Breaking News
February 20, 2019 - Self-reported sleep duration is a useful tool to measure sleep in children, study suggests
February 20, 2019 - T-cells play key role in how the body fights follicular lymphoma
February 20, 2019 - Study shows how 3D organization of genetic material helps perpetuate the species
February 20, 2019 - Researchers engineer stem cell with ‘suicide genes’ to induce cell death in all but beta cells
February 20, 2019 - Health Tip: Get Your Child to School on Time
February 20, 2019 - Shortcut strategy for screening compounds with clinical potentials for drug development
February 20, 2019 - Common acid reflux drugs tied to elevated risk for kidney disease
February 20, 2019 - Microbiome could be culprit when good drugs do harm
February 20, 2019 - Prenatal exposure to forest fires causes stunted growth in children
February 20, 2019 - Gene therapy restores hearing in mice with congenital genetic deafness
February 20, 2019 - First molecular test predicts treatment response for kidney cancer
February 20, 2019 - New method for improved visualization of single-cell RNA- sequencing data
February 20, 2019 - Researchers capture altered brain activity patterns of Parkinson’s in mice
February 20, 2019 - A possible blood test for detecting Alzheimer’s disease before symptoms show
February 20, 2019 - Primary care physicians associated with longevity, new research finds
February 19, 2019 - New study identifies many key lessons to establish sanctioned safe consumption sites
February 19, 2019 - Single CRISPR treatment can safely and stably correct genetic disease
February 19, 2019 - Multinational initiative to study familial primary distal renal tubular acidosis
February 19, 2019 - Breakthrough study highlights the promise of cell therapies for muscular dystrophy
February 19, 2019 - Subsymptom Threshold Exercise Speeds Concussion Recovery
February 19, 2019 - Midline venous catheters – infants: MedlinePlus Medical Encyclopedia
February 19, 2019 - Searching for side effects
February 19, 2019 - Humanity is all right, probably, although human extinction remains quite possible, researcher says
February 19, 2019 - Having Anesthesia Once as a Baby Does Not Cause Learning Disabilities, New Research Shows
February 19, 2019 - Anti-cancer immunotherapy could be used to fight HIV
February 19, 2019 - Customized Micropatterning for Improved Physiological Relevance
February 19, 2019 - Unique gene therapy approach paves new way to tackle rare, inherited diseases
February 19, 2019 - Activating gene that helps excite neurons reverses depression in male mice
February 19, 2019 - Science Puzzling Out Differences in Gut Bacteria Around the World
February 19, 2019 - Cells that destroy the intestine
February 19, 2019 - On recovery, vulnerability and ritual: An exhibit in white
February 19, 2019 - Scientific Duo Gets Back To Basics To Make Childbirth Safer
February 19, 2019 - COPD patients need more support when understanding new chest symptoms
February 19, 2019 - Using light-based method for production of pharmaceutical molecules
February 19, 2019 - Scientists find link between inflammation and cancer
February 19, 2019 - The High Cost Of Sex: Insurers Often Don’t Pay For Drugs To Treat Problems
February 19, 2019 - Hearing impairment associated with accelerated cognitive decline with age
February 19, 2019 - Researchers identify multiple genetic variants associated with body fat distribution
February 19, 2019 - Influenza and common cold are completely different diseases, study shows
February 19, 2019 - Scientists untangle how microbes manufacture key antibiotic compound
February 19, 2019 - Greater primary care physician supply associated with longer life spans
February 19, 2019 - HIV-1 protein suppresses immune response more broadly than thought
February 19, 2019 - Brain imaging indicates potential success of drug therapy in depressive patients
February 19, 2019 - For 2020 Dem Hopefuls, ‘Medicare-For-All’ Is A Defining Issue, However They Define It
February 19, 2019 - Specialized lung cells appear in the developing fetus much earlier than previously thought
February 19, 2019 - KU professor discusses promise of brain-computer interface to aid, restore communication
February 19, 2019 - Highly effective solution for detecting onset of aggregation in nanoparticles
February 19, 2019 - Early marker of cardiac damage triggered by cancer treatment identified
February 19, 2019 - Antidepressant drug could save people from deadly sepsis, research suggests
February 19, 2019 - CRISPR technology creates pluripotent stem cells that are ‘invisible’ to the immune system
February 19, 2019 - New study establishes how stress favors breast cancer growth and spread
February 19, 2019 - Midlife Systemic Inflammation Linked to Later Cognitive Decline
February 19, 2019 - Therapy derived from parasitic worms downregulates proinflammatory pathways
February 19, 2019 - Antimicrobial reusable coffee cups are less likely to become contaminated with bacteria, study shows
February 19, 2019 - Harnessing the evolutionary games played by cancer cells to advance therapies
February 19, 2019 - AHA News: Heart Transplant Survivor Gets Wedding Proposal at Finish Line
February 19, 2019 - HIV hidden in patients’ cells can now be accurately measured
February 19, 2019 - Research finds reasons for sudden cardiac death in patients with stable ischemic disease
February 19, 2019 - New protocol could help physicians to rule out bacterial infections in infants
February 19, 2019 - Women experiencing miscarriage should be offered treatment choices
February 19, 2019 - New protocol can help identify febrile infants at low risk for serious bacterial infections
February 19, 2019 - Innovative way to block HIV runs into a roadblock
February 19, 2019 - Springer Nature with BCRF conduct pilot project to make their research datasets more accessible
February 19, 2019 - Study finds neuromelanin-sensitive MRI as potential biomarker for psychosis
February 19, 2019 - Improvements in cardiovascular care for elderly save billions in health care costs
February 19, 2019 - Chilean food regulations are changing food perceptions and purchasing habits, study suggests
February 19, 2019 - Index endoscopy results are crucial for assessment of Barrett’s patients
February 18, 2019 - Breast cancer screening age should be lowered to 35
February 18, 2019 - Brain synchronization depends on the language of communication
February 18, 2019 - Drug Company Payments Over Time May Influence Rx Practices
February 18, 2019 - Despite socioeconomic gains, black-white ‘health gap’ remains
February 18, 2019 - Researchers report progress in the treatment of aggressive brain tumors
February 18, 2019 - Scientists discover trigger that turns strep infections into devastating disease
February 18, 2019 - Scanning children’s teeth may predict future mental health issues
February 18, 2019 - Health Highlights: Feb. 14, 2019
February 18, 2019 - New knowledge could help predict and prevent depression
February 18, 2019 - More primary care physicians leads to longer life spans | News Center
February 18, 2019 - Study examines link between supply of primary care physicians and life expectancy
February 18, 2019 - New study assesses screen time in young children
February 18, 2019 - Patented IU discovery to treat ARDS has been optioned to Theratome Bio
Researchers have trained a computer to analyze breast cancer images and classify tumors

