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Why Should Hospitals Use A Health Monitoring System?

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The recent pandemic showed that the global health care industry was not ready for such a dramatic influx of patients with a previously unknown virus. In response to the coronavirus outbreak, new technologies designed to optimize the work of doctors and save more lives of those infected have begun to appear. The health monitoring system is already a fairly adapted practice. However, it is a must-have in modern conditions.

Health Monitoring System Definition

Health Monitoring System (HMS) is a smart and multi-layer solution that enables health data transfer from a patient’s wearable device to the doctor’s mobile application. This innovation is useful and beneficial for doctors, hospital owners, and patients, as it allows the provision of data-driven medical care in the smartest way possible.

Health Monitoring System is a must-have for providing quality medical services, quick response to changing epidemiological situations, and improved safety for both patients and doctors. And this is not the only reason to develop an HMS for your hospital in the current conditions.

Main Reasons To Use HMS For Hospitals

Here are the main reasons why a health monitoring system is a must-have solution for hospitals in unpredictable 2020 and beyond.

Provide Innovative Healthcare Services

The Health Monitoring System is the modern answer to outdated ways of managing, controlling, and monitoring patients. Of course, the ability to provide medical care using innovation and receive data-driven health services makes doctors work more efficient, reducing the likelihood of medical error, and patient’s anxiety as a result.

What is more, cloud computing, 5G, artificial intelligence, natural language processing technologies, and the Internet of Medical Things can make healthcare delivery even more advanced, plus match the healthcare services with patient’s preferences, according to Deloitte’s research.

Prioritize Patients In A Smarter Way

The Health Monitoring System allows physicians to smartly prioritize patients, saving more lives than it would be possible without the use of innovative technology. By relying on patient data from wearable devices, doctors can make more informed decisions whether to continue treatment in the hospital or about the patient’s ability to continue treatment at home, independently but under constant remote supervision.

Thus, the hospital can manage free beds without the risk of complications for patients who are released for home treatment and use the vacated beds for patients in critical conditions.

Monitor Chronic Patients Remotely

Chronic diseases are incurable, but such patients have every chance to live a quality life if their health condition is under their personal control and under the supervision of the attending physician. What is more, in most cases, chronic patients require hospitalization only when their diseases enter the critical phase. During the remission period, they can stay at home, taking the necessary medications, and leading the prescribed lifestyle.

A wearable device connected to the Health Monitoring System allows the attending physician to monitor chronic patients remotely, from time to time reviewing the treatment plan and responding promptly to critical situations.

Furthermore, AI-powered health monitoring systems are able to catch unnoticed changes in health conditions and alarm the doctor and the patient on the necessity to respond and prevent a critical condition.

Use the Available Resources Wisely And Save Money

By using wearable patient devices connected to a health monitoring system, doctors can rely on the transmitted data almost entirely. This eliminates the need to measure blood pressure, heart rate, blood sugar, and other indicators manually, thereby freeing up time, resources, and effort for patients in need of emergency care.

A system powered by artificial intelligence can give doctors even stronger information support about the health of patients by analyzing the whole medical history, taking into account the current indicators, and making reasonable assumptions about the methods of treatment the patient needs based on this data. Even though these assumptions will still need to be checked and approved by the attending physician, the likelihood of medical error is significantly reduced.

Conclusion

There is no doubt that over the next few years, a health monitoring system for hospitals will become as traditional a way of managing patients as the paper files used in the past. What is more, the coronavirus pandemic has become a real challenge for both private and public hospitals around the globe. The integration of a health monitoring system into the healthcare delivery process is the first step towards innovative, low-risks, and safe medical services.

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IVF gets Better with AI

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An Israeli startup has found a way to make fertility treatments more successful using Artificial Intelligence.

Embryonics has already seen no less than 6 full term pregnancies as a result of their novel system.

Doctors will often inseminate a female egg in a laboratory – a process known as In Vitro Fertilization. During first few days after the fertilization, the embryos will be housed in special incubators and watched continuously by an embryologist.

This embryologist will then return some of the embryos for in-human incubation. This is where it gets interesting because they have to choose what they feel are the most valuable embryos.

“The decision making is subjective, and is dependent on experience and intuition – a factor that changes between doctors and medical centers. Embryonics wide range of smart solutions simplifies complex processes with data-backed insight, aiming at optimizing quality and fertilizations rate success,” says Embryonics founder and CEO Yael Gold-Zamir.

