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Ability to recognize familiar faces depends on a neural code shared across brains

The ability to recognize familiar faces is fundamental to social interaction. This process provides visual information and activates social and personal knowledge about a person who is familiar.

2 Nov 2021

UMass Amherst and Brigham launch MassAITC to improve in-home care for Alzheimer's patients

The University of Massachusetts Amherst and Brigham and Women's Hospital announced today the launch of the new Massachusetts AI and Technology Center for Connected Care in Aging and Alzheimer's Disease (MassAITC), which seeks to improve in-home care for older adults and individuals with Alzheimer's disease, thanks to a grant from the National Institute on Aging (NIA), which is part of the National Institutes of Health.

1 Nov 2021

Study shows how ML algorithms can be improved significantly for medical purposes

Anyone waiting for the results of a medical test knows the anxious question:'Will my life change completely when I know?' And the relief if you test negative.

1 Nov 2021

Atomic-level imaging of artificial proteins

Scientists have created thin, paper-like crystalline sheets using a synthetic, protein-like molecule called a polypeptoid. These nanosheets are only one molecule thick, with the molecules arranged in very specific ways.

29 Oct 2021

Experts create deep learning network capable of detecting disease biomarkers with high accuracy

Researchers are developing a deep learning network capable of detecting disease biomarkers with a much higher degree of accuracy.

28 Oct 2021

OSU research shines light on the way malignant cancer cells change shape

Oregon State University research has shed new light on the way malignant cells change their shape and migration techniques to invade different types of tissue.

28 Oct 2021

Protein plays a previously unknown role in halting cell cycle in response to stressful conditions

UT Southwestern researchers have identified a new mechanism by which stress causes cells to stop dividing.

27 Oct 2021

Smart sensor equipped chair may help reduce office workers’ back pain problems

Low back pain (LBP) is no stranger to office workers. In Japan, 1 out of 10 otherwise healthy office workers suffer from LBP. Stretching and exercise help alleviate the pain, but workers often do this when it is too late. But what if our chairs could alert us before the pain worsens?

27 Oct 2021

Ensemble-based machine learning algorithms accurately predict anti-cancer drug responses

Today, machine learning, artificial intelligence, and algorithmic advancements made by research scientists and engineers are driving more targeted medical therapies through the power of prediction.

27 Oct 2021

How can we predict the number of future COVID-19 hospital admissions?

Research led by Sophie Meakin of the London School of Hygiene & Tropical Medicine in the United Kingdom suggests ensemble forecasts — a method combining multiple models to predict COVID-19 cases — may be more accurate in estimating COVID-19 hospital admissions in local areas.

27 Oct 2021

Identification of long COVID patients using big data

A new preprint exploits big data to come up with some answers as to the incidence, treatment, and impact on healthcare systems of long covid.

26 Oct 2021

Innovative in vitro platform to evaluate the cardiotoxicity of chemicals

People are continuously exposed to a huge amount and variety of potentially toxic chemicals present in the surrounding environment, such as pesticides or drugs traces in water, soil, air and living organisms. The combined action of pollutants can increase the risk of toxic effects.

25 Oct 2021

Machine learning approach effective in predicting antibiotic resistance spread

Genes aren't only inherited through birth. Bacteria have the ability to pass genes to each other, or pick them up from their environment, through a process called horizonal gene transfer, which is a major culprit in the spread of antibiotic resistance.

22 Oct 2021

Health care costs for people with rare diseases have been underestimated, study shows

A new, retrospective study of medical and insurance records indicates health care costs for people with a rare disease have been underestimated and are three to five times greater than the costs for people without a rare disease.

22 Oct 2021

Researchers challenge long-held assumption about ML trade-offs in public policy decisions

Carnegie Mellon University researchers are challenging a long-held assumption that there is a trade-off between accuracy and fairness when using machine learning to make public policy decisions.

21 Oct 2021

Deep learning algorithm can accurately detect molecular pathways, key mutations in colorectal cancer

A new deep learning algorithm created by researchers from the University of Warwick can pick up the molecular pathways and development of key mutations causing colorectal cancer more accurately than existing methods, meaning patients could benefit from targeted therapies with quicker turnaround times and at a lower cost.

20 Oct 2021

Researchers identify the genetic changes responsible for drug resistance in tuberculosis

Using cutting-edge genomic sequencing techniques, researchers at the University of Oxford have identified almost all the genomic variation that gives people resistance to 13 of the most common tuberculosis (TB) drug treatments.

19 Oct 2021

Novel approach to predict outcomes in COVID-19 patients

In a recent study, researchers have used the predictive power of chest CT scans and plasma cytokines to predict death and severity in COVID-19 patients.

19 Oct 2021

Cornell researchers develop a “digital twin” to help the food industry stop Listeria outbreaks

Researchers from Cornell University are blending food science expertise and computer programming savvy to help the food industry stop Listeria outbreaks.

18 Oct 2021

Use of wearable and wireless inertial sensor systems for treating movement disorders

In their new book, Applied Software Development with Python & Machine Learning by Wearable & Wireless Systems for Movement Disorder Treatment via Deep Brain Stimulation, Dr. Robert LeMoyne and Timothy Mastroianni present the confluence of wearable and wireless inertial sensor systems, such as a smartphone, and machine learning, for deep brain stimulation for treating movement disorders, such as essential tremor.

18 Oct 2021

Machine Learning News and Research

Ability to recognize familiar faces depends on a neural code shared across brains

UMass Amherst and Brigham launch MassAITC to improve in-home care for Alzheimer's patients

Study shows how ML algorithms can be improved significantly for medical purposes

Atomic-level imaging of artificial proteins

Experts create deep learning network capable of detecting disease biomarkers with high accuracy

OSU research shines light on the way malignant cancer cells change shape

Protein plays a previously unknown role in halting cell cycle in response to stressful conditions

Smart sensor equipped chair may help reduce office workers’ back pain problems

Ensemble-based machine learning algorithms accurately predict anti-cancer drug responses

How can we predict the number of future COVID-19 hospital admissions?

Identification of long COVID patients using big data

Innovative in vitro platform to evaluate the cardiotoxicity of chemicals

Machine learning approach effective in predicting antibiotic resistance spread

Health care costs for people with rare diseases have been underestimated, study shows

Researchers challenge long-held assumption about ML trade-offs in public policy decisions

Deep learning algorithm can accurately detect molecular pathways, key mutations in colorectal cancer

Researchers identify the genetic changes responsible for drug resistance in tuberculosis

Novel approach to predict outcomes in COVID-19 patients

Cornell researchers develop a “digital twin” to help the food industry stop Listeria outbreaks

Use of wearable and wireless inertial sensor systems for treating movement disorders

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