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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

New ingestible sensor for non-intrusive sleep disorder monitoring developed by MIT and collaborators

A recent Device study reported the effectiveness of an ingestible vitals-monitoring pill (VM pill) to monitor vital signs, including heart and respiratory rate based on a human trial.

24 Nov 2023

New AI approach captures the tempo and stages of embryonic development

Animal embryos go through a series of characteristic developmental stages on their journey from a fertilized egg cell to a functional organism.

23 Nov 2023

Balancing health and economy: A new model to assess pandemic response strategies

In order to minimize the impact of a pandemic on the economy, which would be more effective: a lockdown or letting individuals spontaneously reduce their risk of infection?

23 Nov 2023

A review of automated clinical depression diagnosis tools

A review on how the latest computational methods that utilize facial, acoustic, and semantic features are being deployed to predict major depressive disorders.

23 Nov 2023

Integra Launches Sterile Polypropylene Reagent Reservoirs With Sureflo™ Technology

INTEGRA Biosciences has extended its reagent reservoir portfolio to include 10 and 25 ml sterile polypropylene reservoirs with SureFlo™ anti-sealing technology.

From INTEGRA Biosciences 23 Nov 2023

Breakthrough AI tool PANDA shows promise in early detection of pancreatic cancer using non-contrast CT

A deep learning-based approach to use non-contrast computed tomography (CT) scans for high-accuracy detection and classification of pancreatic lesions.

23 Nov 2023

Optimizing hospital patient safety: Machine learning model enhances early warning system performance

Researchers propose a novel predictive model based on machine learning for the early prediction of adverse events.

23 Nov 2023

Drones can save lives by delivering defibrillators in cardiac arrest cases

Researchers at Karolinska Institutet have evaluated the possibility of alerting drones equipped with automated external defibrillators (AED) to patients with suspected cardiac arrest.

22 Nov 2023

Novel AI-powered method detects antimicrobial resistance within 30 minutes

To mark World Antimicrobial Awareness Week, researchers supported by the Oxford Martin Programme on Antimicrobial Resistance Testing (University of Oxford) have reported advances towards a novel and rapid antimicrobial susceptibility test that can return results within as little as 30 minutes.

22 Nov 2023

Large Language Models pose threat to scientific accuracy, new study warns

Large Language Models (LLMs) pose a direct threat to science, because of so-called 'hallucinations' (untruthful responses), and should be restricted to protect scientific truth, says a new paper from leading Artificial Intelligence researchers at the Oxford Internet Institute.

22 Nov 2023

Digital Science acquires AI-powered academic writing service Writefull

Digital Science has today announced it has fully acquired the AI-based academic language service Writefull, which assists users worldwide with all aspects of their scholarly writing.

22 Nov 2023

AI model predicts lung cancer risk in never-smokers using routine chest X-rays

Using a routine chest X-ray image, an artificial intelligence (AI) tool can identify non-smokers who are at high risk for lung cancer, according to a study being presented next week at the annual meeting of the Radiological Society of North America (RSNA).

22 Nov 2023

Device / Technology News

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

New ingestible sensor for non-intrusive sleep disorder monitoring developed by MIT and collaborators

New AI approach captures the tempo and stages of embryonic development

Balancing health and economy: A new model to assess pandemic response strategies

A review of automated clinical depression diagnosis tools

Integra Launches Sterile Polypropylene Reagent Reservoirs With Sureflo™ Technology

Breakthrough AI tool PANDA shows promise in early detection of pancreatic cancer using non-contrast CT

Optimizing hospital patient safety: Machine learning model enhances early warning system performance

Drones can save lives by delivering defibrillators in cardiac arrest cases

Novel AI-powered method detects antimicrobial resistance within 30 minutes

Large Language Models pose threat to scientific accuracy, new study warns

Digital Science acquires AI-powered academic writing service Writefull

AI model predicts lung cancer risk in never-smokers using routine chest X-rays

Unveiling Hidden Potential: Organoids for Disease Modeling in Neuroscience Research

How GLP‑1 Agonists Are Shaping the Future of Obesity Treatment With Dr Bryony Henderson

Flow chemistry, AI, and NMR: A next-gen approach to scalable API production

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