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Purdue University articles

Displaying 1 - 9 of 9

Combining MRI and optical microscopy improves brain research

Combining MRI and optical microscopy improves brain research
  Functional magnetic resonance imaging reveals changes in blood-oxygen levels in different parts of the brain, but the data show nothing about what is actually happening in and between brain cells, information needed to better understand brain circuitry and function.
5th June 2017

Brightlamp smartphone app diagnoses concussions

Brightlamp smartphone app diagnoses concussions
Brightlamp, a startup out of Purdue University, is developing an app that uses machine learning and the smartphone camera to help diagnose a concussion in about five seconds. Concussions are a type of brain injury that can happen during a collision or impact, causing the affected person to feel dizzy or disoriented. In sports like American Football or boxing, concussions are a common type of injury. Unfortunately, concussions can increase the likelihood of depression and neurodegenerative disease in later life.
2nd June 2017

Technique increases life span of implantable devices

Technique increases life span of implantable devices
A new technique being developed at Purdue University could provide patients who require implantable catheters in the treatment of neurological and other disorders with a reliable and self-clearing catheter that could eliminate the need for additional surgery to replace failing devices. “Implantable catheters are used to treat a number of neurological and cardiac disorders by either diverting excess fluid or for delivering drugs".
30th May 2017


Brain-imaging uses ‘multi-pupil’ prism arrays

Brain-imaging uses ‘multi-pupil’ prism arrays
A specialised type of adaptive-optics technology that has been demonstrated by taking high-resolution time-lapse images of functioning brain cells might be used to better understand how the brain works. The system is capable of revealing changing details of biological processes in cells over a larger field of view than otherwise possible, allowing “high throughput” essential for the study of brain activity.
15th May 2017

Test strips could detect cervical cancer earlier

Test strips could detect cervical cancer earlier
  Purdue researchers are developing technology that could lead to the early detection of cervical cancer with low-cost, easy-to-use, lateral flow test strips similar to home pregnancy tests.
30th March 2017

Touch and sound let blind “see” computer screens

Touch and sound let blind “see” computer screens
Purdue University researchers are developing software in a “haptic device” that could give people with visual impairments the ability to identify scientific images on a computer screen using their other senses. Ting Zhang, a graduate student in the Purdue School of Industrial Engineering, is developing a system that involves a specially designed joystick attached to a computer. The joystick controls a cursor.
20th March 2017

Blood test may soon be able to detect cancer

Blood test may soon be able to detect cancer
Doctors may soon be able to detect and monitor a patient's cancer with a simple blood test, reducing or eliminating the need for more invasive procedures, according to Purdue University research. W. Andy Tao, a professor of biochemistry and member of the Purdue University Center for Cancer Research and colleagues identified a series of proteins in blood plasma that, when elevated, signify that the patient has cancer. Their findings were published in the Proceedings of the National Academy of Sciences.
8th March 2017

Protein array can pinpoint cancer biomarker

A Purdue University biochemist has developed a novel method for detecting certain types of proteins that serve as indicators for cancer and other diseases. Glycoproteins are formed when sugars attach to and modify a protein. In some cases, a combination of glycoproteins present in a sample of blood or urine could be an indicator of disease or cancer. But those glycoproteins can be elusive.
16th November 2016

Software could accurately predict structure of a drug

A Purdue-based startup is developing molecular modelling simulation software that could help pharmaceutical companies more accurately predict the crystal structure of a drug once produced, helping maintain a consistent drug quality and save costs when developing new drugs. Lyudmila Slipchenko, associate professor in Purdue's Department of Chemistry, and Pradeep Kumar Gurunathan, a graduate student in chemistry, co-founded the company Simplexity Simulations LLC to commercialise the software.
18th August 2016


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