medicine - Tech Like This https://techlikethis.com Technology News Daily Sat, 05 Aug 2023 08:36:36 +0000 en-US hourly 1 https://wordpress.org/?v=6.5.2 215328379 Top Technology Inventions or Innovations of 2022 for Health Technologies https://techlikethis.com/2023/08/01/top-technology-inventions-or-innovations-of-2022-for-health-technologies/?utm_source=rss&utm_medium=rss&utm_campaign=top-technology-inventions-or-innovations-of-2022-for-health-technologies Tue, 01 Aug 2023 12:17:43 +0000 https://techlikethis.com/?p=3553 Here are some of the top technology inventions and innovations for health in 2022: • Gene therapies advanced, with FDA approvals of new gene therapies for diseases like hemophilia and retinal diseases. Gene editing tools like CRISPR also made progress. • Implantable devices continued to miniaturize, with pacemakers, defibrillators and neuromodulation devices becoming smaller and […]

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Here are some of the top technology inventions and innovations for health in 2022:

• Gene therapies advanced, with FDA approvals of new gene therapies for diseases like hemophilia and retinal diseases. Gene editing tools like CRISPR also made progress.

• Implantable devices continued to miniaturize, with pacemakers, defibrillators and neuromodulation devices becoming smaller and more powerful. Some can be recharged wirelessly.

• Nucleic acid vaccines moved closer to approval, with promising results from mRNA COVID vaccines laying the groundwork for RNA-based vaccines and therapeutics against other diseases.

• Tissue engineering made gains in using scaffolds, cells and biomaterials to create implantable tissues and regenerate damaged body parts. This includes creating blood vessel networks within tissues.

• AI algorithms to diagnose diseases from medical scans showed continued improvement, though challenges remain around generalizability, explainability, data biases and clinician acceptance.

• Virtual reality and augmented reality tools for health applications advanced, with uses ranging from surgical training and simulation to mental health therapy and rehabilitation.

• Wearable health trackers collected more data than ever, though barriers persist to integrating that data into clinical care and using it to meaningfully improve health outcomes.

• Telehealth expanded to provide more virtual care options during the pandemic and help address healthcare access issues, though reimbursement and regulatory policies vary.

The top technologies for health in 2022 centered around gene and cell therapies, miniaturized implantable devices, nucleic acid vaccines, tissue engineering techniques and the application of emerging technologies like AI, VR/AR and wearables. However, realizing the full potential of these innovations will require overcoming persistent challenges around data integration, scalability and cost.

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Examples of Successful Bioprinting Applications So Far https://techlikethis.com/2023/08/01/examples-of-successful-bioprinting-applications-so-far/?utm_source=rss&utm_medium=rss&utm_campaign=examples-of-successful-bioprinting-applications-so-far Tue, 01 Aug 2023 08:20:10 +0000 https://techlikethis.com/?p=3523 Here are some examples of successful applications of bioprinting in the medical field to date: • Skin grafts – Several FDA-approved skin grafts have been created using bioprinted skin tissue. They have been used to treat burn victims and other patients with wound healing needs. • Bone and cartilage implants – Bioprinted implants of bone […]

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Here are some examples of successful applications of bioprinting in the medical field to date:

• Skin grafts – Several FDA-approved skin grafts have been created using bioprinted skin tissue. They have been used to treat burn victims and other patients with wound healing needs.

• Bone and cartilage implants – Bioprinted implants of bone and cartilage have been successfully used in jaw reconstruction surgeries and to repair cartilage damage in joints.

• Blood vessel models – Researchers have bioprinted basic models of blood vessels that mimic the structure and function of real vessels. They are being used to study diseases and test new drugs.

• Drug screening models – Bioprinted tissue constructs have been used as models to test the efficacy and safety of new drugs. They provide a more realistic alternative to lab-grown cell cultures.

• Bioprinted human tissue models – Researchers have printed tissue structures mimicking organs like the liver, heart and kidney that can be used to study human diseases at an early stage.

• 3D physical models – Bioprinting has been used to create customized 3D physical models of organs based on patient scans, helping surgeons better prepare for complex procedures.

While these examples show success stories, fully functional bioprinted replacement organs for human transplantation remain out of reach for now. Current applications are largely focused on wound healing, implants, drug testing and disease modeling using simpler tissues and tissue constructs. Nonetheless, these initial successes point to the potential of bioprinting for revolutionizing how tissues and organs can be created to benefit human health.

