Category: Medical Research & Technology

Scientists Develop AI Tool to Detect Parkinson’s Disease

Researchers have developed an AI program that can assist physicians in performing a quantitative analysis when diagnosing Parkinson’s disease. 

As human populations continue to age due to improved medical care, there is an impending ‘Parkinson’s disease pandemic’ where numbers of individuals suffering this age-related neurodegenerative disease threaten to overwhelm healthcare systems. There is a need to distinguish between Parkinson’s and other diseases which have similar motor symptoms.
Assistant Professor Andrey Somov at the Skolkovo Institute of Science and Technology and colleagues developed a machine learning algorithm to analyse video recordings of patients performing certain tasks.

“As part of the research process, we had the opportunity to closely interact with doctors and medical personnel, who shared their ideas and experience. It was fascinating observing how two seemingly different disciplines came together to help people. We also had the opportunity to monitor all parts of the research, from designing the methodology to data analysis and machine learning,” Kovalenko said.

The advantages of the video analysis approach is that it is simple, objective, noninvasive, quick, inexpensive and versatile.

To develop the machine learning algorithm, the researchers recorded 83 patients with and without Parkinson’s performing 15 tasks that they had designed, such as filling a glass with water. These tasks were developed in a prior feasibility study using wearable sensors. The machine learning technology allows for objective analysis which picks up certain features of the disease which may not be visible to the naked eye.

Coauthor of the study Sklotech Assistant Professor Dmitry Dylov, and “Machine learning and computer vision methods we used in this research are already well established in a number of medical applications; they can be trusted, and the diagnostic exercises for Parkinson’s disease have been in development by neurologists for some time. What is truly new about this study is our quantitative ranking of these exercises according to their contribution to a precise and specific final diagnosis. This could only be achieved in collaboration between doctors, mathematicians and engineers.”

“This collaboration between doctors and scientists in data analysis allows for many important clinical nuances and details that help achieve the best results. We as doctors see great potential in this; apart from differential diagnosis, we need objective tools to assess motor fluctuation in patients with PD. These tools can provide a more personalized approach to therapy and help make decisions on neurosurgical interventions as well as assess the outcomes of surgery later,” noted coauthor of the paper, neurologist Ekaterina Bril.

Source: News-Medical.Net

Journal information: Kovalenko, E., et al. (2021) Distinguishing Between Parkinson’s Disease and Essential Tremor Through Video Analytics Using Machine Learning: a Pilot Study. IEEE Sensors.doi.org/10.1109/JSEN.2020.3035240.

New Biomaterials Could Boost Vaccines or Self-sterilise PPE

Researchers from the Indian Institute of Science describe two technologies currently being researched that could be of great benefit in fighting viruses.

These technologies could enhance the effectiveness of vaccines, and also make surfaces destructive to viruses.

“It is important not just in terms of COVID,” explained author Kaushik Chatterjee. “We’ve seen SARS, and MERS, and Ebola, and a lot of other viral infections that have come and gone. COVID has, of course, taken a different turn altogether. Here, we wanted to see how biomaterials could be useful.”

The technologies combine the field of biomaterials, which are designed to interact with biological systems, along with nanotechnology, where structures are engineered on a tiny scale. Biomaterials have been used for dental implants and joint replacements, while nanotechnology has been harnessed for drug delivery systems.

One application the authors describe is the combination of nanotechnology and biomaterial could be used to prepare the immune system to recognise vaccine antigens.

“It is a means of stimulating the immune cells which produce antibodies during the vaccination,” explained author Sushma Kumari. “It is like a helper, like priming the cells. Now, the moment they see the protein, the cells are more responsive to it and would be secreting more antibodies.”

Another technology application is surfaces that disinfect themselves. By putting an electrical charge onto the surfaces, they could be made into a hostile coating that damages or destroys virus particles when they fall onto them. These surfaces could be used for PPEs and high-touch items such as doorknobs. This would save considerable time, effort and expense in regularly disinfecting surfaces with chemicals or UV irradiation. A similar existing technology is the use of silver nanoparticles as antibacterial medical device coatings.

This technology is very much in its early stages, the researchers stressed. Research needs to be done on which biomaterials are suitable for fighting viruses, and the solution for one disease may not be applicable to another.

Source: Medical Xpress

Journal information: “Biomaterials-based formulations and surfaces to combat viral infectious diseases” APL Bioengineering, DOI: 10.1063/5.0029486

New Type of Sensor ‘Bandage’ Alerts Clinicians to Pressure Sores

A new type of wearable sensor ‘bandage’ that can monitor blood oxygenation is being developed.

Driven partly by the growing interest in telemedicine as a result of COVID researchers at Missouri S&T are working on a printable, flexible, disposable sensor that can interact with a smartphone. This new kind of inexpensive sensor could alert health care workers early on to developing conditions such as pressure ulcers. Pressure ulcers normally develop from ischaemia caused by pressure and shear, and often occur in hospitalised patients or bedridden patients at home.

“Our current work focuses on designing and optimising a tissue oxygen sensor by using inexpensive inkjet printing techniques,” said Dr Chang-Soo Kim, professor of electrical and computer engineering at Missouri S&T. “Concurrently, we are developing a smartphone app that can interpret sensor images. This prototype will be evaluated using phantom tissue that mimics a pressure ulcer site.”

Dr Kim is working with other researchers to create a cheap, easy-to-use sensor to help prevent pressure sores which are on the rise due to obesity and diabetes. This might speed recovery, reducing the length of hospital stays and saving millions of dollars. 

Current pressure ulcer monitoring involves manual examination, but with this wearable sensor, drops in oxygen levels are sensed at the at-risk site before they have a chance to turn into a sore. The change could even be detected at home, in say a foot ulcer, alerting a clinician via smartphone who could then provide a diagnosis. 

“Our optical sensor bandage functions by detecting a low skin oxygen level caused by compromised circulation,” said Kim. “This low oxygen produces a color change called luminescence intensity. The smartphone can then take a photograph of the dressing and transmit it to enable remote monitoring or encourage timely intervention before major skin decomposition occurs.”

Source: Medical Xpress