Machine Learning News and Research

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Novel AI voice tool can help diagnose PTSD

A specially designed computer program can help diagnose post-traumatic stress disorder (PTSD) in veterans by analyzing their voices, a new study finds.

22 Apr 2019

Improving the quality of digital pathology imaging

There's a low-tech problem troubling the high-tech world of digital pathology imaging.

19 Apr 2019

Integrating AI to analyze imaging data allows early recognition of heart disease

Integrating artificial intelligence to analyze imaging data allows early recognition of heart disease, saving patients' time, money and, most importantly, lives.

17 Apr 2019

Workshop explores the future of artificial intelligence in medical imaging

In August 2018, a workshop was held at the National Institutes of Health (NIH) in Bethesda, Md., to explore the future of artificial intelligence (AI) in medical imaging.

17 Apr 2019

Newly developed approach efficiently assesses carcinogenicity of chemicals

Researchers from Boston University Schools of Medicine and Public Health have developed and evaluated a fast, accurate and cost-effective approach to assessing the carcinogenicity of chemicals--that is, whether exposure to a chemical increases a person's long-term cancer risk.

10 Apr 2019

EuroCMR 2019 to present novel studies on clinical use of cardiovascular magnetic resonance

Novel studies from around the world showing cutting-edge clinical use of cardiovascular magnetic resonance will be presented at EuroCMR 2019, a meeting of the European Association of Cardiovascular Imaging, a branch of the European Society of Cardiology.

10 Apr 2019

Researchers develop new method for identifying compounds that prevent aging

Researchers at Karolinska Institutet in Sweden have developed a new method for identifying compounds that prevent aging.

9 Apr 2019

Gut microbiome signatures in colorectal cancer transcend culture and diet

Patients with colorectal cancer have the same consistent changes in the gut bacteria across continents, cultures, and diets -- a team of international researchers, from University of Copenhagen among others, find in a new study.

4 Apr 2019

New analysis establishes global microbial signatures for colorectal cancer

Cancers have long been known to arise due to environmental exposures such as unhealthy diet or smoking. Lately, the microbes living in and on our body have entered the stage as key players: while stomach cancer can be caused by a single bacterial species, Helicobacter pylori, the role that gut microbes play in the development of colorectal cancer - the third most common cancer worldwide - is less clear.

2 Apr 2019

Gut microbiota can help predict occurrence of colorectal cancer

Gut microbiota - the population of microbes that live in our intestine - can be used to predict the occurrence of colorectal cancer, the second most common type of cancer in women and the third in men.

1 Apr 2019

Scientists develop new accurate computational method to enhance drug target stability

Scientists from the Moscow Institute of Physics and Technology, the Skolkovo Institute of Science and Technology, and the University of Southern California have developed a new computational method for the design of thermally stable G protein-coupled receptors that are of great help in creating new drugs.

30 Mar 2019

New Hasso Plattner Institute for Digital Health launched at Mount Sinai

The Mount Sinai Health System and the Hasso Plattner Institute today announced an affiliation that brings together industry leaders with combined expertise in health care delivery, health sciences, biomedical and digital engineering, machine learning and artificial intelligence to rapidly develop digital health products with real-time predictive and preventive capabilities that empower patients and health care providers, and improve health and health outcomes.

29 Mar 2019

Artificial intelligence can predict risk of premature death

Artificial intelligence may significantly improve the accuracy of premature death prediction for patients with chronic disease, compared with standard models.

28 Mar 2019

First-of-its-kind smartphone app predicts dietary lapses

More than two-thirds of adults in the United States are overweight and half of them are trying to lose weight, according to the Centers for Disease Control and Prevention.

28 Mar 2019

AI technique identifies key patterns from video recording of infant movements

Subtle characteristics in the spontaneous movement of very young babies may reveal clinically important aspects of their neurodevelopment. Visual assessment of typical movement patterns (General movements, GM) by a clinical expert is known to be effective in early identification of e.g. cerebral palsy.

27 Mar 2019

AI breakthrough could improve insulin dosing for diabetics

University of Queensland alumnus Dr Nigel Greenwood from Evolving Machine Intelligence developed the technology and worked with others from UQ to build real-world applications.

25 Mar 2019

New model more effective in predicting risk of opioid overdose than traditional models

Current approaches to identifying people who are at high risk for overdosing on opioids target many who are not truly at high risk.

22 Mar 2019

The Brain Institute wins $7.04 million grant to investigate 'neurophilosphy of free will'

The newly-minted Institute for Interdisciplinary Brain and Behavioral Science (The Brain Institute) at Chapman University, with Dr. Uri Maoz as project leader, is the recipient of a total of $7.04 million to study how the human brain enables conscious control of decisions and actions.

22 Mar 2019

Pitt engineers win $550,000 NSF CAREER award to develop new intervention for people with ASD

Autism was first described by U.S. researchers more than 70 years ago, and today the Centers for Disease Control and Prevention estimates that 1 in 59 children are identified with autism spectrum disorder, affecting more than 3.5 million Americans.

22 Mar 2019

Creating diverse pool of trained scientists to address Alzheimer's research needs

Roberta Diaz Brinton, PhD, an internationally recognized expert on Alzheimer's disease and inaugural director of the Center for Innovation in Brain Science at the University of Arizona Health Sciences, has received a five-year, $1.8 million grant from the National Institutes of Health Institute on Aging.

22 Mar 2019

Machine Learning News and Research

Novel AI voice tool can help diagnose PTSD

Improving the quality of digital pathology imaging

Integrating AI to analyze imaging data allows early recognition of heart disease

Workshop explores the future of artificial intelligence in medical imaging

Newly developed approach efficiently assesses carcinogenicity of chemicals

EuroCMR 2019 to present novel studies on clinical use of cardiovascular magnetic resonance

Researchers develop new method for identifying compounds that prevent aging

Gut microbiome signatures in colorectal cancer transcend culture and diet

New analysis establishes global microbial signatures for colorectal cancer

Gut microbiota can help predict occurrence of colorectal cancer

Scientists develop new accurate computational method to enhance drug target stability

New Hasso Plattner Institute for Digital Health launched at Mount Sinai

Artificial intelligence can predict risk of premature death

First-of-its-kind smartphone app predicts dietary lapses

AI technique identifies key patterns from video recording of infant movements

AI breakthrough could improve insulin dosing for diabetics

New model more effective in predicting risk of opioid overdose than traditional models

The Brain Institute wins $7.04 million grant to investigate 'neurophilosphy of free will'

Pitt engineers win $550,000 NSF CAREER award to develop new intervention for people with ASD

Creating diverse pool of trained scientists to address Alzheimer's research needs

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