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A prescription for an AI inspired MedTech industry
Thinking beyond physical products and the growing significance of AI in MedTech markets
A wind of change is blowing through MedTech markets, which has prompted some key opinion leaders to think beyond physical products and begin to use artificial intelligence (AI) techniques to develop value added services that bolt-on to their existing physical offerings to improve clinical care and economic efficiencies while providing access to new revenue streams. Bryan Hanson, Zimmer-Biomet’s CEO, recently suggested that >70% of his company’s R&D spend is now being invested in data informatics and robotics. Not far behind is Stryker, another global orthopaedic corporation, which has implemented AI strategies to improve care and differentiate its offerings. Both are thinking beyond their physical products to create a suite of services derived from AI enhanced data collected from their existing devices. Such actions provide a template that can be copied by other enterprises. How long will it take for AI solutions to represent a significant percentage of MedTechs’ revenues? In this Commentary
This Commentary: (i) describes the growing significance of AI, (ii) explains the difference between data mining, AI, and machine learning, (iii) illustrates AI technologies that have become an accepted part of our everyday lives, (iv) highlights technical drivers of AI solutions, (v) describes obstacles to the development of AI systems, (vi) indicates how such obstacles may be reduced, (vii) describes Zimmer’s and Stryker’s AI driven data initiatives, (viii) suggests that the Zimmer-Stryker AI template has broad potential, (ix) suggests that AI systems can breathe life into 'dead data', (x) provides an example of a company at the intersection of medical information and AI techniques, (xi) describes the origins of the phrase, ‘wind of change’, and defines the ‘winds’ driving change in current MedTech markets, (xii) reports that ~80% of B2B sales in the economy generally are digitally driven, (xiii) provides some reasons for MedTechs’ slow adoption of AI systems, (xiv) floats the idea that the future for producers is to partner with tech savvy start-ups and (xv) describes how US AI supremacy is being challenged. AI: vast and fast growing
It is challenging for baby boomers and older millennials, who populate MedTechs’ C suites, to fully grasp the potential of AI. This is largely because their corporate careers were underway before the digital age started, and for three decades they have personally prospered from manufacturing physical devices without the help of AI. A person who understands the potential of AI is Sundar Pichai, the CEO of Alphabet, one of the world’s largest tech companies. In a recent BBC interview Pichai suggested, "AI is the most profound technology that humanity will ever develop and work on . . . If you think about fire or electricity or the Internet, it's like that, but even more profound". This suggests that Hanson is right to redirect Zimmer’s R&D spend towards AI-driven solutions. A February 2021 report from the International Data Corporation (IDC), a market intelligence firm, suggests that the current global AI market is growing at a compound annual growth rate (CAGR) of ~17% and is projected to reach ~US$554bn by 2024. Data mining, AI, machine learning and neural networks
Among MedTechs’ C suites there is some confusion about data strategies and AI solutions. Many enterprises use data mining techniques on existing large datasets to search for patterns and trends that cannot be found using simple analysis. They employ the outcomes to increase revenues, cut costs, improve customer relationships, reduce risks and more. Although data mining is commonly used when working on AI projects, in of itself, it is not AI. So, let us briefly clarify. AI is the science and engineering of developing intelligent computer programs to enable machines to provide requested information, supply analysis, or trigger events based on findings. AI creates machines that think, learn, and solve problems better and faster than humans. This is different to traditional computing, where coders provide computers with exact inputs, outputs, and logic. By contrast, AI systems can be “schooled” to carry out specific tasks without being programmed to do so. This is referred to as machine learning, which usually requires large amounts of data to train algorithms [mathematical rules to solve recurrent problems]. A critical element of machine learning’s success is neural networks, which is an AI technique modelled on the human brain that is capable of learning and improving over time. Neural networks are comprised of interconnected algorithms that share data and are trained by triaging those data: a process referred to as ‘back propagation’. In healthcare, machine learning outputs range from the ability to recognise images faster and more accurately than health professionals to making in vivo diagnoses. AI systems have become an accepted part of our everyday lives without us realising it
Most people are aware of significant AI breakthroughs such as self-driving cars and IBM’s Watson computer winning the US quiz show Jeopardy by beating two of the best players the show had produced. Lesser known, is in 2012, AlexNet, a neural network learning system, won a large-scale visual recognition contest, which previously was thought too complex for any machine. In 2016, Google’s AlphaGo, a machine learning algorithm, defeated Lee Sedol, who was widely considered the world’s greatest ever player of the ancient Chinese game Go. Most observers believed it would be >10 years before an AI programme would defeat a seasoned Go champion. Although Go’s rules are simple, the game is deceptively complex, significantly more so than chess. It has a staggering 10170 possible moves, which is more than the number of atoms known in the universe. Significantly, machine learning algorithms embedded in AlphaGo, mastered the game without any prior knowledge and without any human input. More recently Google launched AlphaGo Zero, an AI system, which can play random games against itself and learn from it. During the decade of these breakthroughs, AI systems became an accepted part of our everyday lives without us realising it. Examples include, Google searches, GPS navigation, facial recognition, recommendations for products and services, bank loans we receive, insurance premiums we are charged, and chatbots, which organizations use to provide us with information. Technical drivers of AI systems