So in summary, while we have yet to realize the ultimate promise of bioprinted transplantable human organs, there are already many useful and practical medical applications of bioprinting emerging – particularly for creating skin grafts, bone and cartilage implants, and tissue models for testing and research.

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Potential Breakthroughs in Bioprinting of Tissue and Organ Structures https://techlikethis.com/2023/08/01/potential-breakthroughs-in-bioprinting-of-tissue-and-organ-structures/?utm_source=rss&utm_medium=rss&utm_campaign=potential-breakthroughs-in-bioprinting-of-tissue-and-organ-structures Tue, 01 Aug 2023 08:10:17 +0000 https://techlikethis.com/?p=3519 Bioprinting of living tissue and organ structures is a rapidly advancing field with the potential for major medical breakthroughs in the near future. Here are some key points to know: • Bioprinting involves using 3D printing technologies to deposit biomaterials, cells and growth factors in layers to create 3D tissue constructs. These constructs are intended […]

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Bioprinting of living tissue and organ structures is a rapidly advancing field with the potential for major medical breakthroughs in the near future. Here are some key points to know:

• Bioprinting involves using 3D printing technologies to deposit biomaterials, cells and growth factors in layers to create 3D tissue constructs. These constructs are intended to mimic natural tissues and organs.

• Researchers are working on bioprinting a variety of tissues, including skin, bone, cartilage, blood vessels, heart muscle and simple organs like kidneys. The goal is to eventually print more complex organs.

• The main promise of bioprinting is producing transplantable tissues and organs to address the severe shortage of donor organs. It could also enable creation of tissue models for drug testing and study of disease.

• Recent advances include bioprinting of more vascularized tissues with networks of blood vessels, as well as tissues with multiple cell types arranged in complex 3D structures.

• Some of the challenges still being worked on relate to bioprinting with the necessary cell densities, viscosities of bioinks, and capabilities for vascularization and tissue maturation.

• Some experts believe we are still many years away from fully functional 3D printed organs suitable for human transplantation. However, simpler tissues and tissue patches for wound healing and drug screening may emerge in the next few years.

• 2023 could see further progress in bioprinting more complex multilayer tissues, as well as refining bioinks and bioprinting processes. But true breakthroughs like transplantable human organs are likely still further off.

So in summary, while bioprinting has made huge strides in recent years, we have not yet reached the point of printing fully functional human replacement organs. But continuing advances – especially with vascularization of tissue constructs – bring that goal incrementally closer.

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Doctors, Get Ready for Your AI Assistants https://techlikethis.com/2023/01/28/doctors-get-ready-for-your-ai-assistants/?utm_source=rss&utm_medium=rss&utm_campaign=doctors-get-ready-for-your-ai-assistants Sat, 28 Jan 2023 15:32:00 +0000 https://techlikethis.com/2023/01/28/doctors-get-ready-for-your-ai-assistants/ How Machine Learning Revolutionizes Image Analysis in Hospitals: Unveiling Endless Medical Applications The impact of machine learning on the medical industry is nothing short of transformative, with hospitals rapidly adopting these cutting-edge technologies to analyze and collect images. Machine learning is enabling healthcare providers to harness the power of artificial intelligence (AI) for various medical […]

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How Machine Learning Revolutionizes Image Analysis in Hospitals: Unveiling Endless Medical Applications



The impact of machine learning on the medical industry is nothing short of transformative, with hospitals rapidly adopting these cutting-edge technologies to analyze and collect images. Machine learning is enabling healthcare providers to harness the power of artificial intelligence (AI) for various medical applications, leading to improved patient care, faster diagnoses, and more efficient workflows. In this article, we will delve into the world of machine learning and its expanding role in medical imaging, exploring how hospitals can reap the benefits of this groundbreaking technology.

The Intersection of Machine Learning and Medical Imaging

As the volume of medical data continues to grow exponentially, healthcare providers need efficient tools to analyze and manage this information. Machine learning, a subset of AI, is designed to process large amounts of data, identify patterns, and make predictions or decisions based on these patterns. This makes it an ideal solution for handling complex medical imaging tasks, such as identifying abnormalities in X-rays, CT scans, or MRI images.

Accelerating Diagnoses and Enhancing Accuracy

One of the most significant advantages of machine learning in medical imaging is its ability to speed up the diagnostic process. Traditional manual methods can be time-consuming and subject to human error, while machine learning algorithms can rapidly process images and provide accurate results. This not only saves valuable time for healthcare providers but also leads to earlier detection and treatment of various medical conditions, improving patient outcomes.

