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Is your seafood safe? New study reveals alarming levels of toxins in Pacific Ocean marine life

A research paper published in the journal Science of the Total Environment explores how increasing levels of residual toxins in aquatic animals in the Pacific Ocean pose serious risks to food safety, human health, and food security. The paper outlines various types of toxins, their origins, and their impact on marine life and human health, highlighting the urgency for effective interventions.

26 Sep 2023

Three new projects launched to map neuronal connections in the mouse and macaque brains

A complete map of all the connections in an entire mammalian brain may be in sight. Allen Institute researchers have just launched three new projects to construct large, detailed maps of neuronal connections in sections of the mouse and macaque brains, with an eye toward creating full wiring diagrams of these animals' brains in the future.

26 Sep 2023

New method for multiancestry polygenic prediction holds promise for reducing health care disparities

A team led by researchers at Johns Hopkins Bloomberg School of Public Health and the National Cancer Institute has developed a new algorithm for genetic risk-scoring for major diseases across diverse ancestry populations that holds promise for reducing health care disparities.

25 Sep 2023

New AI model improves accuracy of tumor removal in breast cancer surgery

Artificial intelligence (AI) and machine learning tools have received a lot of attention recently, with the majority of discussions focusing on proper use.

25 Sep 2023

AI model accurately forecasts patient outcomes for common lung cancer after surgery

Researchers develop an AI model to accurately predict prognosis for patients with non-small cell lung cancer after surgery. The model, which utilized a range of preoperative and postoperative blood test results, achieved high prediction accuracy, offering a promising approach for personalized treatment plans.

25 Sep 2023

Research presents new approach to identify therapeutic targets for human diseases associated with protein phase separation

Recent research demonstrates that protein phase separation (PPS) is widely present in cells and drives a variety of important biological functions.

25 Sep 2023

Killer T cells in older adults resemble those found in newborns, but fall short in virus detection

A world-first discovery has revealed special immune cells called 'killer T cells' in older adults, directed against influenza viruses, closely resemble those found in newborns and children, but struggle to recognize infected cells – a finding that unlocks the potential for the development of better vaccines and therapies tailored to different age groups.

25 Sep 2023

Machine learning speeds up virtual drug screening by 10-fold

Boosting virtual screening with machine learning allowed for a 10-fold time reduction in the processing of 1.56 billion drug-like molecules. Researchers from the University of Eastern Finland teamed up with industry and supercomputers to carry out one of the world's largest virtual drug screens.

22 Sep 2023

AlphaMissense revolutionizes genetic mutation analysis for disease prediction

AlphaMissense, an adaptation of AlphaFold, offers a highly accurate model for predicting the pathogenicity of human proteome-wide missense variants at the single amino acid level. The model outperforms existing methods, providing valuable insights for diagnosing rare diseases and developing targeted therapies.

20 Sep 2023

$AI-based model can predict risk of dying in the years following a hip fracture$

AI-based model can predict risk of dying in the years following a hip fracture

A new study published in the Journal of Orthopaedic Research indicates that an artificial intelligence–based model trained on basic blood and lab test data as well as basic demographic data can predict a patient's risk of death within 1-, 5-, and 10-years of experiencing a hip fracture.

20 Sep 2023

New technique generates training data for care robots

A research team led by Assistant Professor Mizuki Takeda from the Department of Mechanical Engineering, Toyohashi University of Technology, has developed a technique to generate training data for robots that operate based on estimations of the user's state using machine learning.

20 Sep 2023

LabGenius & Sanofi partnership yields positive results from AI antibody discovery platform

Today, LabGenius, a pioneer in the use of AI and machine learning for antibody discovery, releases new data from its antibody discovery platform following a multi-year collaboration with Sanofi.

From LabGenius 19 Sep 2023

Early autism diagnosis breakthrough: machine learning uses eye movements on real and artificial faces

An innovative autism spectrum disorder (ASD) detection technique for children by examining eye movement.

19 Sep 2023

MGI introduces new chapter in smart laboratory management with official opening of αLab in HKSTP

MGI, a company committed to building core tools and technology to lead life science, today announced the official opening of αLab in the Hong Kong Science & Technology Parks ("HKSTP"), the city's largest R&D base and one of the most important incubators.

From MGI 18 Sep 2023

AI in clinical practice: positive outcomes dominate but questions linger, study finds

The clinical relevance of AI.

18 Sep 2023

Using sea slug brains to map human brain development

A University of Massachusetts Amherst neuroscientist has been awarded a $3.1 million grant from the National Institute of Neurological Disease and Stroke to advance knowledge on human brain development by using an unusual subject: the brain of the sea slug.

15 Sep 2023

Study finds no evidence that YouTube promoted anti-vaccine sentiment during the pandemic

New research led by data science experts at the University of Illinois Urbana-Champaign and United Nations Global Pulse found that there is no strong evidence that YouTube promoted anti-vaccine sentiment during the COVID-19 pandemic.

15 Sep 2023

BU researchers receive NIH grant to identify genetic factors for Alzheimer's disease

The National Institutes of Health/National Institute on Aging recently awarded a $13.7 million grant to a project led by Boston University Chobanian & Avedisian School of Medicine principal investigators Lindsay Farrer, PhD, chief of biomedical genetics and distinguished professor of genetics, and Richard Sherva, PhD, assistant professor of medicine in biomedical genetics, for research using whole genome sequencing and other approaches to identify genetic factors for Alzheimer disease (AD) in Jews currently living in Israel who trace their ancestors to southern Spain and locations in the Middle East and North Africa (MENA) and Arab citizens of Israel.

15 Sep 2023

Utilizing deep learning to enhance the accuracy of mortality forecasts in emergency rooms

Researchers enhanced the accuracy of mortality predictions in emergency departments by employing advanced data-synthesis techniques and machine-learning models.

14 Sep 2023

Researchers develop a ground-breaking method to predict survival after severe brain injury

Two graduate students from Western University have developed a ground-breaking method for predicting which intensive care unit (ICU) patients will survive a severe brain injury.

13 Sep 2023

Machine Learning News and Research

Is your seafood safe? New study reveals alarming levels of toxins in Pacific Ocean marine life

Three new projects launched to map neuronal connections in the mouse and macaque brains

New method for multiancestry polygenic prediction holds promise for reducing health care disparities

New AI model improves accuracy of tumor removal in breast cancer surgery

AI model accurately forecasts patient outcomes for common lung cancer after surgery

Research presents new approach to identify therapeutic targets for human diseases associated with protein phase separation

Killer T cells in older adults resemble those found in newborns, but fall short in virus detection

Machine learning speeds up virtual drug screening by 10-fold

AlphaMissense revolutionizes genetic mutation analysis for disease prediction

AI-based model can predict risk of dying in the years following a hip fracture

New technique generates training data for care robots

LabGenius & Sanofi partnership yields positive results from AI antibody discovery platform

Early autism diagnosis breakthrough: machine learning uses eye movements on real and artificial faces

MGI introduces new chapter in smart laboratory management with official opening of αLab in HKSTP

AI in clinical practice: positive outcomes dominate but questions linger, study finds

Using sea slug brains to map human brain development

Study finds no evidence that YouTube promoted anti-vaccine sentiment during the pandemic

BU researchers receive NIH grant to identify genetic factors for Alzheimer's disease

Utilizing deep learning to enhance the accuracy of mortality forecasts in emergency rooms

Researchers develop a ground-breaking method to predict survival after severe brain injury

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