The company says that the success rate of traditional methods of IVF carries a 30% success rate within the US, and that the success rate is even lower outside the US.

The company developed AI algorithms that help predict the likely success rate of fertility and IVF treatments. This takes a lot of the guesswork out of the selection process.

To train the model, scientists watched embryos developing during IVF treatment. As a result, the embryo-pregnancy success rate shot up by 20% and the model allowed doctors to predict the embryos that would not yield a successful pregnancy.

This difference is significant because it saves IVF patients a significant amount of money by making the process more efficient. By increasing the chances of success, it also saves patients from the emotional toll of unsuccessful IVF attempts.

Test Tube Babies become AI Babies

According to Dr. Gold-Zamir, Embryonics has come up with Ubar, the first commercially viable product that more accurately pinpoints healthy embryos.

It won’t be long before Embryonics’ product is in the market: The product could be CE cleared in a matter of weeks, and FDA approved within the year.

“Once regulatory approvals are in, we will start implementing the product in a number of Israeli medical centers that showed interest.”

“It’s a revolution. Traditional fertility treatments resulted in very low success rate. We are going to replace IVF test-tube babies with AI babies – a transition that will create a process that is shorter, cheaper, and less dangerous for millions of couples around the world.” Adds Zamir.

If we go by the findings of Israeli startups like Embryonics, AIDOC, and Zebra, you may be forgiven for thinking that AI medical imaging analysis may replace specialist like radiologists and embryologists in the near future.

But Dr. Gold-Zamir differs: “Algorithms will take over some of the radiologist’s tasks, opening more time for physicians to take a deeper dice into patient care. But that’s further down the road. Currently, all the available tools aid and improve radiologist and doctors’ workflow and quality, with tools trained in millions of different sample sources – a database too large for humans to process.”

The effect of Artificial Intelligence it appears, will be to make medical experts more accurate in their diagnoses, and not to replace them.

Dr. Yael Gold-Zamir founded Embryonics in 2018 and the company has grown to its current composition of 16 people. Embryonics has raised a $4million round of funding with the Schuctermann Family Investment Office as well as the Israel Innovation Authority.

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Four-Week Memory Test that could predict the Risk of Alzheimer’s

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Scientists now believe that it may be possible to identify people who have a greater risk of developing Alzheimer’s disease by testing their memory over a four-week period.

Trials have shown that zeroing in on the ability to retain a memory over a longer period could yield potentially more accurate predictors than the traditional memory tests. Traditional memory tests assess people’s memory over a period of half an hour.

University of Bristol researchers led the study which they published in the Alzheimer’s Research and Therapy journal in which they wanted to test using a word list to test people’s memory over four weeks. People were tested for their memory of the list four weeks after hearing it initially.

Those whose memory of the list after four weeks was better off, registered less cognitive decline over the year after. This was true even for those who did not have any problems with cognitive function or memory at the start.

Forty six older people participated in the study. All of them were healthy and their average age was 70.7. The study participants had to perform three memory tasks. Researchers tested t heir delayed recall 30 minutes later and then four weeks later.

They also did the Addenbrooke’s Cognitive Examination III or ACE-III test. ACE-III test is conventionally used to detect cognitive impairments, as well as a brain MRI. One year later, the participants repeated the same ACE-III test to measure their cognitive abilities.

At the end of the study, researchers found that 15 out of 46 participants had experienced a decline in their cognitive abilities, and that the verbal memory tests conducted over the initial period of four weeks would have yielded a better prediction of this decline than the standard memory tests.

After combining the scores from the four-week memory tests together with the results of the MRI brain scan, the researchers found that it was possible to make even more accurate prediction s of cognitive decline.

The MRI brain scans showed that there was a size reduction in the section of the brain that governs memory. This is the part of the brain that gets affected by Alzheimer’s Disease.

By testing long-term memory recall, the researchers found that they could detect Alzheimer’s disease much earlier and achieve better treatment outcomes. Treatments to stop Alzheimer’s disease or slow down its progression are much more effective when given during the early stages of the disease. This is the best time because patients are yet to develop significant problems with their memory.

In the words of Dr. Alfie Wearn, a Research Associate at the Bristol Medical School: Translational Health Sciences: “Our study shows evidence for a low-cost and quick to administer screening tool that could be used to identify the very earliest signs of Alzheimer’s disease. It could also directly speed up the development of effective Alzheimer’s disease therapies, and enable earlier treatment when such therapies are available.”

