predicts cardiac arrest in ICU patients using ECG data with high accuracy

Electrocardiogram (ECG) data from a large retrospective cohort to extract various heart rate variability (HRV) measures.

27 Nov 2023

Ingenza and Phibro Ethanol accelerate the green fuel transition

Ingenza and Phibro Ethanol – a division of Phibro Animal Health Corporation – have joined forces to engineer a novel yeast strain that will increase yield in the commercial production of bioethanol under both challenging and conventional environmental conditions, further driving the switch to clean biofuels.

From Ingenza Ltd 24 Nov 2023

Device / Technology News

AI may lead to more objective ADHD diagnosis

AI model accurately predicts breast cancer risk across multiple races

Wayne State professor wins $2.65 million NIH award to develop novel filtration platform for insulin administration

Machine learning program provides more accurate understanding of peptide sequences in cells

Researchers develop faster, cheaper, and more precise method for identifying bacteria

Unveiling a new cardiac myosin inhibitor through AI-driven virtual screening

Exonate announces successful completion of Phase Ib/IIa trial in diabetic macular oedema

BioEcho Life Sciences enters the US diagnostic market with an FDA-listed product

Innovative app-based games boost exercise performance for vestibular hypofunction patients

Microneedle bandage offers new hope for diabetic wound treatment

Researchers develop state-of-the-art UV protective contact lenses

New AI tool could revolutionize asthma monitoring for children

Machine learning unlocks secrets of antimicrobial resistance, identifying over 900 key genes

A new framework for evaluating AI in health care: Moving beyond tool performance

Novel method can detect contaminants in T-cell cultures within 24 hours

Ultra-high resolution MRI scanner offers new opportunities for brain research

Mass General Brigham partners with Annalise.ai to develop AI-enabled diagnostic products

New artificial intelligence algorithms facilitate diagnosis of difficult cancers

New machine learning model predicts cardiac arrest in ICU patients using ECG data with high accuracy

Ingenza and Phibro Ethanol accelerate the green fuel transition

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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