Researchers have trained a computer to analyze breast cancer images and classify tumors

image_pdfDownload PDFimage_print

Using technology similar to the type that powers facial and speech recognition on a smartphone, researchers at the University of North Carolina Lineberger Comprehensive Cancer Center have trained a computer to analyze breast cancer images and then classify the tumors with high accuracy.

In a study published in the journal NPJ Breast Cancer, researchers reported they used a form of artificial intelligence called machine learning, or deep learning, to train a computer to identify certain features of breast cancer tumors from images. The computer also identified the tumor type based on complex molecular and genomic features, which a pathologist can’t yet identify from a picture alone. They believe this approach, while still in its early stages, could eventually lead to cost savings for the clinic and in breast cancer research.

“Your smartphone can interpret your speech, and find and identify faces in a photo,” said the study’s first author Heather D. Couture, a graduate research assistant in the UNC-Chapel Hill Department of Computer Science. “We’re using similar technology where we capture abstract properties in images, but we’re applying it to a totally different problem.”

For the study, the researchers used a set of 571 images of breast cancer tumors from the Carolina Breast Cancer Study to train the computer to classify tumors for grade, estrogen receptor status, PAM50 intrinsic subtype, histologic subtype, and risk of recurrence score. To do this, they created software that learned how to predict labels from images using a training set, so that new images could be processed in the same way.

They then used a different set of 288 images to test the computer’s ability to distinguish features of the tumor on its own, comparing the computer’s responses to findings of a pathologist for each tumor’s grade and subtype, and to separate tests for gene expression subtypes. They found the computer was able to distinguish low-intermediate versus high-grade tumors 82 percent of the time. When they had two pathologists review the tumor grade for the low-intermediate grade group, the pathologists agreed with each other about 89 percent of the time, which was slightly higher than the computer’s accuracy.

In addition, the computer identified estrogen receptor status, distinguished between ductal and lobular tumors, and determined whether each case had a high or low risk of recurrence high levels of accuracy. It also identified one of the molecular subtypes of breast cancers – the basal-like subtype – which is based on how genes within the tumor were expressed – with 77 percent accuracy.

“Using artificial intelligence, or machine learning, we were able to do a number of things that pathologists can do at a similar accuracy, but we were also able to do a thing or two that pathologists are not able to do today,” said UNC Lineberger’s Charles M. Perou, PhD, the May Goldman Shaw Distinguished Professor of Molecular Oncology, professor of genetics, and of pathology and laboratory medicine in the UNC School of Medicine. “This has a long way to go in terms of validation, but I think the accuracy is only going to get better as we acquire more images to train the computer with.”

The computer’s ability to identify the basal-like subtype was exciting to researchers, and could have applications in cancer research. They also believe the technology could have applications in communities that do not have pathology resources as well as in helping to validate pathologists’ findings.

“We were surprised that the computer was able to get a pretty high accuracy in estimating biomarker risk just from looking at the pictures,” said UNC Lineberger’s Melissa Troester, PhD, a professor in the UNC Gillings School of Global Public Health. “We spend thousands of dollars measuring those biomarkers using molecular tools, and this new method can take the image and get 80 percent accuracy or better at estimating the tumor phenotype or subtype. That was pretty amazing.”

Couture said deep learning technology has been used in a range of applications, including speech recognition and autonomous vehicles.

“Humans can look at one or two examples of something, and be able to generalize when they see other objects,” Couture said. “For example, chairs come in so many different forms, but we can recognize it as something we sit on. Computers have a much harder time generalizing from small amounts of data. But on other hand, if it you provide enough labeled data, they can learn concepts that are much more complex than humans can assess visually – such as identifying the basal-like subtype from an image alone.”

The unique aspect of their work, researchers said, was that they were able to use the technology to see features of the tumors that humans cannot. They want to figure out what the computer is seeing, as well as to study whether the technology could predict outcomes.

“The computer extracted a lot of information from the images,” Troester said. “We would like to test how well these features predict outcomes, and if we can use these features together with things like molecular data to do even better at giving patients a precise view of what their disease course looks like, and what treatments might be effective.”

Source:

https://unclineberger.org/news/scientists-trained-a-computer

Tagged with:

About author

Related Articles