Machine Learning News and Research

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Study identifies new learning approach for artificial intelligence

A recent study identified a new cloud-based learning approach for artificial intelligence (AI) could instruct computers to learn like humans.

5 Mar 2018

IQuity launches pioneering RNA-based blood test to diagnose fibromyalgia

Nashville-based data science company IQuity has announced the release of IsolateFibromyalgia™, a pioneering blood test that uses RNA analysis to help health care providers accurately and quickly detect fibromyalgia syndrome.

5 Mar 2018

Machine learning can help accurately predict clinical outcomes in patients with heart problems

Several studies being presented at the American College of Cardiology's 67th Annual Scientific Session demonstrate how the computer science technique known as machine learning can be used to accurately predict clinical outcomes in patients with known or potential heart problems.

1 Mar 2018

New study identifies novel molecular biomarkers of preeclampsia

Preeclampsia, a sudden pregnancy complication that can interfere with the blood flow to the placenta and possibly to the fetus, can lead to low birth weight, prematurity and even death.

22 Feb 2018

USC-led researchers release dataset of brain scans from stroke patients

A USC-led team has now compiled, archived and shared one of the largest open-source datasets of brain scans from stroke patients via a study published Feb. 20 in Scientific Data, a Nature journal.

21 Feb 2018

Resolving Interfacial Protein Dynamics by STReM

STReM stands for Super Time-Resolved Microscopy, and as STORM, PALM, and other methods are designed to improve spatial resolution of optical microscopy, we desire to improve the time resolution. STReM makes use of point spread function engineering to encode fast events into each camera frame.

From Pittcon 16 Feb 2018

MRI and machine learning could predict whether OCD patients will benefit from treatment

Washing hands needlessly dozens of times of day. Spending so much time perfecting schoolwork that it never gets turned in.

15 Feb 2018

Emotional state affects operation of the entire brain instead of being restricted to specific regions

The brain mechanisms of basic emotions such as anger and happiness are fairly similar across people. Differences are greater in social emotions, such as gratitude and contempt.

14 Feb 2018

The training of Dr. Robot: Data wave hits medical care

The technology used by Facebook, Google and Amazon to turn spoken language into text, recognize faces and target advertising could help doctors combat one of the deadliest killers in American hospitals.

14 Feb 2018

Using Smartphones for Cancer Diagnosis and Management

Dr. Castro is a translational oncologist with experience developing and harnessing nanotechnology and molecular imaging platforms for cancer purposes. His work offers a “less is more” approach — to generate robust cancer analyses using scant amount of specimens. Dr. Castro’s research has included funding from the V Foundation for Cancer Research, National Institutes of Health, Ovarian Cancer Research Fund, and the Department of Defense.

From Pittcon 14 Feb 2018

Scientists develop Scanpy software to analyze enormous single-cell data

Scientists from the Helmholtz Zentrum München have developed a program that is able to help manage enormous datasets.

13 Feb 2018

Researchers develop new system for early diagnosis of many diseases

According to the World Health Organization, cardiovascular diseases remain the leading cause of death worldwide. At the same time, 80 out of 100 cases of stroke can be prevented. The number of people suffering from various diseases of the musculoskeletal system is also steadily growing every year.

6 Feb 2018

Research can be first step in harnessing power of artificial intelligence to interpret medical scans

Researchers used machine learning techniques, including natural language processing algorithms, to identify clinical concepts in radiologist reports for CT scans, according to a study conducted at the Icahn School of Medicine at Mount Sinai and published today in the journal Radiology.

1 Feb 2018

Researchers explore new biomarkers for early detection of Parkinson’s from speech

The study of new non-invasive biomarkers able to identify the Parkinson's disease from the speech of patients is the joint work carried out by researchers from Universidad Politécnica de Madrid, Massachusetts Institute of Technology and Johns Hopkins University.

31 Jan 2018

M3DICINE launches revolutionary AI-enabled stethoscope system

M3DICINE Inc, designers of intelligent medical devices, today announced the launch of Stethee, the world’s first AI-enabled stethoscope system.

27 Jan 2018

Researchers use epigenetic signatures to advance diagnosis for neurodevelopmental disorders

Greenwood Genetic Center researchers in collaboration with scientists from Canada have identified unique epigenetic signatures for nine neurodevelopmental disorders lending to a better method of diagnosis for disorders with much clinical overlap.

23 Jan 2018

Researchers develop single blood test that screens for 8 cancer types

Johns Hopkins Kimmel Cancer Center researchers developed a single blood test that screens for eight common cancer types and helps identify the location of the cancer.

19 Jan 2018

Toothpaste ingredient could be employed as anti-malarial drug against drug-resistant parasites

An ingredient commonly found in toothpaste could be employed as an anti-malarial drug against strains of malaria parasite that have grown resistant to one of the currently-used drugs.

19 Jan 2018

Methods from optogenetics, machine learning should help improve treatment options for stroke patients

Methods from optogenetics and machine learning should help improve treatment options for stroke patients. Researchers from Heidelberg University have developed a computer vision technique to analyze the changes in motor skills that result from targeted stimulation of healthy areas of the brain.

17 Jan 2018

Machine learning algorithm uses brain scans to predict language ability in deaf children

In a new international collaborative study between The Chinese University of Hong Kong and Ann & Robert H. Lurie Children's Hospital of Chicago, researchers created a machine learning algorithm that uses brain scans to predict language ability in deaf children after they receive a cochlear implant.

15 Jan 2018