IBM Scientists Reinvent Medical Diagnostic Testing

IBM Scientists Reinvent Medical Diagnostic TestingIBM (NYSE: IBM) scientists have created a one-step point-of-care-diagnostic test, based on an innovative silicon chip, that requires less sample volume, is significantly faster, portable, easy to use, and can test for many diseases, including one of world's leading causes of death, cardiovascular disease. The results are so quick and accurate that a small sample of a patient's serum or blood, could be tested immediately following a heart attack, to enable the doctor to quickly take a course of action to help the patient survive.

As reported in Lab on a Chip, December 2009, Volume 9, Issue 23, IBM Research - Zurich scientists Luc Gervais and Emmanuel Delamarche, in collaboration with the University Hospital of Basel in Switzerland, have developed a new diagnostic test that uses capillary forces to analyze tiny samples of serum, or blood, for the presence of disease markers, which are typically proteins that can be detected in people’s blood for diagnostic purposes. Capillary action force is the tendency of a liquid to rise in narrow tubes or to be drawn into small openings. An everyday example of a capillary action force can be viewed by dipping a paper towel in a cup of water - the microstructures in the paper fiber enable the towel to absorb the water.

Point of Care Diagnostics

"This point of care test has achieved the trifecta for medical staff in that it is portable, fast and requires a very small volume of sample," comments Emmanuel Delamarche, scientist, IBM Research - Zurich. "We are giving back precious minutes to doctors so they can make informed and accurate decisions right at the time they need them most to save lives".

IBM scientists have encoded the forces of capillary action on a microfluidic chip made of a silicon compound, similar to those used in computer chips, thus leveraging IBM's vast experience in developing and manufacturing silicon semiconductor wafers. The chip, which measures 1 x 5 centimeters, contains sets of micrometer wide channels where the test sample flows through in approximately 15 seconds, several times faster then traditional tests. Uniquely, the filling speed can be adjusted to several minutes when the chip requires additional time to read a more complex disease marker.

The microfludic chip, which is based on nearly three years of research and development, consists of a microscopic path for liquids with five innovative stages:

Stage 1: A one microliter sample, 50 times smaller than a tear drop, is pipetted onto the chip, where the capillary forces begin to take effect

Stage 2: These forces push the sample through an intricate series of mesh structures, which prevent clogging and air bubbles from forming

Stage 3: The sample then passes in a region where microscopically small amounts of the detection antibody have been deposited. These antibodies have a fluorescent tag and similar to the antibodies within our body, they recognize the disease marker and attach to it within the sample. Only seventy picoliters (a volume one million times smaller than a tear) of these antibodies are used, making their dissolution in the passing sample extremely fast and efficient.

Stage 4: The most critical stage is called the "reaction chamber" and it measures 30 micrometers in width and 20 micrometers in depth, roughly the diameter of a strand of human hair. Similar to a common pregnancy test, in this stage the disease marker that was previously tagged is captured on the surface of the chamber. By shining a focused beam of red light, the tagged disease markers can be viewed using a portable sensor device that contains a chip similar to those used by digital cameras, albeit this one being much more sensitive. Based on the amount of light detected, medical professionals can visually confirm the strength of the disease marker in the sample to determine the next course of treatment.

Stage 5: Less a stage and more a part of the entire process is the capillary pump. The capillary pump, which has a depth of 180 micrometers, contains an intricate set of microstructures, the job of which is to pump the sample through the device for as long as needed and at a regular flow rate, just like the human heart. This pump makes the test accurate, portable and simple to use. IBM scientists have developed a library of capillary pumps so that tests needing a variety of sample volumes or test times can still be done without having to re-engineer the entire chip.

Collaboration
True to IBM's strategy of open collaboration, scientists in Zurich tested their ideas with academic and healthcare partners. This research also would not have been possible without the generous support of KTI/CTI, an organization which fosters innovation in Switzerland.

"This microfluidic chip is the next step in the evolution of point of care devices. We look forward to working with the scientists at IBM Research - Zurich to develop this innovation even further," said Thierry Leclipteux, Chief Executive Officer and Chief Science Officer, Coris BioConcept.

IBM scientists designed the chip with flexibility in mind in both its form and uses. Due to its small size the chip can be embedded in several types of form factors, depending on the application, including a credit card, a pen or something similar to a pregnancy test. Besides diagnosing diseases, the test is also flexible enough to test for chemical and bio hazards.

Why IBM?
From a technological perspective, IBM has been a pioneer in nanoscience ever since the development of the Nobel Prizing winning Scanning Tunneling Microscope in 1981. Ever since, IBM researchers have been pushing the frontiers of scientific knowledge and manipulating at the nano scale and our work in one-step point-of-care diagnostics is a direct result of this effort. IBM is currently embarking on a grand vision called smarter planet helping industries, such as healthcare become more instrumented, interconnected and intelligent.

IBM's track record of improving heatlhcare through scientific achievements and collaboration with healthcare companies dates back to the 1950s. In the last decade, IBM has developed a national digital mammography archive with the University of Pennsylvania; developed a clinical trial participant system with the Mayo Clinic; collaborated with Scripps to understand how influenza viruses mutate and proactively develop treatments; collaborated with European universities to develop better methods to decide on antiretroviral therapies for HIV; launched the World Community Grid, which has done projects on cancer, aids, dengue fever; and much more.

Related news articles:

About Coris
A biotechnology company developing rapid tests for diagnosis of enteric and respiratory pathogens. For more information visit www.corisbio.com.

About IBM
For more information visit http://www.ibm.com.

Most Popular Now

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Alcidion and Novari Health Forge Strateg…

Alcidion Group Limited, a leading provider of FHIR-native patient flow solutions for healthcare, and Novari Health, a market leader in waitlist management and referral management technologies, have joined forces to...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

Ask Chat GPT about Your Radiation Oncolo…

Cancer patients about to undergo radiation oncology treatment have lots of questions. Could ChatGPT be the best way to get answers? A new Northwestern Medicine study tested a specially designed ChatGPT...

North West Anglia Works with Clinisys to…

North West Anglia NHS Foundation Trust has replaced two, legacy laboratory information systems with a single instance of Clinisys WinPath. The trust, which serves a catchment of 800,000 patients in North...

Can AI Techniques Help Clinicians Assess…

Investigators have applied artificial intelligence (AI) techniques to gait analyses and medical records data to provide insights about individuals with leg fractures and aspects of their recovery. The study, published in...

AI Makes Retinal Imaging 100 Times Faste…

Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is...

GPT-4 Matches Radiologists in Detecting …

Large language model GPT-4 matched the performance of radiologists in detecting errors in radiology reports, according to research published in Radiology, a journal of the Radiological Society of North America...