Dr. Liz Coulthard who is an Associate Professor in Dementia Neurology with the University of Bristol as well as a neurologist with the North Bristol NHS Trust also said this: “It is important to note the participants were healthy older people who did not develop Alzheimer’s during the trial, but some people did show the type of change over the course of a year in memory and thinking that can precede Alzheimer’s disease. Future work will establish whether this test predicts full-blown Alzheimer’s dementia.”

Researchers will now be testing the ability of these tests to detect Alzheimer’s disease in comparison with other cognitive deteriorating diseases. The researchers will be drawing comparisons between long-term memory test results of people who have evidence of Alzheimer’s disease and those without. The evidence is derived from analyzing their cerebrospinal fluid. Even though this method of detecting Alzheimer’s is the most effective, it is also too invasive, and researchers are working on less invasive methods.

The study was conducted with funding from a Wellcome Trust PhD study scholarship award received by Dr. Wearn who is in the Neural Dynamics PhD Programme. It was also funded by the Alzheimer’s Research UK as well as Brace, which is a dementia charity at Southmead Hospital in Bristol.

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An ionic forcefield for nanoparticles

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Nanoparticles may have the solution to awful side effects from chemotherapy. If doctors can use nanoparticles to carry drugs directly to a specific part of the body, they can make chemotherapautics less toxic.

But it is not that simple. Because nanoparticles trigger the body’s immune system to fight against them, the vast majority of them never reach their target.

Human blood serum contains proteins that tag the nanoparticles as invadors and a paltry 1% of the nanoparticles get to where they are going.

“No one escapes the wrath of the serum proteins,” said Eden Tanner, who was a postdoctoral Bioengeneering fellow at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS).

A research team led by Tanner and Professor Samir Mitragotri have created an ionic forcefield that could enable nanoparticles to achieve their goal by preventing the proteins in the blood serum from tagging the nanoparticles.

In experimenting with mice, the researchers found that the could make the nanoparticles to survive longer in the human body using a coat of the ionic liquid. This coating increased the number of nanoparticles that reached their target from 1% to more than 50%.

“The fact that this coating allows the nanoparticles to slip past serum proteins and hitch a ride on red blood cells is really quite amazing because once you are able to fight the immune system effectively, lots of opportunities open up,” explained Mitragotri, who is part of the Harvard’s Wyss Institute for Biologically Inspired Engineering faculty.

Ionic liquids are liquid salts and they are capable of holding charge.

“We knew that serum proteins clear out nanoparticles in the bloodstream by attaching to the surface of the particle and we knew that certain ionic liquids can either stabilize or destabilize proteins,” said Tanner, an assistant professor of chemistry and biochemistry at the University of Mississippi. “The question was, could we leverage the properties of ionic liquids to allow nanoparticles to slip past proteins unseen.”

The great thing about ionic liquids is that every small change you make to their chemistry results in a big change in their properties,” explained Christine Hamadani, who was the first author and a former graduate student at SEAS. “By changing one carbon bond, you can change whether or not it attracts or repels proteins.”

At the moment, Hamadani is a graduate student based at Tanner’s lab in the University of Mississippi.

Researchers used choline hexenoate to coat the nanoparticles. It is an ionic liquid with a natural aversion to serum proteins. The nanoparticles coated with ionic liquid attached themselves to red-blood cells and remained in circulation until they got to the lungs.

“This hitchhiking phenomenon was a really unexpected discovery,” said Mitragotri. “Previous methods of hitchhiking required special treatment for the nanoparticles to attach to red blood cells and even then, they only stayed at a target location for about six hours. Here, we showed 50 percent of the injected dose still in the lungs after 24 hours.”

The scientists are yet to understand exactly why the nanoparticles so easily attached themselves to lung tissue, but it shows that the system can work with a fair amount of precision.

“This is such a modular technology,” said Tanner, who plans will go on with her research at University of Mississippi. “Any nanoparticle with a surface change can be coated with ionic liquids and there are millions of ionic liquids that can be tuned to have different properties. You could tune the nanoparticle and the liquid to target specific locations in the body.”

“We as a field need as many tools as we can to fight the immune system and get drugs where they need to go,” said Mitragotri. “Ionic liquids are the latest tool on that front.”

Morgan J. Goetz co-authored the research paper.

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