In addition to commercial drivers, AI techniques are driven by easy availability of data, an explosion in computing power and the increased use of clusters of graphic processing units (GPUs) to train machine-learning systems. These clusters, which are widely available as cloud services over the Internet, facilitate the training of more powerful machine-learning models. An example is Google's Tensor Processing Unit (TPU), which has the capability to carry out more than one hundred thousand trillion floating-point operations per second (100 petaflops). This has the potential to accelerate the rate at which machine-learning models can be trained. Further, the cloud has made data storage and recovery easier, which has motivated government agencies and healthcare institutions to build vast unstructured data sets that they make accessible to researchers throughout the world to stimulate innovation. Obstacles to the development of AI systems
So far, we have emphasised the benefits of AI, but there are concerns that machine intelligence will accelerate at an incomprehensible rate, surpass human intelligence, and transform our reality. This is referred to as “singularity”, which has generated concerns from key opinion leaders. Nearly a decade ago, Stephen Hawking, a pre-eminent British scientist, warned in a BBC interview, that singularity “could spell the end of the human race”. More recently, Hawking’s view has been echoed by Elon Musk, founder, and CEO of Tesla and SpaceX, who suggests that AI is, “more dangerous than nuclear warheads and poses a fundamental risk to the existence of human civilization". Musk has called for stronger regulatory oversight of AI, and more responsible research into mitigating its downsides. In 2015, he set up OpenAI, a non-profit research organization, with a mission to promote and develop AI systems that benefit society. |
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The cost of IVF in Guwahati may be very affordable and low-priced. It levels from Rs. 1,00,000 to Rs. 2,30,500, relying upon diverse factors, like- doctor’s revel in, medical institution’s success charge, medical institution location (IVF cost varies from metropolis to metropolis), additional treatments or approaches with IVF for example- donor programs, PGS/PGD, cryopreservation, and more. Every couple dreams of having a child at a certain point in their lives. However, this dream gets shattered due to certain medical complications. But with the rise in assisted reproductive techniques such as IVF, now having your own biological baby is possible.
Centers and doctors are also keen on spreading awareness regarding infertility, IVF, and other Assisted Reproductive Techniques (ART) in Rajkot. IVF centers in Rajkot have highly affordable prices, and as the city has a bit lower price index than the average price index of India, your expenses of trip, travel, transport, and more can be saved as well. the list is of the best IVF centers in Rajkot based on pricing, experience, services, patient review, infrastructure, technology, patient counts, and success rates.
In vitro fertilization (IVF) is a complex series of procedures used to help with fertility or prevent genetic problems and assist with the conception of a child. During IVF, mature eggs are collected (retrieved) from ovaries and fertilized by sperm in a lab. Then the fertilized egg (embryo) or eggs (embryos) are transferred to a uterus.
IVF Cost in Coimbatore is rated depending on the infertility workup of the couple, and this is not set for all the couples which may differ depending on the health situations of the couple. The IVF treatment cost in Coimbatore is affordable for foreign couples, and Coimbatore welcomes the highest number of IVF Medical tourists in India. IVF cost may vary depending on the drugs worked. IVF cost is separated into various verticals namely,
IVF Pre-preparation costs
Hormone Injections Cost
IVF Cost
You can see the list of Best IVF Centre in Coimbatore with a high success rate of 2021
Rao Hospital
Iswarya Fertility Center Coimbatore
Nova IVF Fertility Centre - Coimbatore
Vamsam Fertility Centre, Coimbatore
Sudha IVF & Fertility Centre
1. Rao Hospital (IVF Centre in Coimbatore)
Rao Hospital is the Best IVF Centre in Coimbatore. The Center for Assisted Reproduction & Endoscopy (CARE) at Rao Hospital is one of its kind in the country providing the best in infertility and reproductive medicine programs. They are equipped with a team of highly qualified and experienced experts in this region that are trained abroad in infertility services and reproductive endocrinology. Their treatments are tailor-made to suit individual needs through extensive expertise and access to the latest therapies and technologies.
They own full-service laboratories that are nationally certified and provide a complete range of tests and specialized capabilities that includes embryo freezing. Laboratory services include screening for genetic diseases, semen analysis, hormone testing, and sperm processing for inseminations. Additionally, being leaders in research they try to improve reproductive health and maximize the chances of a successful pregnancy thereby reducing the risk of multiples/triplets which puts the mother and baby at an increased risk.