Reducing Radiation Exposure

Machine learning has the potential to reduce radiation exposure in medical imaging by optimizing image acquisition techniques. By using AI algorithms, healthcare providers can obtain high-quality images with less radiation dose, making the process safer for both patients and medical staff. This is particularly important in pediatric cases, where minimizing radiation exposure is crucial for long-term health.

Streamlining Workflows and Reducing Costs

The integration of machine learning in hospitals also helps streamline workflows and reduce costs. By automating repetitive tasks, such as image annotation or segmentation, medical professionals can focus on more critical aspects of patient care. Moreover, accurate AI-driven diagnoses reduce the need for additional tests or follow-up appointments, cutting healthcare costs and improving overall efficiency.

The Future of Machine Learning in Hospitals

The medical applications of machine learning are endless, and we are only just beginning to scratch the surface. As the technology continues to evolve, we can expect even more groundbreaking advancements in the field. Future applications may include:

  1. Personalized treatment plans: Machine learning can help healthcare providers tailor treatment plans to individual patients based on their unique medical histories and genetic profiles.
  2. Predictive analytics: AI algorithms can analyze large volumes of patient data to predict the likelihood of specific outcomes, such as disease progression or treatment success.
  3. Virtual assistance: Machine learning can power virtual assistants that aid medical professionals in decision-making or provide remote patient monitoring and support.

Conclusion

Machine learning is revolutionizing medical imaging in hospitals, offering endless applications that enhance patient care and streamline healthcare processes. As the technology matures, we can expect even more innovations in the field, driving a new era of data-driven, personalized medicine. By embracing machine learning and harnessing its potential, hospitals can improve patient outcomes, save time and resources, and ultimately provide better healthcare for all.

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What Makes You Sick in Winter? You can blame your nose https://techlikethis.com/2023/01/02/what-makes-you-sick-in-winter-you-can-blame-your-nose/?utm_source=rss&utm_medium=rss&utm_campaign=what-makes-you-sick-in-winter-you-can-blame-your-nose Mon, 02 Jan 2023 20:53:10 +0000 https://techlikethis.com/2023/01/02/why-do-you-get-sick-in-the-winter-blame-your-nose/ The scientists incubated the virus-laden vesicles and examined them under microscope to determine what was going on. They found that the viruses got stuck to receptors on the vesicles’ surface—trapping them and rendering them incapable of infecting cells. The vesicles had been acting as decoys. “Because the same receptors are on the vesicles as are […]

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The scientists incubated the virus-laden vesicles and examined them under microscope to determine what was going on. They found that the viruses got stuck to receptors on the vesicles’ surface—trapping them and rendering them incapable of infecting cells. The vesicles had been acting as decoys. “Because the same receptors are on the vesicles as are on the cells, most of the viruses get bound to the vesicle and killed before they ever get to the cells,” Bleier says. 

In addition, the scientists also found that the stimulated vesicles contained higher quantities of microRNA—small strands of RNA—previously known to have antiviral activity.

Scientists wanted to find out how small changes in temperature might alter the amount and quality of the secreted Vesicles. To create a dish-based mimic of the human nose, they used small pieces of mucosal tissue extracted from a few patients’ noses and placed those little tissues, known as explants, into cell culture. They then lowered the temperature to 37 degrees Celsius and stimulated TLR3 to increase its regulation. Finally, they collected secreted vesicles.

They found that the cold caused a 42 percent drop in the tissues’ ability to secrete vesicles, and those vesicles had 77 percent fewer of the receptors that would let them bind to and neutralize a virus. “Even in that 5-degree drop for 15 minutes, it resulted in a really dramatic difference,” Amiji says. 

Noam Cohen, an otorhinolaryngologist at the University of Pennsylvania, says that this work sheds light on the mechanics of how viruses spread more easily in cold weather. Bleier was Bleier’s mentor when he was medical student, and Cohen was not affiliated with the work. “What this paper is demonstrating is that viruses, even though they’re incredibly simplistic, are incredibly crafty,” he says. “They’ve optimized a cooler temperature to replicate.”  

Jennifer Bomberger, a microbiologist and immunologist at Dartmouth College, says that one of the study’s interesting points was how the “vesicles weren’t just immune-education,” meaning they weren’t just ferrying immune system instructions. Instead, she continues, “they were actually carrying out some of the actual antiviral effects themselves by binding to the virus.” She notes, though, that looking at mucus from patients with real infections (rather than using a virus-mimic) might provide additional insights into how these vesicles work.

