Machine Learning News and Research

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Study explores cellular alterations in six distinct neurodegenerative diseases

A perplexing range of neurodegenerative diseases are known to attack distinct regions of the brain, causing severe cognitive and motor deficit.

21 Dec 2022

Using an AI tool for early identification of Alzheimer's and related dementias in primary care

Rising to meet the formidable challenge of the timely diagnosis of dementia, research scientists from Regenstrief Institute, IUPUI and the medical schools of Indiana University and University of Miami are conducting the Digital Detection of Dementia study, a real-world evaluation of the use of an artificial intelligence (AI) tool they developed for early identification of Alzheimer's disease and related dementias in primary care, the setting where most adults receive healthcare.

21 Dec 2022

Mount Sinai researchers construct a computer-derived marker for coronary artery disease

Using machine learning and clinical data from electronic health records, researchers at the Icahn School of Medicine at Mount Sinai in New York constructed an in silico, or computer-derived, marker for coronary artery disease (CAD) to better measure clinically important characterizations of the disease.

21 Dec 2022

Virtual reality games, eye tracking and machine learning can be used to detect ADHD

Researchers have used virtual reality games, eye tracking and machine learning to show that differences in eye movements can be used to detect ADHD, potentially providing a tool for more precise diagnosis of attention deficits.

20 Dec 2022

Study identifies a neuromarker for drug and food craving

Craving is known to be a key factor in substance use disorders and can increase the likelihood of future drug use or relapse. Yet its neural basis - or, how the brain gives rise to craving - is not well understood.

19 Dec 2022

New system based on AI enables mass detection of Covid cases with a sensitivity of 97%

Washing your hands with hydroalcoholic gel, smelling it and using a QR code to answer a short questionnaire.

15 Dec 2022

Study: Incidence and mortality of cervical cancer remain much higher in most countries

There were over 600,000 new cases of cervical cancer and over 340,000 deaths worldwide in 2020, according to an observational study published in The Lancet Global Health journal.

15 Dec 2022

Novel machine learning method detects animal coronaviruses that might infect humans

Researchers used machine learning (ML) tools to discover animal coronaviruses (CoVs), both alpha and beta CoVs, previously unknown to infect humans.

15 Dec 2022

Blood-based dietary signatures accurately predict both diet and risk of diseases

When it comes to studying food and diet, it's difficult to know what people are eating – let alone their risk of disease caused by what they eat.

15 Dec 2022

Gut-dwelling bacteria can promote the desire to exercise, study shows

Some species of gut-dwelling bacteria activate nerves in the gut to promote the desire to exercise, according to a study in mice that was led by researchers at the Perelman School of Medicine at the University of Pennsylvania.

15 Dec 2022

New project on ultrasound device for treatment of neuropathic pain to receive NIH funding

Researchers from Florida Atlantic University's Schmidt College of Medicine, in collaboration with Albany Medical College in New York, are among seven institutions nationwide selected to receive funding from the National Institutes of Health for their innovative pilot projects to enable new medical devices to diagnose and treat both acute and chronic disorders from neuropathic pain to mental illness.

15 Dec 2022

Research maps the evolution and natural selection of E. coli bacteria

Antibiotic resistance, when infection-causing bacteria evolve so they are no longer affected by typical antibiotics, is a global concern.

14 Dec 2022

AI model provides a way for rapid COVID-19 testing and detection

COVID-19 and its latest Omicron strains continue to cause infections across the country as well as globally. Serology (blood) and molecular tests are the two most commonly used methods for rapid COVID-19 testing.

13 Dec 2022

Discovery of biomarkers lays the groundwork for predicting preeclampsia

A discovery by Stanford School of Medicine researchers of biomarkers in the blood and urine of women with a dangerous complication of pregnancy could lead to a low-cost test to predict the condition.

9 Dec 2022

Researchers develop a virtual molecular library of thousands of 'command sentences' for cells

Using new machine learning techniques, researchers at UC San Francisco (UCSF), in collaboration with a team at IBM Research, have developed a virtual molecular library of thousands of "command sentences" for cells, based on combinations of "words" that guided engineered immune cells to seek out and tirelessly kill cancer cells.

8 Dec 2022

Understanding soundscapes in day cares can pave the way toward better child care

During some of their most formative years, many children go to day care centers outside their homes. While there, they require a supportive, healthy environment that includes meaningful speech and conversation. This hinges on the soundscape of the child care center.

8 Dec 2022

Genes related to alcohol and tobacco use are similar among people with diverse ancestries

Penn State researchers co-led a large genetic study that identified more than 2,300 genes predicting alcohol and tobacco use after analyzing data from more than 3.4 million people.

7 Dec 2022

New method can easily detect multiple types of cancers

When cancer is detected at an early stage, the rates of survival increase drastically, but today only a few cancer types are screened for.

7 Dec 2022

New project aims to address the vast data-related problems in cancer research

The National Cancer Institute has awarded $10.5 million to the Division of Biostatistics at the Department of Population and Public Health Sciences at the Keck School of Medicine of USC.

6 Dec 2022

Largest machine learning effort securely aggregates data from brain scans of glioblastoma patients

Researchers at Penn Medicine and Intel Corporation led the largest-to-date global machine learning effort to securely aggregate knowledge from brain scans of 6,314 glioblastoma (GBM) patients at 71 sites around the globe and develop a model that can enhance identification and prediction of boundaries in three tumor sub-compartments, without compromising patient privacy.

6 Dec 2022

Machine Learning News and Research

Study explores cellular alterations in six distinct neurodegenerative diseases

Using an AI tool for early identification of Alzheimer's and related dementias in primary care

Mount Sinai researchers construct a computer-derived marker for coronary artery disease

Virtual reality games, eye tracking and machine learning can be used to detect ADHD

Study identifies a neuromarker for drug and food craving

New system based on AI enables mass detection of Covid cases with a sensitivity of 97%

Study: Incidence and mortality of cervical cancer remain much higher in most countries

Novel machine learning method detects animal coronaviruses that might infect humans

Blood-based dietary signatures accurately predict both diet and risk of diseases

Gut-dwelling bacteria can promote the desire to exercise, study shows

New project on ultrasound device for treatment of neuropathic pain to receive NIH funding

Research maps the evolution and natural selection of E. coli bacteria

AI model provides a way for rapid COVID-19 testing and detection

Discovery of biomarkers lays the groundwork for predicting preeclampsia

Researchers develop a virtual molecular library of thousands of 'command sentences' for cells

Understanding soundscapes in day cares can pave the way toward better child care

Genes related to alcohol and tobacco use are similar among people with diverse ancestries

New method can easily detect multiple types of cancers

New project aims to address the vast data-related problems in cancer research

Largest machine learning effort securely aggregates data from brain scans of glioblastoma patients

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