Fertility Consultant- Dr. Asha R. Rao
2. Iswarya Fertility Center Coimbatore (IVF Centre in Coimbatore)
Iswarya Fertility Center is one of the Best IVF Centre in Coimbatore. The centre has multiple fertility centers and women’s hospitals everywhere in India. Their fertility hospitals provide treatments like IUI, IVF, ICSI, IMSI, Hysteroscopy, laparoscopy services. Their women’s hospitals give services like Maternity, pregnancy care, delivery services, and well-women checkups at affordable prices. Iswarya fertility chain has an exclusive team of IVF specialists who take care of their IVF centers in India with expertise to contribute high-quality fertility procedures for every infertility difficulty.\
Fertility Consultant - Dr. Arun Muthuvel, Dr. Amutharani.G
3. Sudha IVF & Fertility Centre
Sudha Hospital saw its humble beginnings in Erode in 1985, The hospital established by Dr.D.kandaswamy started with just 20 beds. Subsequently, Sudha Heart and Maternity Hospitals was established in the year 1990.
Identifying a critical need in society, Sudha Hospital set up a fertility center in 1995. Envisioned by Dr.S.Dhanabagyam, the center was among the pioneers of IVF procedure in the Kongu region. Today, the brand takes pride in completing 25 successful years in the field of fertility management. Sudha Hospital extended its presence to Coimbatore in 2010 and is today one of the top-performing IVF centre in Coimbatore. Sudha Fertility Centre has also further extended its footprint with branches in Erode, Salem, Coimbatore, Chennai, Madurai, Trichy, Colombo, Hyderabad, and Bengaluru.
4. Vamsam Fertility Centre, Coimbatore
Vamsam Fertility Research Centre was founded in 2007 by Dr. Paramasivam and Dr. Silambuselvi whose vision of giving high-quality, comprehensive, infertility treatment delivered with compassion and personalized care is the cornerstone of our fertility center. Infertility can be a stressful time for couples and many studies reflect the negative impact this can have on success. VFRC is dedicated to making your journey an easier one. Our philosophy is to provide the highest standard of individualized medical care combined with a stress-free approach. This is reflected in our highest success rates with our couples achieving their dream of having a baby.
They believe every patient is different, every couple is different, and every problem is different. That’s why we provide a full spectrum of care tailored to fit the specific needs of each patient or couple. They at Vamsam Fertility Research Centre will not only help you become pregnant but also help you carry out your baby full term. This holistic approach is one of the many factors that set us apart from other centers.
5. Nova IVF Centre Coimbatore
Nova IVF centre has many fertility centers and women’s hospitals throughout India. Their fertility hospitals give treatments like IUI, IVF, ICSI, IMSI, Hysteroscopy, laparoscopy services. Nova IVF Centre provides services like Maternity, pregnancy care, delivery services, and well-women checkups at affordable costs. Nova IVF center network has an exclusive team of IVF specialists who take care of our IVF centers in India with the expertise to provide high-quality fertility treatments for every infertility issue. The centre is headed by the very experienced Infertility Specialist in Coimbatore are Dr. V. Latha, and Dr. Meenakshi Priya.
For more information call us at - 9643264509 or visit -
https://www.vinsfertility.com/ivf-centres/top-3-best-ivf-centres-in-coimbatore-with-high-success-rate-2021/
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IVF Cost in India changes from one patient to another and IVF clinic to clinic. Infertility is a growing issue of today's life; the two husbands and spouses have high-pressure occupations and are profession situated. Nowadays, there is less an ideal opportunity for family advancement. After marriage, a few plans a kid, it brings about a long battle. Typically, in disappointment, couples are prepared to find any way to finish the Parenthood dream sooner. Most couples find it challenging to become Parents and work with issues of infertility normally. Accordingly, IVF treatment is viewed as the best treatment for dealing with infertility.
On the off chance that you are looking for minimal cost IVF in Mumbai, contact us. We have planned our treatment costs so that couples who ventured back because of the great IVF treatment cost, would now be able to bear the cost of it. Vinsfertility contains proficient staff of top notch IVF Doctors. The middle is most popular for its cutting-edge infrastructure and current gear because of which the expense of IVF treatment varies starting with one area then onto the next. The common factors affecting the IVF cost in Mumbai are. The most common quest for IVF treatment is "Cost of IVF in Mumbai. In Mumbai, patients can benefit the best fertility treatment with a higher achievement rate. IVF stands for In Vitro Fertilization and can definitely assist you with overcoming your infertility issues. It's otherwise called Test Tube Baby Treatment and is one of the best and progressed medicines in Assisted Reproductive Technology (ART).