These vesicles’ behavior is not the only reason upper respiratory infections spike in winter. Previous work has shown that colder temperatures also diminish the work of immune system antiviral molecules called interferons. People who move inside are more likely to contract viruses. Social distancing during the pandemic has also potentially left people with less built-up immunity to the viruses that cause the flu and RSV, both part of the “tripledemic” that emerged this winter.  

Still, Amiji says that understanding exactly how the vesicles change could lead to some interesting ideas for therapies—because perhaps scientists can control those changes. He visualizes it as “hacking” the vesicle “tweets.” “How can we increase the content of these antiviral mRNAs or other molecules to have a positive effect?” he asks.

In light of the Covid-19 pandemic, the team notes that there’s already a practical real-world way to help your nose defend you in cold weather: Masking. Noses can stay snug and cozy under a mask—as any glasses-wearer whose lenses have fogged from their warm breath can attest. “Wearing masks may have a dual protective role,” says Bleier. “One is certainly preventing physical inhalation of the [viral] particles, but also by maintaining local temperatures, at least at a relatively higher level than the outside environment.”

And here’s one more idea to consider: Maybe it’s just time for a vacation somewhere warm.

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It’s not possible to find a drug that will cure aging. https://techlikethis.com/2023/01/01/its-not-possible-to-find-a-drug-that-will-cure-aging/?utm_source=rss&utm_medium=rss&utm_campaign=its-not-possible-to-find-a-drug-that-will-cure-aging Sun, 01 Jan 2023 15:11:53 +0000 https://techlikethis.com/2023/01/01/a-drug-to-treat-aging-may-not-be-a-pipe-dream/ The life expectancy is Since the 1800s, the number of countries that perform best has increased by 3 months each year. Throughout most of human history, you had a roughly 50–50 chance of making it into your twenties, mainly due to deaths from infectious diseases and accidents. Thanks to medical advances, we’ve gradually found ways […]

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The life expectancy is Since the 1800s, the number of countries that perform best has increased by 3 months each year. Throughout most of human history, you had a roughly 50–50 chance of making it into your twenties, mainly due to deaths from infectious diseases and accidents. Thanks to medical advances, we’ve gradually found ways to avoid and treat such causes of death; the end result is perhaps humanity’s greatest ever achievement—we’ve literally doubled what it means to be human, increasing lifespans from 40 to 80 years. On the other hand, this has allowed one scourge to rise above all the others to become the world’s largest cause of death: aging.

Aging is now responsible for over two-thirds of deaths globally—more than 100,000 people every day. This is because, counterintuitive though it may sound, the chief risk factor for most of the modern world’s leading killers is the aging process itself: Cancer, heart disease, dementia, and many more health problems become radically more common as we get older. Although smoking and poor nutrition can all increase your risk for chronic diseases such as heart disease, diabetes, or other serious illnesses, these factors are minor in comparison to the effects of aging. High blood pressure increases the risk of having heart attacks by twofold, while being older than 40 makes your risk increase by ten. The number of deaths and suffering that aging causes will increase as the world population age.

But this isn’t my prediction—apart from being depressing, extrapolating a two-century trend for a further year is hardly groundbreaking. What’s far more exciting is that, in 2023, we may see the first drug that targets the biology of aging itself.

Scientists now have a good handle on what causes us to age, biologically speaking: The so-called “hallmarks” of the aging process range from damage to our DNA—the instruction manual within each of our cells—to proteins that misbehave because of alterations to their chemical structure. The best part is that we have now ideas about how to Treat them.

By the end of 2023, it’s likely that one of these ideas will be shown to work in humans. One strong contender is “senolytics,” a class of treatments that targets aged cells—which biologists call senescent cells—that accumulate in our bodies as we age. These cells seem to drive the aging process—from causing cancers to neurodegeneration—and, conversely, removing them seems to slow it down, and perhaps even reverse it.

In 2018, a 2018 study showed that mice treated with senolytic cocktails of quercetin and dasatinib, a cancer drug, not only lived longer but were also less likely to develop diseases such as cancer. They could even run faster and farther on tiny treadmills designed for mice.

