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Evaluating a machine learning tool for predicting hospital-acquired acute kidney injury

Hospital-acquired acute kidney injury (HA-AKI) is a common complication in hospitalized patients that can lead to chronic kidney disease and is associated with longer hospital stays, higher health care costs and increased mortality.

16 Feb 2024

New standards for evaluating aging biomarkers unveiled

A new paper led by Harvard researchers has zeroed in on biomarkers of aging using omic data from population-based studies.

16 Feb 2024

Study suggests CT imaging with automated AI system predicts EGFR genotype, identifying mutation status cost-effectively and non-invasively

Researchers developed an artificial intelligence (AI)-based predictive system (AIPS) model for the early detection of lung cancer by combining radiological, clinical, and genetic data.

16 Feb 2024

Gender variations in brain aging among Parkinson's Disease patients

How sex influences brain aging in PD by analyzing MRI-derived brain age differences.

16 Feb 2024

Impact of diet on health outcomes among United Kingdom Biobank participants

The association between diet and health outcomes among United Kingdom Biobank (UKBB) participants.

16 Feb 2024

Next-generation sequencing and machine learning used to map genetic landscape of pancreatic cancer

A new research paper was published in Oncotarget's Volume 15 on February 5, 2024, entitled, "Genetic and therapeutic landscapes in cohort of pancreatic adenocarcinomas: next-generation sequencing and machine learning for full tumor exome analysis."

15 Feb 2024

AI revolutionizes protein function prediction with "DeepGO-SE"

Researchers developed "DeepGO-SE," a novel AI method for predicting protein functions from sequences, significantly outperforming traditional models by incorporating gene ontology and protein-protein interactions.

15 Feb 2024

New epigenetic clocks distinguish aging causes and effects

What causes us to age? New "clocks" developed by researchers may help point to the answers. Investigators from Brigham and Women's Hospital, a founding member of the Mass General Brigham healthcare system, unveil a new form of epigenetic clock – a machine learning model designed to predict biological age from DNA structure.

14 Feb 2024

Groundbreaking model predicts heart attack risk months in advance

Study introduces a novel biomarker-based model to predict imminent myocardial infarction (IMI), identifying key proteins and metabolites that could revolutionize early detection and prevention strategies.

14 Feb 2024

Study attributes West Nile virus expansion in Europe to climate change

West Nile virus is an emerging pathogen in Europe and represents a public health threat in previously non-affected European countries. Occurring in a cycle involving transmission between bird and mosquito species, this virus can be transmitted to humans by mosquitoes and induce West Nile fever.

14 Feb 2024

Insights into how AI and wearable technologies are impacting the future of healthcare

Imagine a world in which the digital watch on your wrist tracks not only your step count, but also your blood sugar, heart rate, blood pressure and respiration.

14 Feb 2024

Phosphoproteomic profiling reveals the complex interplay of immune cells in tumors

Researchers from the Icahn School of Medicine at Mount Sinai, in collaboration with the Clinical Proteomic Tumor Analysis Consortium of the National Institutes of Health, The University of Texas MD Anderson Cancer Center, Sylvester Comprehensive Cancer Center at the University of Miami Miller School of Medicine, and others, have unveiled a detailed understanding of immune responses in cancer, marking a significant development in the field.

14 Feb 2024

New machine learning model uses MRI scans to predict psychosis onset

sMRI to develop a machine learning classifier and distinguish neuroanatomical patterns.

14 Feb 2024

New AI tool revolutionizes protein function prediction

A new artificial intelligence (AI) tool that draws logical inferences about the function of unknown proteins promises to help scientists unravel the inner workings of the cell.

14 Feb 2024

Machine-learning tool predicts onset of psychosis using MRI brain scans

The onset of psychosis can be predicted before it occurs, using a machine-learning tool which can classify MRI brain scans into those who are healthy and those at risk of a psychotic episode.

13 Feb 2024

Machine learning decodes data variations in metabolomics

A new study shows that it is possible to use machine learning and statistics to address a problem that has long hindered the field of metabolomics: large variations in the data collected at different sites.

12 Feb 2024

Mount Sinai receives $4.1 million to develop AI-powered model for predicting sleep apnea outcomes

Mount Sinai researchers have been awarded a five-year, $4.1 million grant from the National Heart, Lung, and Blood Institute at the National Institutes of Health to develop and study an artificial intelligence (AI)-powered model that predicts adverse outcomes of obstructive sleep apnea.

12 Feb 2024