Machine Learning News and Research

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Machine learning can improve autism screening and diagnostics

Approximately one in 68 people are on the autism spectrum. Experts are unanimous on this: early intervention is critical for improving communication skills and addressing behavioral issues.

12 Jul 2016

Scientists use machine learning to interpret mosquito genome

Scientists are using machine learning to identify important sequences of DNA within the mosquito genome that regulate how the insect's cells develop and behave.

12 Jul 2016

Connectome imaging could help predict severity of language deficits after stoke

Loss or impairment of the ability to speak is one of the most feared complications of stroke--one faced by about 20% of stroke patients. Language, as one of the most complex functions of the brain, is not seated in a single brain region but involves connections between many regions.

11 Jul 2016

Proscia completes $1M seed round of financing to advance cancer diagnosis, treatment

Proscia Inc., a data solutions provider for digital pathology, announced today the completion of its $1M seed round of financing.

5 Jul 2016

Novel suite of computer algorithms can accurately predict behavior of gut microbiome

A team of investigators from Brigham and Women's Hospital and the University of Massachusetts have developed a suite of computer algorithms that can accurately predict the behavior of the microbiome - the vast collection of microbes living on and inside the human body.

28 Jun 2016

TPU scientists develop robotic arm prototype controlled by algorithm using myoelectric signals

Scientists from Tomsk Polytechnic University are developing a robotic arm prototype and its control algorithm using myoelectric signals. The mechanical limb will independently recognize the motions of its owner and be able to perform all the same motions like a healthy arm.

22 Jun 2016

Researchers develop AI-powered systems to make pathologic diagnoses more accurate

Pathologists have been largely diagnosing disease the same way for the past 100 years, by manually reviewing images under a microscope. But new work suggests that computers can help doctors improve accuracy and significantly change the way cancer and other diseases are diagnosed.

20 Jun 2016

POLYCARE project aims to develop integrated home care model for older chronic patients

Fraunhofer FIT in St. Augustin and the University Hospital of Bonn are among the partners in the new European POLYCARE project, which is developing an integrated care system that will improve the care of chronic patients at home. The University Hospital of Bonn will be one of three pilot sites for the project.

15 Jun 2016

Artificial intelligence could refine CAD prognosis

A study shows that machine learning can predict mortality in patients with coronary artery disease with greater accuracy than models based on coronary computed tomographic angiography or clinical variables.

6 Jun 2016

Study provides insight to gene shuffling process

Use of a new technique developed at the Babraham Institute has allowed researchers to take an in-depth look at the gene shuffling process that is responsible for our body's ability to recognise a vast range of foreign agents such as disease-causing microorganisms.

4 Jun 2016

Using proteomic mass spectrometry imaging to detect malignant melanoma: an interview with Stephen Turner

Today, using anatomic pathology, the differences in appearance of a normal or a malignant lesion can be difficult to tell when just using light microscopy.

2 Jun 2016

Applying deep neural networks to predict pharmacologic properties of drugs and drug repurposing

Deep learning, frequently referred to as artificial intelligence, a branch of machine learning utilizing multiple layers of neurons to model high-level abstractions in data, has outperformed humans in tasks including image, text and voice recognition, autonomous driving and others, and is now being applied to drug discovery and biomarker development.

28 May 2016

New data-intensive supercomputer may help combat spread of Zika virus

More than 50 data scientists, engineers, and UT Austin students gathered on Sunday, May 15, 2016 to use Big Data to fight the spread of Zika for the "Austin Zika Hackathon" at the Cloudera offices downtown.

23 May 2016

Researchers call for creation of global early warning system for infectious diseases

In the recent issue of EMBO reports, Barbara Han of the Cary Institute of Ecosystem Studies and John Drake of the University of Georgia Odum School of Ecology call for the creation of a global early warning system for infectious diseases.

23 May 2016

OpenZika project uses supercomputing power to identify potential drug candidates to cure Zika virus

Rutgers is taking a leading role in an IBM-sponsored World Community Grid project that will use supercomputing power to identify potential drug candidates to cure the Zika virus.

19 May 2016

UD scientists merge electronic health records to improve care, clinical outcomes for CKD patients

Electronic health records have the potential to reduce the incidence of medical errors, duplication of tests, and delays in treatment.

19 May 2016

Cloud-based data from EHRs can help track influenza in real time

Early detection and prediction of influenza outbreaks is critical to minimizing their impact. Currently, flu-like illnesses are tracked by the Centers for Disease Control and Prevention, but with a time lag of one to two weeks.

11 May 2016

Human brains constantly make statistical computations to estimate confidence

The directions, which came via cell phone, were a little garbled, but as you understood them: "Turn left at the 3rd light and go straight; the restaurant will be on your right side." Ten minutes ago you made the turn. Still no restaurant in sight. How far will you be willing to drive in the same direction?

5 May 2016

Researchers develop SpiroCall that can accurately measure lung function over simple phone call

Most people in the developing world who have asthma, cystic fibrosis or other chronic lung diseases have no way to measure how well their lungs are functioning outside of a clinic or doctor visit.

3 May 2016

Machine learning could become powerful tool in plastic surgery

With an ever-increasing volume of electronic data being collected by the healthcare system, researchers are exploring the use of machine learning—a subfield of artificial intelligence—to improve medical care and patient outcomes.

30 Apr 2016