Over two dozen companies are searching for ways to safely and effectively eliminate these senescent human cells. Unity Biotechnology is the largest company. It was founded by Mayo Clinic scientists and investors, including Jeff Bezos. They are currently testing a variety of senolytic medications against lung diseases such as macular degeneration, which can cause blindness, and lung fibrosis. There are many approaches under investigation, including small proteins that target senescent cells, vaccines to encourage the immune system to clear them out, and even gene therapy by a company called Oisín Biotechnologies, named after an Irish mythological character who travels to Tir na nÓg, the land of eternal youth.

Senolytics aren’t the only contenders, either: Others currently in human trials include Proclara Biosciences’ protein GAIM, which clears up sticky “amyloid” proteins, or Verve Therapeutics’ gene therapy to reduce cholesterol by modifying a gene called PCSK9. It is likely that the first anti-aging drug will target an individual age-related condition, not aging in general. We will soon be able to look at this goal if we see a drug which targets an aspect of aging through clinical trials.

These treatments may be the catalyst for the biggest medical revolution since the invention of antibiotics in 2023. Rather than going to the doctor when we’re sick and picking off age-related problems like cancer and dementia in their late stages when they’re very hard to fix, we’ll intervene preventively to stop people getting ill in the first place—and, if those treadmill-shredding mice are anything to go by, we’ll reduce frailty and other problems that don’t always elicit a medical diagnosis at the same time.

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Mpox’s Bittersweet Demise https://techlikethis.com/2022/12/22/mpoxs-bittersweet-demise/?utm_source=rss&utm_medium=rss&utm_campaign=mpoxs-bittersweet-demise Thu, 22 Dec 2022 23:28:57 +0000 https://techlikethis.com/2022/12/22/the-bittersweet-defeat-of-mpox/ Here are a few The world was worried about monkeypox becoming the next pandemic for several weeks during this summer. At the peak in early August the US was recording 600 cases a day, and the health authorities’ fumbling response echoed the early days of Covid-19. Vaccines were slow to arrive and in short supply for […]

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Here are a few The world was worried about monkeypox becoming the next pandemic for several weeks during this summer. At the peak in early August the US was recording 600 cases a day, and the health authorities’ fumbling response echoed the early days of Covid-19. Vaccines were slow to arrive and in short supply for most of the fall. Testing was bottlenecked. Antiviral drugs, though they existed, were almost unobtainable because they hadn’t been federally authorized for the disease. Although most of the cases involved gay or bisexual men and can last for weeks, it was possible that this rarely fatal, but sometimes very painful, infection could spread to other people. 

The world is very different today, at least temporarily. The spread of mpox had slowed dramatically by mid-December. The US, which had recorded 29,740 cases as of December 21—more than a third of the global total—was registering barely a handful each day. 

One reason was that vaccines were more readily available and that testing proved to be easier. Another is that Covid is much harder to pass than mpox. But the most important, according to most, is the fact that those most at-risk took control of their safety in the early weeks, when authorities were struggling. “The success was the community mobilization,” says Joseph Osmundson, a queer activist, molecular microbiologist, and clinical assistant professor at New York University.

Osmundson assisted in brokering what may be considered a symbol for the response to mpox. A fleet of white-painted vans, with privacy-masked windows, was assembled by Osmundson. The vans contained mobile clinics for vaccines, which were operated by New York City’s health department. These vans were parked at night in bars, clubs, and other establishments that cater to bisexual and gay men between Labor Day and Thanksgiving. Many parties that were held there were shut down for some time. According to the queer community, the location owners were able to identify the most vulnerable areas and agreed to park the vans outside. More than 3000 doses were administered by the van vaccination program.

The program showed a health department being smart about where to find people who needed help, but just as much, it represented a community that wasn’t willing to wait for the health bureaucracy to find them. Gay and bi men, as well as other members of the queer community, reached out to each other, badgered and agitated from the very beginning. Some who had caught the disease posted online videos or gave press interviews describing their symptoms in intimate detail, defying the risk of social shaming (“He caught monkeypox, guess what he’s been up to”) to warn others about the risks. Information was shared via WhatsApp and social media about the availability of vaccines at clinics. how to When most doctors hadn’t seen any cases of mpox, they were able to diagnose the patient. The few who received antiviral therapies before they became generally available were given advice to share with their doctor about how to navigate the bureaucratic maze that is required to authorise an individual.

Most everyone is unanimous in their belief that gay men with many sexual partners are responsible for the decline in ski slope cases. As research by the US Centers for Disease Control and Prevention demonstrated in the fall, men who felt at risk voluntarily abstained from sex, kept to one or a small number of partners, signed out of hook-up apps, or skipped the kind of parties where group sex happens.

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