Navigation Links
Computer-aided diagnosis of rare genetic disorders from family snaps
Date:6/23/2014

Computer analysis of photographs could help doctors diagnose which condition a child with a rare genetic disorder has, say Oxford University researchers.

The researchers, funded in part by the Medical Research Council (MRC), have come up with a computer programme that recognises facial features in photographs; looks for similarities with facial structures for various conditions, such as Down's syndrome, Angelman syndrome, or Progeria; and returns possible matches ranked by likelihood.

Using the latest in computer vision and machine learning, the algorithm increasingly learns what facial features to pay attention to and what to ignore from a growing bank of photographs of people diagnosed with different syndromes.

The researchers report their findings in the journal eLife. The study was funded by the MRC, the Wellcome Trust, the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC) and the European Research Council (ERC VisRec).

While genetic disorders are each individually rare, collectively these conditions are thought to affect one person in 17. Of these, a third may have symptoms that greatly reduce quality of life. However, most people fail to receive a genetic diagnosis.

'A diagnosis of a rare genetic disorder can be a very important step. It can provide parents with some certainty and help with genetic counselling on risks for other children or how likely a condition is to be passed on,' says lead researcher Dr Christoffer Nellker of the MRC Functional Genomics Unit at the University of Oxford. 'A diagnosis can also improve estimates of how the disease might progress, or show which symptoms are caused by the genetic disorder and which are caused by other clinical issues that can be treated.'

The team of researchers at the University of Oxford included first author Quentin Ferry, a DPhil research student, and Professor Andrew Zisserman of the Department of Engineering Science, who brought expertise in computer vision and machine learning.

Professor Zisserman says: 'It is great to see such an inventive and beneficial use of modern face representation methods.'

Identifying a suspected developmental disorder tends to require clinical geneticists to come to a conclusion based on facial features, follow up tests and their own expertise. It's thought that 3040% of rare genetic disorders involve some form of change in the face and skull, possibly because so many genes are involved in development of the face and cranium as a baby grows in the womb.

The researchers set out to teach a computer to carry out some of the same assessments objectively.

They developed a programme that like Google, Picasa and other photo software recognises faces in ordinary, everyday photographs. The programme accounts for variations in lighting, image quality, background, pose, facial expression and identity. It builds a description of the face structure by identifying corners of eyes, nose, mouth and other features, and compares this against what it has learnt from other photographs fed into the system.

The algorithm the researchers have developed sees patients sharing the same condition automatically cluster together.

The computer algorithm does better at suggesting a diagnosis for a photo where it has previously seen lots of other photos of people with that syndrome, as it learns more with more data.

Patients also cluster where no documented diagnosis exists, potentially helping in identifying ultra-rare genetic disorders.

'A doctor should in future, anywhere in the world, be able to take a smartphone picture of a patient and run the computer analysis to quickly find out which genetic disorder the person might have,' says Dr Nellker.

'This objective approach could help narrow the possible diagnoses, make comparisons easier and allow doctors to come to a conclusion with more certainty.'


'/>"/>

Contact: Press Office
news.office@admin.ox.ac.uk
44-186-528-0530
University of Oxford
Source:Eurekalert  

Related biology news :

1. Test to improve peanut allergy diagnosis
2. Tiny electrical sensors could signal faster MRSA diagnosis
3. Researchers identify genes that may help in ovarian cancer diagnosis and prognosis
4. Promising developments in early diagnosis and treatment of mesothelioma
5. A new diagnosis for Frida Kahlos infertility
6. Sequencing works in clinical setting to help -- finally -- get a diagnosis
7. Exome sequencing gives cheaper, faster diagnosis in heterogeneous disease
8. Obesity is major contributor to heart disease, impediment to diagnosis and treatment
9. Plants provide accurate low-cost alternative for diagnosis of West Nile Virus
10. Privately owned genetic databases may hinder diagnosis and bar the way to the arrival of personalized medicine
11. Detection, analysis of cell dust may allow diagnosis, monitoring of brain cancer
Post Your Comments:
*Name:
*Comment:
*Email:
Related Image:
Computer-aided diagnosis of rare genetic disorders from family snaps
(Date:8/14/2019)... TORONTO (PRWEB) , ... August 13, 2019 , ... ... Cancer Medicine Team, Division of Molecular Pathology, Institute of Cancer Research (ICR) in ... (5pm BST/UK) to learn about the process of biomarker and companion diagnostic development ...
(Date:8/6/2019)... ... August 06, 2019 , ... ... manufacturing with clinical, regulatory and GMP manufacturing experience. In November it spun ... With extensive regulatory experience and one of the first cGMP cell ...
(Date:8/4/2019)... ... August 02, 2019 , ... Stay on top of current ... and food industries. Access to all webinars is free, so be sure to register ... field! , Visit http://www.xtalks.com to see our upcoming webinars: , CLINICAL OPERATIONS ...
Breaking Biology News(10 mins):
(Date:7/9/2019)... ... July 08, 2019 , ... Today, at the BIO World Congress ... Growers Association (NCGA) announced the winners of the Consider Corn Challenge II. Three ... using field corn to produce biobased materials. , “Corn is a sustainable, abundant ...
(Date:7/2/2019)... (PRWEB) , ... July 02, 2019 , ... Leading Regenerative ... entitled Animal Pharm: Where Beasts Meet Biotech. The film focuses on regenerative veterinary ... animals. Animal Pharm was recently included in the Brentwood and Pacific ...
(Date:6/18/2019)... ... June 17, 2019 , ... IVERIC bio, Inc. (NASDAQ: ... for production and manufacturing of GMP-grade adeno-associated virus (AAV) vector for IVERIC bio’s ... pigmentosa (RHO-adRP) and IC-200 for the treatment of BEST1 related retinal diseases. IVERIC ...
(Date:6/12/2019)... N.J. (PRWEB) , ... June 12, 2019 , ... ... custom built, helium-based leak testing instruments for the Pharmaceutical, Biotechnology, Medical Device and ... Shanghai Zillion has been signed. The agreement will grant exclusive rights for Zillion ...
Breaking Biology Technology: