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Landa is General Manager. He is a 20 year veteran of multiple technologies and has developed and managed technical projects from Global Positioning Systems GPS and the Hubble Space Telescope to web-based Care Management systems used in most health insurance companies in the US.
Jonathan Gerlitz — Mr. He is an accomplished Israeli scientist with numerous commercially successful patents. Gerlitz is a recognized expert in the field of electro-optics and has a proven track record in designing commercially viable consumer products based on IR technologies.
Efraim Landa — Mr. Landa is Co-Founder and Managing Member. He is an entrepreneur with over 40 years of broad experience in sales, marketing, finance and development of medical products.
Alex Ostritsky — Mr. Ostritsky is Manager, Engineering group. He has over 20 years of experience in electrical engineering and has developed many successful, consumer-related medical products based on electro- optical technology.
He directs a laboratory of around a dozen scientists who work in photodynamic therapy and photobiomodulation. He has an h-factor of 79 and 22, citations. All software development, including product CPU programming and production equipment programming are all done by the in-house engineering experts.
The use of laser light as a therapeutic intervention has been shown to reduce pain and inflammation, and trigger healing processes and regeneration of skin and other tissues. LLLT works by directing certain wavelengths of light onto the body, which are absorbed by the mitochondria inside cells see image below.
This newly absorbed energy triggers natural mechanisms like vasodilation and ATP synthesis, which help return the body to homeostasis. Gene transcription pathways can be triggered meaning that a brief exposure to light can have long-lasting effects. Laser light has been found to be effective in treating people for various ailments such as skeletal and tissue pain and injuries.
An important application is to stimulate the healing of chronic non-healing wounds, particularly in the case of diabetic patients. In the past, light therapy has often been applied by large, expensive and hazardous equipment, which requires operation by trained personnel.
Accordingly, smaller, non-hazardous and safe laser therapy devices, which can be used at home, are desirable. Currently available hand-held devices are still quite limited as they lack the ability to alter the aperture, the treated area, and the radiant power to suit different patients andconditions.
Until recently, the key mechanisms of action for LLLT were not known, but thanks to many pioneering scientists including Michael Hamblin, Juanita Anders, Rachel Lubart, Shimon Rochkind and others, we better understand how light can heal the body.
A smaller effective aperture has a comparatively higher radiant flux density for treatment of a small area that requires a higher energy dose, while a larger effective aperture facilitates treatment of a large area at a relatively reduced radiant intensity.
Additional lenses to optimally treat different wound sizes Key Benefits How to write a college paper on a machine learning Our patented optics correct for any aberations in the output signal and focus coherent and collimated light on the treatment area. This work both our nm and nm wavelength beams and helps ensure that treatments are consistent and as short as optimally possible.
Non-clinicians can easily change between the different device lenses to achieve the right wound treatment power. Home-use form factor Many therapeutic lasers are designed for the clinic and clinician use. The MC-8XL is designed with the non-clinical home user in mind. Its ergonomic design is light, easy to handle and is portable for use on the go.
Its simple design including the accompanying stand is made for easy programming and consistent application each time it is used.
Eye safe design All lasers are classified by the risk they pose to the patient e. The MC — 8XL is eye safe in all configurations and even remains safe while changing apertures.
Its patented design reduces patient risk and make the device eye safe for home use.2. Write Machine Learning Code. Starting in machine learning by writing code can make things difficult because it means that you are solving at least two problems rather than one: how a technique works so that you can implement it and how to apply the technique to a given problem.
"Write a term paper about (Machine Learning) according to the following requirement A. Outline to evaluate a technology: 1. Definition of the technology-- What 2. Brief History --when 3. Major applications of the tech-- How 4. Major developers of the tech-- who. How do I go about writing a paper in machine learning? Update Cancel. Answer Wiki. 3 Answers. Marco Wiering, Assistant Prof. in Machine Learning at the Uni. of Groningen. Since you also want to write a paper on it, I suggest you try and write a comprehensive review of the course. Talk about it as if you were a journalist commenting on the. Multiple Sclerosis Research Paper of How to write a conclusion essay Indeed, schools, colleges or employers. Community involvement the common good, as justice of the action for the higher education students are treated as potentially denigrating aesthetic an epilogue the dimensions of collaborative learning .
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Microsoft Azure Documentation. Get Started. Get started with Azure. Explore our most popular services with quickstarts, samples, and tutorials. Deploy infrastructure. Predictive analytics, machine learning, and statistical modeling for big data. Log Analytics. Collect, search, and visualize machine data from on-premises and cloud.
“At the broadest level, we find that machine learning offers an improved description of asset price behavior relative to traditional methods,” the researchers write, suggesting that ML could become the engine of effective portfolio management, able to predict . a course (synonyms for “expected learning outcome” include learning outcome, learning outcome statement, and student learning outcome).
Evaluation – making a judgment about the quality of student’s learning/work and assigning a. matically classify microscope images of cells, are developed using machine learning, again because the resulting systems are more accurate than hand-crafted programs. One massive-scale application of computer vision trained using machine learning is its use by the US Post Ofﬁce to automatically sort letters containing handwritten addresses.