Machine Learning News and Research

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Realizing the Importance of Medical Electronic Devices

News Medical speaks to Brian Anthony, co-director of MIT’s Medical Electronic Device Realization Center, about the effect machine learning and sensor technologies have had on medical device engineering, as well as the Bioprocess Data Analytics and Machine Learning course he co-leads at MIT.

From Massachusetts Institute of Technology (MIT) 20 Mar 2023

Machine learning applications for the diagnosis, treatment and prognosis of cancer

Researchers review the application of machine learning in improving cancer diagnosis, treatment, and prognosis.

19 Mar 2023

When mass spectrometry redefines molecular biology and biochemistry – the future of spatial omics

In this interview, Bruker speaks with Ramon Sun on the topic of SpatialOMx - a field that is currently experiencing great changes. Dive in to discover how Bruker will rise to the challenge.

From Bruker Daltonics 17 Mar 2023

Multivariate brain-wide associated studies can be replicable with substantially smaller sample sizes

Since the development of functional magnetic resonance imaging in the 1990s, the reliance on neuroimaging has skyrocketed as researchers investigate how fMRI data from the brain at rest, and anatomical brain structure itself, can be used to predict individual traits, such as depression, cognitive decline, and brain disorders.

16 Mar 2023

Forecasting adverse effects and prognosis in TB patients using AI

A recent study applied AI to forecast the prognosis and adverse effects of TB.

16 Mar 2023

Components of the gut microbiome could be used to better predict efficacy of CAR-T cell therapy

Even though, according to recent preliminary studies, the risk of dying from cancer has declined within the European Union in recent years, cancers remain among the leading causes of death.

13 Mar 2023

Using convolutional neural network to automate the identification of chromatid cohesion defects

Scientists from Tokyo Metropolitan University have used machine learning to automate the identification of defects in sister chromatid cohesion.

13 Mar 2023

Using tissue-embedded nanoelectronic devices to monitor the functional maturation of cardiomyocytes

Research in animal models has demonstrated that stem-cell derived heart tissues have promising potential for therapeutic applications to treat cardiac disease. But before such therapies are viable and safe for use in humans, scientists must first precisely understand on the cellular and molecular levels which factors are necessary for implanted stem-cell derived heart cells to properly grow and integrate in three dimensions within surrounding tissue.

8 Mar 2023

$Male geriatric patients at greater risk of skull fractures from falls than females$

Male geriatric patients at greater risk of skull fractures from falls than females

Each year, more than 3 million people ages 65 and older are treated in emergency departments for fall injuries. Head trauma is the leading cause of serious injury with skull fractures being reported as a serious outcome.

8 Mar 2023

Prevalence of dementia in India may be higher than previous estimates, study reveals

Dementia in India may be higher than previous estimates have suggested and could be more in line with prevalence rates for countries such as the United States and the United Kingdom, according to a new collaborative study by researchers from the University of Surrey, University of Southern California, University of Michigan, and All India Institute of Medical Sciences.

8 Mar 2023

Wrist-worn device can accurately predict troponin-I and obstructed arteries in five minutes

An experimental wrist-worn device was found to predict troponin-I and obstructed arteries with 90% accuracy in five minutes, according to research being presented at the American College of Cardiology's Annual Scientific Session Together With the World Congress of Cardiology.

6 Mar 2023

Automated reminders improve guideline-based statin prescribing practices

Patients with cardiovascular disease, such as heart disease, stroke or peripheral arterial disease, were significantly more likely to be prescribed guideline-recommended high-intensity statin therapy if their clinician was sent an automated reminder with information about their cardiovascular disease history, prior statin use and history of statin associated side effects, according to research being presented at the American College of Cardiology's Annual Scientific Session Together With the World Congress of Cardiology.

5 Mar 2023

Innovative method to spot bacteria in blood, wastewater, and more

Shine a laser on a drop of blood, mucus, or wastewater, and the light reflecting back can be used to positively identify bacteria in the sample.

3 Mar 2023

Deep learning–based method can accurately detect Alzheimer’s disease based on data from brain MRIs

Although investigators have made strides in detecting signs of Alzheimer's disease using high-quality brain imaging tests collected as part of research studies, a team at Massachusetts General Hospital (MGH) recently developed an accurate method for detection that relies on routinely collected clinical brain images.

3 Mar 2023

AI diagnostic tool can predict the risk of flare-ups for ulcerative colitis

Ulcerative colitis assessment could be improved after new research shows that an artificial intelligence model could predict flare-ups and complications after reading biopsies.

3 Mar 2023

Study identifies renalase as a novel independent predictor of COVID-19-related mortality

Researchers assessed the role of renalase as an independent predictor of COVID-19-related mortality.

2 Mar 2023

Lack of studies limit the integration of artificial intelligence into the clinic

Researchers reviewed the translational success of artificial intelligence models in healthcare, especially those used in COVID-19 studies.

1 Mar 2023

Antiverse raises funding and demonstrates therapeutic antibody identification with AI-driven drug discovery platform

Antiverse Ltd (Antiverse), a biotechnology company developing a computational antibody drug discovery platform, today announced the successful identification of functional antibody clusters targeting two G-protein-coupled receptors (GPCRs), both displaying versatile binding profiles and nanomolar affinity.

From Antiverse 1 Mar 2023

The rapid diagnosis of drug-resistant and drug-sensitive tuberculosis using mass spectrometry and machine learning

In a recent study posted to the Preprints with The Lancet SSRN* server, a team of researchers in China developed a machine learning-based diagnostic tool to detect tuberculosis and drug-resistant tuberculosis using nanoparticle-enhanced laser desorption/ionization mass spectrometry (NPELDI MS) to determine metabolic fingerprints from serum samples.

28 Feb 2023

Mass spectrometry-based identification of COVID-19 biomarkers

In a recent study published in the journal Metabolites, researchers reported that mass spectrometry (MS)-based metabolomic approaches have a high potential for biomarker discovery.

28 Feb 2023

Machine Learning News and Research

Realizing the Importance of Medical Electronic Devices

Machine learning applications for the diagnosis, treatment and prognosis of cancer

When mass spectrometry redefines molecular biology and biochemistry – the future of spatial omics

Multivariate brain-wide associated studies can be replicable with substantially smaller sample sizes

Forecasting adverse effects and prognosis in TB patients using AI

Components of the gut microbiome could be used to better predict efficacy of CAR-T cell therapy

Using convolutional neural network to automate the identification of chromatid cohesion defects

Using tissue-embedded nanoelectronic devices to monitor the functional maturation of cardiomyocytes

Male geriatric patients at greater risk of skull fractures from falls than females

Prevalence of dementia in India may be higher than previous estimates, study reveals

Wrist-worn device can accurately predict troponin-I and obstructed arteries in five minutes

Automated reminders improve guideline-based statin prescribing practices

Innovative method to spot bacteria in blood, wastewater, and more

Deep learning–based method can accurately detect Alzheimer’s disease based on data from brain MRIs

AI diagnostic tool can predict the risk of flare-ups for ulcerative colitis

Study identifies renalase as a novel independent predictor of COVID-19-related mortality

Lack of studies limit the integration of artificial intelligence into the clinic

Antiverse raises funding and demonstrates therapeutic antibody identification with AI-driven drug discovery platform

The rapid diagnosis of drug-resistant and drug-sensitive tuberculosis using mass spectrometry and machine learning

Mass spectrometry-based identification of COVID-19 biomarkers

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