Machine Learning News and Research

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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 can yield "proxy measures" for brain-related health issues

A study published today by an interdisciplinary collaboration, directed by Denis Engemann from Inria, demonstrates that machine learning from large population cohorts can yield "proxy measures" for brain-related health issues without the need for a specialist's assessment.

18 Oct 2021

New risk measure can better predict pandemic spread than other models

COVID-19 is not the flu. The disease caused by the novel SARS-CoV-2 virus is more transmissible, and deadlier, than most influenza epidemics we've encountered in our lifetimes, and scientists and physicians are still learning new things about the disease and its long-term effects.

15 Oct 2021

Ondansetron use associated with increased survival in mechanically ventilated COVID-19 patients

A recent study analyzes real-world data using artificial intelligence to provide insights into using ondansetron, an antiemetic agent, among SARS-CoV-2 positive patients.

14 Oct 2021

Non-invasive optical probe reveals the complex changes in tumors after immunotherapy

Johns Hopkins University engineers are the first to use a non-invasive optical probe to understand the complex changes in tumors after immunotherapy, a treatment that harnesses the immune system to fight cancer.

13 Oct 2021

Researchers develop a cervical myelopathy screening tool using non-contact sensor and machine learning

Cervical myelopathy (CM) results from compression of the spinal cord in the neck and causes difficulty moving the fingers and unsteady gait.

13 Oct 2021

Large-scale transdiagnostic study links mental illness and poor sleep quality

People who have been diagnosed with a mental illness are more likely to have poor sleep quality compared to the general population, according to the largest study of its kind ever conducted.

12 Oct 2021

Vaccinated children induced significantly higher antibody titers than naturally SARS-CoV-2 infected children

A recent preprint discusses the antibody response to the nucleic acid vaccines against SARS-CoV-2 when administered to children aged 7-11 years.

12 Oct 2021

New federated analytics system can act as a game-changer towards personalized medicine

Predictive, preventive, personalized and participatory medicine, known as P4, is the healthcare of the future. To both accelerate its adoption and maximize its potential, clinical data on large numbers of individuals must be efficiently shared between all stakeholders.

11 Oct 2021

New algorithm provides a high-definition analysis of genome organization in single cells

Within the microscopic boundaries of a single human cell, the intricate folds and arrangements of protein and DNA bundles dictate a person's fate: which genes are expressed, which are suppressed, and - importantly - whether they stay healthy or develop disease.

11 Oct 2021

New machine-learning model can identify individuals at risk of rare cardiomyopathy

A machine-learning model can identify patients at risk of a rare cardiomyopathy, according to a study published in Nature Communications.

11 Oct 2021

Study uncovers toxic air pollutant mixtures linked to poor childhood asthma outcomes

Researchers at the Icahn School of Medicine at Mount Sinai have developed a novel machine learning algorithm and used it to identify previously unknown mixtures of toxic air pollutants that appear to be linked to poor asthma outcomes later in a child's life.

8 Oct 2021

Machine learning algorithms accelerate the protein engineering process

Proteins are the molecular machines of all living cells and have been exploited for use in many applications, including therapeutics and industrial catalysts.

7 Oct 2021

New technology shows great promise for early diagnosis of Alzheimer’s disease

A technology developed by scientists at Lawrence Berkeley National Laboratory (Berkeley Lab) shows great promise for diagnosing Alzheimer's disease before symptoms arise, potentially changing the course of research and treatment for this condition, which affects millions of people worldwide and is estimated to be the sixth leading cause of death in the United States.

7 Oct 2021

Machine Learning News and Research

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

Machine learning can yield "proxy measures" for brain-related health issues

New risk measure can better predict pandemic spread than other models

Ondansetron use associated with increased survival in mechanically ventilated COVID-19 patients

Non-invasive optical probe reveals the complex changes in tumors after immunotherapy

Researchers develop a cervical myelopathy screening tool using non-contact sensor and machine learning

Large-scale transdiagnostic study links mental illness and poor sleep quality

Vaccinated children induced significantly higher antibody titers than naturally SARS-CoV-2 infected children

New federated analytics system can act as a game-changer towards personalized medicine

New algorithm provides a high-definition analysis of genome organization in single cells

New machine-learning model can identify individuals at risk of rare cardiomyopathy

Study uncovers toxic air pollutant mixtures linked to poor childhood asthma outcomes

Machine learning algorithms accelerate the protein engineering process

New technology shows great promise for early diagnosis of Alzheimer’s disease

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